Computer hardware Books

Book SynopsisThe information infrastructure – comprising computers, embedded devices, networks and software systems – is vital to operations in every sector: chemicals, commercial facilities, communications, critical manufacturing, dams, defense industrial base, emergency services, energy, financial services, food and agriculture, government facilities, healthcare and public health, information technology, nuclear reactors, materials and waste, transportation systems, and water and wastewater systems. Global business and industry, governments, indeed society itself, cannot function if major components of the critical information infrastructure are degraded, disabled or destroyed.Critical Infrastructure Protection XVI describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: Industrial Control Systems Security; Telecommunications Systems Security; Infrastructure Security.This book is the 16th volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of 11 edited papers from the Fifteenth Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection, held as a virtual event during March, 2022.Critical Infrastructure Protection XVI is an important resource for researchers, faculty members and graduate students, as well as for policy makers, practitioners and other individuals with interests in homeland security.

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Book SynopsisThis book constitutes the proceedings of the 13th International Conference on Swarm Intelligence, ANTS 2022, held in Málaga, Spain, in November 2022. The 19 full papers presented, together with 14 short papers and 4 extended abstracts were carefully reviewed and selected from 45 submissions. ANTS 2022 contributions are dealing with any aspect of swarm intelligence such as behavioral models of social insects, empirical and theoretical research in swarm intelligence, application of swarm intelligence methods, and much more.Table of ContentsA Geometry-Sensitive Quorum Sensing Algorithm for the Best-of-N Site Selection Problem.- An Approach Based on Particle Swarm Optimization for Inspection of Spacecraft Hulls by a Swarm of Miniaturized Robots.- Automatic Design of Multi-Objective Particle Swarm Optimizers.- Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors.- Benchmarking Performances of Collective Decision-making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation.- Best-of-N Collective Decisions on a Hierarchy.- Collective Decision-making for Conflict Resolution in Multi-Agent Pathfinding.- Controlling Robot Swarm Aggregation through a Minority of Informed Robots.- Decentralized Multi-Agent Path Finding in Warehouse Environments for Fleets of Mobile Robots with Limited Communication Range.- Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping.- Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization.- Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution.- Learning Resilient Swarm Behaviors via Ongoing Evolution.- Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments.- Moving Mixtures of Active and Passive Elements with Robots That Do Not Compute.- Real-time Coordination of a Foraging Robot Swarm Using Blockchain Smart Contracts.- Robot Swarms Break Decision Deadlocks in Collective Perception through Cross-inhibition.- Self-Organized Chain Formation of Nano-Drones in an Open Space.- The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments.- A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms.- An Adaptive Metric Model for Collective Motion Structures in Dynamic Environments.- An Extension of the iMOACOR Algorithm Based on Layer-Set Selection.- Binary Particle Swarm Optimization for Selective Cell Switch-Off in Ultra-Dense 5G Networks.- Choeur Synth´etique: an Art Installation Based on Swarm Robotics.- Component Swarm Optimization using Virtual Forces for Solving Layout Problems.- Constant Bearing Flocking.- Distributed Sorting in Complex Environments.- Effect of Different Communication Affordances on the Emergence of Collaboration Strategies in an Online Multiplayer Game.- Generating and Analyzing Collective Step-climbing Behavior in a Multi-legged Robotic Swarm.- Modeling Immune Search through the Lymphatic Network.- Optimization of a Self-organized Collective Motion in a Robotic Swarm.- Response Threshold Distributions to Improve Best-of-N Decisions in Minimalistic Robot Swarms.- Stability-Guided Particle Swarm Optimization.- Animals Are Not Particles: Towards a Second Generation of ‘Hetero-Swarm’ Robotics.- Applying PSO to Find Optimal Strategy for 3D Chip Layout Design.- Particle Swarm Optimization Applied to the Direct Aperture Optimization Problem on Radiotherapy.- Search Space Illumination of Robot Swarm Parameters for Trustworthiness.

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Book SynopsisThis three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.Table of Contents​AI Foundations/Decision Theory.- Fair Allocation with Special Externalities.- Robust Weighted Partial Maximum Satisfiability Problem : Challenge to Sigma2P-Complete Problem.- Epistemic Logic via Distance and Similarity.- Abstract Argumentation Goes Quantum: An Encoding to QUBO Problems.- Diversification of Parallel Search of Portfolio SAT solver by Search Similarity Index.- Dagster: Parallel Structured Search with Case Studies.- Faster Optimistic Online Mirror Descent for Extensive-form Games.- Generalized 3-Valued Belief States in Conformant Planning.- Clustering-Based Network Inference with Submodular Maximization.- Applications of AI.- A LiDAR based Control Solution to Achieve High Precision in Autonomous Parking.- Multi-View Heterogeneous Temporal Graph Neural Network for ”Click Farming” Detection.- Deep forest with sparse topological feature extraction and hash mapping for brain network classification.- COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network.- VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation.- Detecting Video Anomalous Events with an Enhanced Abnormality Score.- Frequency Domain Based Learning with Transformer for Underwater Image Restoration.- MMISeg: A Semi-Supervised Segmentation Method Based on Mixup and Mutual Information for Cardiac MRI Segmentation.- Dual-Stream Feature Fusion Network for Detection and ReID in Multi-Object Tracking.- A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.- A Robust Lightweight Deepfake Detection Network using Transformers.- A General Personality Analysis Model Based on Social Posts and Links.- Deception Detection Towards Multi-turn Question Answering with Context Selector Network.- A Unet with Sequence Information for Gastrointestinal Tract Segmentation.- Co-contrastive self-supervised learning for drug-disease association prediction.- Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention based Full Semantic Information Mining.- Data Mining and Knowledge Discovery.- APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.- Features Fusion Framework for Multimodal Irregular Time-series Events.- A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales.- Time-series Prediction Improvement by Adaptive Decomposition.- Attention-based Memory-Enhanced Knowledge Tracing.- Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction.- Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding.- Performance Improvement Validation of Decision Tree Algorithms with Non-normalized Information Distance in Experiments.- The Time-sequence Prediction via Temporal and Contextual Contrastive Representation Learning.- Managing dataset shift by adversarial validation for credit scoring.- Linking Check-in Data to Users on Location-aware Social Networks.- Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization.- Evolutionary Computation/Optimisation.- Speeding up Genetic Programming Based Symbolic Regression Using GPUs.- High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.- Multi-Objective Evolutionary Instance Selection for Multi-Label Classification.- An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.- Evolutionary Automated Feature Engineering.

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Book SynopsisThis three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.Table of Contents​Knowledge Representation and Reasoning.- Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information.- Source-Free Implicit Semantic Augmentation for Domain Adaptation.- Role-Oriented Network Embedding Method Based on Local Structural Feature and Commonality.- Dynamic Refining Knowledge Distillation Based on Attention Mechanism.- Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction.- Entity Similarity-based Negative Sampling for Knowledge Graph Embedding.- Label Enhancement using Inter-Example Correlation Information.- Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network.- Multi-Subspace Attention Graph Pooling.- Embedding for Temporal Knowledge Graph Reasoning.- Natural Language Processing.- M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering.- Noise-robust Semi-supervised Multi-modal Machine Translation.- SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction.- PEKIN: Prompt-based External Knowledge Integration Network for Rumor Detection on Social Media.- Entity-aware Social Media Reading Comprehension.- Analysis via Virtual Node Augmented Graph Convolutional Networks.- Bidirectional Macro-level Discourse Parser based on Oracle Selection.- Evidence-Based Document-Level Event Factuality Identification.- Named Entity Recognition Model of Power Equipment Based on Multi-feature Fusion.- Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction.- A Structure-aware Method for Cross-domain Text Classification.- SICM: A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT.- HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification.- Pay Attention to the ”Tails”: A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection.- Choice-driven Contextual Reasoning for Commonsense Question Answering.- Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism.- Chinese Medical Named Entity Recognition Using External Knowledge.- Neural Networks and Deep Learning.- Trajectory Prediction With Heterogeneous Graph Neural Network.- EEF1-NN: Efficient and EF1 allocations through Neural Networks.- Weighted Adaptive Perturbations Adversarial Training for Improving Robustness.- Improved Network Pruning via Similarity-Based Regularization.- Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer.- ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning.- Semantic-Adversarial Graph Convolutional Network for Zero-shot Cross-modal Retrieval.- DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection.- A Vehicle Re-ID Algorithm Based on Channel Correlation Self-Attention and Lstm Local Information Loss.- A Self-Supervised Graph Autoencoder with Barlow Twins.- Few-shot Image Classification Method Based on Fusion of Important Features of Different Scales.- Group Residual Dense Block for Key-Point Detector with One-level Feature.

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Book SynopsisThis three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.Table of ContentsRecommender System.- Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.- MF-TagRec: Multi-feature fused tag recommendation for GitHub.- Co-contrastive Learning for Multi-behavior Recommendation.- Pattern Matching and Information-aware between Reviews and Ratings for Recommendation.- Cross-view Contrastive Learning for Knowledge-aware Session-based Recommendation.- Reinforcement Learning.- HiSA: Facilitating Efficient Multi-Agent Coordination and Cooperation by Hierarchical Policy with Shared Attention.- DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning.- PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control.- Identifying Multiple Influential Nodes for Complex Networks based on Multi-Agent Deep Reinforcement Learning.- Online Learning in Iterated Prisoner’s Dilemma to Mimic Human Behavior.- Optimizing Exploration-Exploitation Trade-off in Continuous Action Spaces via Q-ensemble.- Hidden Information General Game Playing With Deep Learning and Search.- Sequential Decision Making with “Sequential Information” in Deep Reinforcement Learning.- Two-Stream Communication-Efficient Federated Pruning Network.- Strong General AI.- Multi-scale Lightweight Neural Network for Real-time Object Detection.- Hyperspectral Image Classification Based On Transformer and Generative Adversarial Network.- Deliberation Selector for Knowledge-grounded Conversation Generation.- Training a Lightweight ViT Network for Image Retrieval.- Vision and Perception.- Segmented–original Image Pairs to Facilitate Feature Extraction in Deep Learning Models.- FusionSeg: Motion Segmentation by Jointly Exploiting Frames and Events.- Weakly-supervised Temporal Action Localization with Multi-head Cross-modal Attention.- CrGAN: Continuous Rendering of Image Style.- DPCN: Dual Path Convolutional Network for Single Image Deraining.- All Up to You: Controllable Video Captioning With a Masked Scene Graph.- A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising.- Learning Spatial Fusion and Matching for Visual Object Tracking.- Lightweight Wavelet-based Transformer for Image Super-resolution.- Efficient high-resolution human pose estimation.- The Geometry Enhanced Deep Implicit Function based 3D Reconstruction for objects in a real-scene image.- Multi-View Stereo Network with Attention Thin Volume.- 3D Point Cloud Segmentation Leveraging Global 2D-view Features.- Self-Supervised Indoor 360-Degree Depth Estimation via Structural Regularization.- Global Boundary Refinement for Semantic Segmentation via Optimal Transport.- Optimization-based Predictive Approach for On-Demand Transportation.- Joint Contrast: Skeleton-based Mutual Action Recognition with Contrastive Learning.- Nested Multi-Axis Learning Network for Single Image Super Resolution.- Efficient Scale Divide and Conquer Network for Object Detection.- Video-Based Emotion Recognition in the Wild for Online Education Systems.- Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network.- Self-Supervised Vision Transformer based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation.- Lightweight image dehazing neural network model based on estimating medium transmission map by intensity.- CMNet: Cross-aggregation Multi-branch Network for Salient Object Detection.- More than Accuracy: an Empirical Study of Consistency between Performance and Interpretability.- Object-scale Adaptive Optical Flow Estimation Network.- A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning.- Rotating Target Detection Based On Lightweight Network.- Corner Detection Based on a Dynamic Measure of Cornerity.

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Book SynopsisThis book covers the theory of multidimensional signals and systems and related practical aspects. It extends the properties and mathematical tools of one-dimensional signals and systems to multiple dimensions and covers relevant timeless topics including multidimensional transformations, multidimensional sampling as well as discrete multidimensional systems. A special emphasis is placed on physical systems described by partial differential equations, the construction of suitable integral transformations and the implementation of the corresponding discrete-time algorithms. To this end, signal spaces and functional transformations are introduced at a mathematical level provided by undergraduate programs in engineering and science.The presentation takes a comprehensive, illustrative and educational approach without reference to a particular application field. Instead, the book builds a solid theoretical concept of multidimensional signals and systems and shows the application to various problems relevant for practical scenarios.Table of Contents

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Book Synopsis1. Introduction.- 2. Overview on Multidimensional Signals.- Part I: Theory.- 3. Elements from One-Dimensional Signals and Systems.- 4. Multidimensional Signals.- 5. Discrete Multidimensional Systems.- 6. Continuous Multidimensional Systems.- Part II Applications.- 7. Electrical Transmission Lines.- 8. Particle Diffusion.- 9. Sound Synthesis.- 10. Sound Propagation.- 11. Mathematical Derivations.- Solutions to Problems.

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Book SynopsisThis book constitutes the proceedings of the Workshop on Asynchronous Many-Task Systems and Applications 2023 in Baton Rouge, LA, USA, February 2023. The workshop present the advantages and challenges of task-based programming on modern and future HPC systems.The 6 full papers included in this volume were carefully reviewed and selected from 7 submissions. Table of ContentsCommand Horizons: Coalescing Data Dependencies while Maintaining Asynchronicity.- Extending Hedgehog’s dataflow graphs to multi-node GPU architectures.- Scheduling Many-task Applications on Multi-clouds and Hybrid Clouds.- Framework for Extensible, Asynchronous Task Scheduling (FEATS) in Fortran.- Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc.- Shared memory parallelism in Modern C++ and HPX.

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Book SynopsisThis book constitutes the refereed proceedings of the 7th IFIP TC 10 International Embedded Systems Symposium, IESS 2022, held in Lippstadt, Germany, during November 3-4, 2022. The 10 full revised papers and 2 short papers presented were carefully reviewed and selected from 13 submissions.

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Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.Table of ContentsGeometry and machine learning.- Divergences and computational information geometry.- Statistics, topology and shape spaces.- Geometry and mechanics.- Geometry, learning dynamics and thermodynamics.- Quantum information geometry.- Geometry and biological structures.- Geometry and applications.

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Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.Table of ContentsGeometry and machine learning.- Divergences and computational information geometry.- Statistics, topology and shape spaces.- Geometry and mechanics.- Geometry, learning dynamics and thermodynamics.- Quantum information geometry.- Geometry and biological structures.- Geometry and applications.

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Book SynopsisThis book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.Table of ContentsCBR and Deep Learning.- Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.- Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology.- CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation.- Representation and Similarity.- Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.- On-demand and model-driven case building based on distributed data sources.- The Case for Circularities in Case-Based Reasoning.- A Contextual Information-augmented Probabilistic Case-based Reasoning Model for Knowledge Graph Reasoning.- Case-based Sample Generation using Multi-Armed Bandits.- Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents.- CBR and Explainable AI Cases are King: A User Study of Case Presentation to Explain CBR Decisions.- CBR driven Interactive Explainable AI.- Selecting Explanation Methods for Intelligent IoT Systems: a Case-Based Reasoning Approach.- Case Based Explanation for Time Series Forecasting Models.- Case Base Maintenance.- Group Fairness in Case-Based Reasoning.- Addressing Underestimation Bias in CBR through Case-Base Maintenance.- The Problem Drift Problem and First Steps Towards Addressing It.- Adaptation: Techniques and Application Case-Based Adaptation of Argument Graphs with WordNet and Large Language Models.- Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR.- A Case-Based Approach for Workflow Flexibility by Deviation.- Lazy Adaptation Knowledge Learning based on Frequent Closed Itemsets.- Case-Based Applications.- An Overview and Comparison of Case-Based Reasoning Frameworks.- Case-Based Cleaning of Text Images.- A Multi-agent Case-based Reasoning Intrusion Detection System Prototype.- A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation.- An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities.- Retrieval of similar cases to improve the diagnosis of diabetic retinopathy.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Science with Learning and AI.- ​Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach.- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis.- Boosting LightWeight Depth Estimation Via Knowledge Distillation.- Graph Neural Network with Neighborhood Reconnection.- Critical Node Privacy Protection Based on Random Pruning of Critical Trees.- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound.- Multitask-based Cluster Transmission for Few-Shot Text Classification.- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties.- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation.- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction.- A Sparse Matrix Optimization Method for Graph Neural Networks Training.- Dual-dimensional Refinement of Knowledge Graph Embedding Representation.- Contextual Information Augmented Few-Shot Relation Extraction.- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks.- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection.- Low Redundancy Learning for Unsupervised Multi-view Feature Selection.- Dynamic Feed-Forward LSTM.- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge.- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks.- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion.- Subspace Clustering with Feature Grouping for Categorical Data.- Learning Graph Neural Networks on Feature-Missing Graphs.- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion.- Kernel-based feature extraction for time series clustering.- Cluster Robust Inference for embedding-based Knowledge Graph Completion.- Community-enhanced Contrastive Siamese networks for Graph Representation Learning.- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention.- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training.- An Improved Cross-Validated Adversarial Validation Method.- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification.- Joint Label-Structure Estimation from Multifaceted Graph Data.- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation.- Multi-Dimensional Graph Rule Learner.- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs.- Robust Few-shot Graph Anomaly Detection via Graph Coarsening.- An Evaluation Metric for Prediction Stability with Imprecise Data.- Reducing The Teacher-Student Gap Via Elastic Student.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Management Systems.- Explainable Multi-type Item Recommendation System based on Knowledge Graph.- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction.- MVARN: Multi-view attention relation network for figure question answering.- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation.- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM.- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification.- Multi-Display Graph Attention Network for Text Classification.- Debiased Contrastive Loss for Collaborative Filtering.- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization.- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering.- Hypergraph Enhanced Contrastive Learning for News Recommendation.- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs.- A Session Recommendation Model based on Heterogeneous Graph Neural Network.- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach.- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System.- Multi-level and Multi-interest User Interest Modeling for News Recommendation.- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation.- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning.- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation.- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation.- Heavy Weighting for Potential Important Clauses.- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation.- Multi-Path based Self-Adaptive Cross-Lingual Summarization.- Temporal Repetition Counting Based on Multi-Stride Collaboration.- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning.- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm.- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning.- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection.- Multi-task learning based skin segmentation.- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation.- Citation Recommendation Based on Knowledge Graph and Multi-task Learning.- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction.- The Minimal Negated Model Semantics of Assumable Logic Programs.- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsEmerging technologies for Knowledge science, engineering and management.- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics.- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds.- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark.- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning.- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning.- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios.- Research on remote sensing image classification based on Transfer learning and Data Augmentation.- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism.- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning.- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation.- Are GPT Embeddings Useful for Ads and Recommendation?.- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models.- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach.- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue.- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation.- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization.- Recent Progress on Text Summarisation Based on BERT and GPT.- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization.- A Legal Multi-Choice Question Answering Model Based on BERT and Attention.- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term.- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification.- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.- Learning Category Discriminability for Active Domain Adaptation.- Multi-Level Contrastive Learning for Commonsense Question Answering.- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model.- Univarite Time Series Forecasting via Interactive Learning.- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge.- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries.- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction.- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge.- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction.- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer.- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability.- RFLSem: A lightweight model for textual sentiment analysis.

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Book SynopsisThis book constitutes the refereed deadline proceedings of the 28th International Conference on Graph-Based Representation and Reasoning, ICCS 2023, held in Berlin, Germany, during September 11–13, 2023.The 9 full papers, 5 short papers and 4 Posters are included in this book were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: Complexity and Database Theory, Formal Concept Analysis: Theoretical Advances, Formal Concept Analysis: Applications, Modelling and Explanation, Semantic Web and Graphs, Posters.Table of ContentsComplexity and Database Theory.- Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute?.- Formal Concept Analysis: Theoretical Advances.- Squared symmetric formal contexts and their connections with correlation matrices.- Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis.- On pseudointents in Fuzzy Formal Concept Analysis.- Maximal Ordinal Two-Factorizations.- A Note on the Number of (Maximal) Antichains in the Lattice of set Partitions.- Formal Concept Analysis: Applications.- Formal Concept Analysis for Trace Clustering in Process Mining.- Summarization of massive RDF graphs using identifier classification.- Towards a Flexible and Scalable Data Stream Algorithm in FCA.- Modelling and Explanation.- Postmodern Human-Machine Dialogues: a Pedagogical Inquiry Experiment.- Conceptual Modelling with Euler+ Diagrams.- Automatic Textual Explanations of Concept Lattices.- Semantic Web and Graphs.- Ontology Population from French Classified Ads.- Graph Extraction for Assisting Crash Simulation Data Analysis.- Posters.- Factorization of formal contexts from modal operators.- Towards confirmation measures to mixed attribute implications.- Concept lattices as a reduction tool for fuzzy relation equations.- Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.Table of ContentsCollective Intelligence and Collective Decision-Making.- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions.- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management.- An Architecture for Enabling Collective Intelligence in IoT Networks.- Self-Organizing Maps for Data Purchase Support in Data Marketplaces.- Agent based model of elementary school group learning – a case study.- Deep Learning Techniques.- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks.- DNGAE: Deep Neighborhood Graph Autoencoder for robust blindhyperspectral unmixing.- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition.- Graph Convolution Collaborative Filtering with Dense Embeddings.- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-ray Image Classification.- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection.- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series.- Efficient Sparse Networks from Watts-Strogatz Network Priors.- Natural Language Processing.- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation.- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method.- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology.- Detecting Duplicate Multiple Choice Questions in The Large Question Bank.- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform.- Data Minning and Machine learning.- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach.- Complexity-Based Code Embeddings.- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study.- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation.- Staircase Recognition based on Possibilistic Feature Quality Assessment Method.- Social Networks and Intelligent Systems.- Toward effective link prediction based on local information in organizational social networks.- A new topic modeling method for tweets comparison.- Measuring gender: A machine learning approach to social media demographics and author profiling.- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach.- Educational Videos Recommendation System Based On Topic Modeling.- Cybersecurity, Blockchain Technology and Internet of Things.- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems.- Trust Assessment on Data Stream Imputation in IoT Environments.- Optimizing Merkle Tree Structure for Blockchain transactions by a DCProgramming approach.- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living.- Hyperledger blockchain-enabled cold chain application for flower logistics.- A Fully Decentralized Privacy-Enabled Federated Learning System.- Cooperative Strategies for Decision Making and Optimization.- Two-dimensional Pheromone in Ant Colony Optimization.- Analysis of different reinsertion strategies in Steady State GeneticAlgorithm.- Traffic Optimization by Local Bacterial Memetic Algorithm.- Optimizing Fire Control Monitoring System in Smart Cities.- Computational Intelligence for Digital Content Understanding.- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning.- Speaker Identification Enhancement Using Emotional Features.- Classification of punches in Olympic boxing using static RGB cameras.- Learning Human Postures using Lab-Depth HOG Descriptors.- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis.- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network.- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification.- Intelligent Automated Pancreas Segmentation using U-Net Model Variants.- Knowledge Engineering and Apllication for Industry 4.0.- Energy and Congestion Awareness Traffic Scheduling in HybridSoftware-Defined Network with Flow Splitting.- "Is Proton good enough?" - a performance comparison between gaming on Windows and Linux.- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas.- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas.- Complex layers of ranked prognostic models.- Project Team Members competences configuration: a proactive andreactive approach.- Computational Intelligence in Medical Applications.- Teeth disease recognition based on X-ray images.- Predicting Alzheimer’s Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort.- MEP: A Comprehensive Medicines Extraction System on Prescriptions.- New Approaches to Monitoring Respiratory Activity as Part of an Intelligent Model for Stress Assessment.- An Adaptive Network Model for Anorexia Nervosa: Addressing the Effects of Therapy.- ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 chest X-Ray image.- Ensemble Models and Data Fusion.- Credit Risk Scoring Using a Data Fusion Approach.- Goal-oriented Classification of Football Results.- Learning from Imbalanced Data Streams Using Rotation-based Ensemble Classifiers.- DE-Forest – optimized decision tree ensemble.- Mining multiple class imbalanced datasets using a specialized balancing algorithm and the Adaboost technique.- Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks.

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Book SynopsisThis book constitutes the refereed proceedings of the 14th International Symposium on Frontiers of Combining Systems, FroCoS 2023, held in Prague, Czech Republic, in September 2023. The symposium was co-located with the 32nd International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, TABLEAUX 2023.The 14 papers presented were thorouhgly reviewed and selected from the 22 high-quality paper submissions. They are grouped in the volume according to the following topic classification: analysis of programs and equations; unification; decidable fragments; frameworks; higher-order theorem proving.This is an open access book.Table of Contents​Analysis of Programs and Equations.- Unification.- Decidable Fragments.- Frameworks.- Higher-order Theorem Proving.

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Book SynopsisThe multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.Part V: ​Robustness; Time Series; Transfer and Multitask Learning.Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.Table of ContentsRobustness.- Time Series.- Transfer and Multitask Learning.

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Book SynopsisThis book constitutes the refereed proceedings of the 8th International Conference on Information, Communication and Computing Technology, ICICCT 2023, held in New Delhi, India, during May 27, 2023.The 14 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: global platform for researchers, scientists and practitioners from both academia and industry to present their research and development activities in all the aspects of Pattern Recognition and computational Intelligence techniques.Table of ContentsUsing BERT for Swiss German Sentence Prediction.- An ARIMA and XGBoost Model utilized for forecasting Municipal Solid Waste generation.- An Empirical Study of Intrusion Detection By Combining Clustering and Classification Methods.- Personalized Movie Recommendation Prediction Using Reinforcement Learning.- An Ensemble And Deep Neural Network Based Approaches For Automated Sentiment Analysis.- In-Store Product Placement using LiDAR-Assisted Discrete PSO Algorithm.- Deep Residual Variational Autoencoder for Image Super-Resolution.- Hybrid HAN Model to Investigate Depression from Twitter Posts.- Transfer Learning-Based Encoder-Decoder Model For Skin Lesion Segmentation.- A System For Liver Tumor Detection.- High Speed and Efficient Reconfigurable Histogram Equalisation Architecture for Image Contrast Enhancement.- A Practical Use For AI-Generated Images.- Homomorphic Encryption Schemes using Nested Matrices.- A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction.

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Book SynopsisThis book constitutes selected, revised and extended papers of the 7th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2021, held in April 2021, and 8th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2022, held in April 2022. Due to the COVID-19 pandemic both conferences were held online. The 4 revised full papers presented at GISTAM 2021 were carefully reviewed and selected from the 44 submissions, and 3 papers presented at GISTAM 2022 were selected from the 27 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection.Table of ContentsMapping Prosopis Juliora Invasion using Remote Sensing Data and GIS Geostatistics Techniques.- Progress on Land Surface Phenology Estimation with Multispectral Remote Sensing.- Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones.- Characteristic of the Urban Landscape of the City of Split (Croatia) - Application of WorldView3 Imagery and GEOBIA Method in Derivation of Urban Planning Indicators (UPI).- Potential and Limitations of Free Online Precise Point Positioning Services for GNSS Rover-Base Surveys in Low-Density CORS Areas.- The Use of Volunteered Geographic Information to Explore Informal Trail Networks in Protected Areas.- Solar Energy Assessment: From Rooftop Extraction To Identifying Utilizable Areas.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.Table of ContentsA Comparative Study of Sentence Embedding Models for Assessing Semantic Variation.- A Deep Learning based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays.- A Depth-guided Attention Strategy for Crowd Counting.- A Noise Convolution Network for Tampering Detection.- Attention-based Feature Interaction Deep Factorization Machine for CTR Prediction.- Block-level Stiffness Analysis of Residual Networks.- CKNA: Kernel Hyperparameters Optimization Method for Group-wise CNNs.- Conditional Convolution Residual Network for Efficient Super-Resolution.- Cross Attention with Deep Local Features for Few-shot Image Classification.- Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module.- Deep-learning Based Three Channel Defocused Projection Profilometry.- Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection.- DLUIO: Detecting Useful Investor Opinions by Deep Learning.- Dynamic obstacle avoidance for unmanned aerial vehicle using dynamic vision sensor.- Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions.- Energy Complexity Model for Convolutional Neural Networks.- Enhancing the Interpretability of Deep Multi-Agent Reinforcement Learning via Neural Logic Reasoning.- Evidential Robust Deep Learning for Noisy Text2text Question Classification.- FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction.- Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks.- Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks.- Long-distance Pipeline Intrusion Warning Based on Environment Embedding From Distributed Optical Fiber Sensing.- LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition.- MADNet: EEG-based Depression Detection using a Deep Convolution Neural Network Framework with Multi-dimensional Attention.- Maintenance automation using deep learning methods a case study from the aerospace industry.- MCASleepNet: Multimodal channel attention-based deep neural network for automatic sleep staging.- Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment.- Multi-relation Representation Learning based Deep Network for Patent Classification.- One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis.- Patches Channel Attention For Human Sitting Posture Recognition.- RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection.- Rethinking CNN Architectures in Transformer Detectors.- Robustness of Biologically-inspired filter-based ConvNet to Signal Perturbation.- Self-Supervised Graph Convolution for Video Moment Retrieval.- Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking.- Taper Residual Dense Network for Audio Super-Resolution.- VPNDroid: Malicious Android VPN detection using a CNN-RF method.- Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics.- BLR:A multi-modal sentiment analysis model.- Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis.- Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality.- Prompt-oriented Fine-tuning Dual Bert for Aspect-Based Sentiment Analysis.- Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks.- Using Masked Language Modeling to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token Prediction.

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Book SynopsisThis book constitutes the proceedings of the 4th International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows:​ advanced imaging, segmentation, and ultrasound techniques; predictive analysis, learning, and classification; multimodal imaging, reconstruction, and real-time applications; diagnostic enhancements and novel ultrasound innovations.Table of ContentsAdvanced Imaging, Segmentation, and Ultrasound Techniques.- Predictive Analysis, Learning, and Classification.- Multimodal Imaging, Reconstruction, and Real-time Applications.- Diagnostic Enhancements and Novel Ultrasound Innovations.

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Book SynopsisThis book constitutes the refereed proceedings of the 11th Iberoamerican Conference on Applications and Usability of Interactive TV, jAUTI 2022, Cordoba, Spain, November 17–18, 2022. The 9 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: Content Creation and Interaction, Audiovisual Consumption, e-inclusion, Digital Infrastructure. Table of Contents​Content Creation and Interaction.- Personalized Web-based Contents, generated through a Cross-media Environment, as Additional Information to Documentary Video.- MNEMOSCOPE - A model for digital co-creation and visualization of collective memories.- Dynamic configuration of panoramic virtual tours.- Audiovisual Consumption.- Personalized notifications for the TV ecosystem: field trial of an iTV solution.- Combining Text-To-Speech Services with Conventional Voiceover for News Oralization.- e-inclusion.- iTV to connect generations: a field trial of a solution to send personalized notifications.- Digital Infrastructure.- Encryption of Messages and Additional Information in Digital Terrestrial Television’s Transport Stream Using PSI/SI Tables.- On Using a Microearthquake Recognition System for an Early Warning System at Cotopaxi Volcano.- Using eye tracking to map attention in an EEG-based brainwave graphic visualization system.-Evaluating Perceived Value and Intention to Continue Using Over-the-Top Services in Latin America: A Case Study in Quito, Ecuador.

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Book SynopsisThis book constitutes the referred proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Virtual Event, February 6–8, 2022. The 15 full papers included in this book were carefully reviewed and selected from 392 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. Table of ContentsPapers.- Automatic Threshold RanSaC Algorithms for Pose Estimation Tasks.- Semi-Automated Generation of Accurate Ground-Truth for 3D Object Detection.- A Quantitative and Qualitative Analysis on a GAN-based Face Mask Removal on Masked Images and Videos.- A Quantitative and Qualitative Analysis on a GAN-based Face Mask Removal on Masked Images and Videos.- Partial Alignment of Time Series for Action and Activity Prediction.- Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition.- ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data.- Influence of Errors on the Evaluation of Text Classification Systems.- Autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces.- The Electrodermal Activity of Player Experience in Virtual Reality Games: An Extended Evaluation of the Phasic Component.- MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage.- DIAR: Deep Image Alignment and Reconstruction Using Swin Transformers.- Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset.- Transformers in Unsupervised Structure-from-Motion.- A Study of Aerial Image-based 3D Reconstructions in a Metropolitan Area.

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Book SynopsisThis two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11–15, 2023.The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works.The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.Table of Contents​Virtual Worlds, Performance, Games and Play.- As If They Were Here: The Impact of Volumetric Video on Presence in Immersive Augmented Reality Storytelling Traversing Space in The Under Presents (2019), a VR Game.- ”It’s About What We Take With Us And What We Leave Behind”: Investigating the Transformative Potential of Pervasive Games with Various Stakeholders.- Communal Ritual Play: Repetition and Interpretation of Game Narratives Across Communities.- Bridging the gap between the physical and the virtual in tabletop role playing games: exploring immersive VR tabletops.- Circulation and Narrative in a Virtual Environment Detecting Player Preference Shifts in an Experience Managed Environment.- Applications and Case Studies.- ”Bury Me, My Love”: the boundary between reality and fiction in IDNs for smartphone.- Traversing boundaries when translating a literary IDN into several languages: a case study.- The Ethical Colonizer? Grand Strategy Games, Colonization, and New Ways of Engaging Moral Choices.- Gaming the System: Case Study in Investigative Journalism and Playful Interactive Narrative Design to Explain Systemic Bias in Immigration Policy.- Fostering Interdisciplinary Learning for Elementary Students through Developing Interactive Digital Stories.- Merging site recreation and museum exhibition in archaeology exhibition.- Teaching Interactive Digital Narrative Through Found Photography.- Late Breaking Works.- Figure of speech detection and generation as a service in IDN authoring support.- ChatGPT as a Narrative Structure Interpreter.- Curatorial Challenges of Exhibiting VR IDN’s in Film Festival Formats.- What really happened here? Dealing with uncertainty in The Book of Distance: a critical historiography perspective.- A theory-of-mind game for the early detection of frontotemporal dementia.- Towards Procedural Generation of Narrative Puzzles for Open World Games.- Mind Stories: a Story Making game - From Narrative Therapy to Interactive Narrative Therapy. Empathic Experiences of Visual Conditions with Virtual Reality.- The Chronicles of ChatGPT: Generating and Evaluating Visual Novel Narratives on Climate Change Through ChatGPT.- A Crossmedia Storytelling Platform to Empower Vulnerable Groups for IT Security.- Introducing the Comic Automaton: Interaction Design Options for an Interactive Comic for Higher Education.- Comic for Higher Education Dataset Collected Using Illustration Cards.- Analyzing Audience Comments: Improving Interactive Narrative with ChatGPT.- Integrating Storytelling and Making: A Case Study in Elementary School.- Designing a Language Model-Based Authoring Tool Prototype for Interactive Storytelling.- Alice Dali MR: A Mixed Reality Interactive Narrative Experience.- Exploring the Union Between Procedural Narrative and Procedural Content Generation.- A Design-Oriented Framework for Interactive Digital Narrative in Virtual Reality - Focus on Branching Narrative and Agency.- What Is Waiting for Us at the End? Inherent Biases of Game Story Endings in Large Language Models.- Breaking Bad: Unraveling Influences and Risks of User Inputs to ChatGPT for Game Story Generation.- Playing Story Creation Games With Large Language Models: Experiments With GPT-3.5.- Traversing language, the author, and the word in Amira Hanafi’s A Dictionary of the Revolution.

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Book SynopsisThe two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023.The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: ​automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.Table of Contents​Industrial Speech and Language Technology.- Analysing Breathing Patterns in Reading and Spontaneous Speech.- Audio-Visual Speaker Verification via Joint Cross Attention.- A Novel Scheme to Classify Read and Spontaneous Speech.- Analysis of a Hinglish ASR System’s Performance for Fraud Detection.- Anomaly Detection in Speech: A Comprehensive Approach for Enhanced Speech Analysis.- CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds.- Speech Technology for Under-Resourced Languages.- Improvements in Language Modeling, Voice Activity Detection, and Lexicon in OpenASR21 Low Resource Languages.- Phone Durations Modeling for Livvi-Karelian ASR.- Significance of Indic Self-Supervised Speech Representations for Indic Under-Resourced ASR.- Study of Various End-to-End Keyword Spotting Systems on the Bengali language under Low-Resource Condition.- Bridging the Gap: Towards Linguistic Resource Development for the Low-Resource Lambani Language.- Studying the Effect of Frame-Level Concatenation of GFCC and TS-MFCC Features on Zero-Shot Children’s ASR.- Code-Mixed Text-to-Speech Synthesis under Low-Resource Constraints.- An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language.- An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language.- Cross Lingual Style Transfer using Multiscale Loss Function for Soliga: A Low Resource Tribal Language.- Preliminary Analysis of Lambani Vowels and Vowel Classification using Acoustic Feature.- Curriculum Learning based Approach for Faster Convergence of TTS Model.- Rhythm Measures and Language Endangerment: the Case of Deori.- Konkani Phonetic Transcription System 1.0.- Speech Analysis and Synthesis.- E-TTS: Expressive Text-to-Speech Synthesis for Hindi using Data Augmentation.- Direct vs Cascaded Speech-to-Speech Translation using Transformer.- Deep Learning based Speech Quality Assessment Focusing on Noise Effects.- Quantifying the Emotional Landscape of Music with Three Dimensions.- Analysis of Mandarin vs. English Language for Emotional Voice Conversion.- Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units.- A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection.- On the Asymptotic Behaviour of the Speech Signal.- Improvement of Audio-Visual Keyword Spotting System Accuracy using Excitation Source Feature.- Developing a Question Answering System on the material of Holocaust survivors’ testimonies in Russian.- Enhancing Children’s Short Utterance based ASV using Data Augmentation Techniques and Feature Concatenation Approach.- Studying the Effectiveness of Data Augmentation and Frequency-Domain Linear Prediction Coefficients in Children’s Speaker Verification under Low-Resource Conditions.- Constant-Q based Harmonic and Pitch Features for Normal vs Pathological Infant Cry Classification.- Robustness of Whisper Features for Infant Cry Classification.- Speaker and Language Identification, Verification, and Diarization.- I-MSV 2022: Indic-Multilingual and Multi-Sensor Speaker Verification Challenge.- Multi-Task Learning over Mixup Variants for the Speaker Verification Task.- Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.- Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.- Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios.- Enhancing Language Identification in Indian Context through Exploiting Learned Features with Wav2Vec2.0.- Design and Development of Voice OTP Authentication System.- End-to-End Native Language Identification using a Modified Vision Transformer(ViT) from L2 English Speech.- Dialect Identification in Ao using Modulation-based Representation.- Self-Supervised Speaker Verification Employing Augmentation Mix and Self-Augmented Training-based Clustering.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2023, held in Amsterdam, The Netherlands, during September 7–8, 2023.The 10 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: design and analysis of algorithms, models of computation and experimental analysis.Table of ContentsSegment Visibility for k-transmitters.- Conflict Resolution in Arbitrary Hypergraphs.- Dispatching the Minimum Number of UAVs in Neighborhood IoT Networks.- Mutual Visibility with ASYNC Luminous Robots having Inaccurate Movements.- Minimum Degree and Connectivity in 1-Dimensional Line of Sight Networks.- WUBBLE: Energy Efficient BLE Neighborhood Discovery Leveraging Wake-up Radio.- Byzantine Fault-Tolerant Protocols for $(n, f)$-evacuation from a Circle.- Temporal Reachability Dominating Sets: contagion in temporal graphs.- Fair Scheduling Under Packet Management: Competitive Analysis of Age of Information.- Run for Cover: Dominating Set via Mobile Agents.

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Book SynopsisThis book constitutes the refereed proceedings of the 4th Southern African Conference on Artificial Intelligence Research, SACAIR 2023, held in Muildersdrift, South Africa, in December 2023. The 22 full papers presented in these proceedings were carefully reviewed and selected from 66 submissions. The papers are organized in the following topical sections: Responsible and Ethical AI Track; Socio-Technical and Human-Centered AI Track; Algorithmic, and Data Driven and Symbolic AI.Table of ContentsResponsible and Ethical AI track.- Emerging AI Discourses and Policies in the EU: Implications for Evolving AI Governance.- Intergenerational Justice as Driver for Responsible AI.- AI Literacy: A Primary Good.- Exploring the ethical and societal concerns of Generative AI in Internet of Things (IoT) environments.- Warfare in the Age of AI: A Critical Evaluation of ArkinÕs Case for Ethical Autonomy in Unmanned Systems.- Socio-technical and human-centered AI track.- The decision criteria used by large organisations in South Africa for adopting Artificial Intelligence.- Let’s play games: Using no-code AI to reduce human cognitive load during AI solution development.- Algorithmic, Data Driven and Symbolic AI.- Unit-Based Genetic Algorithmic Approach for Optimal Multipurpose Batch Plant Scheduling.- Investigating the extent and usability of webtext available in South Africa’s official languages.- Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices.- Extending Defeasible Reasoning Beyond Rational Closure.- Sequence Based Deep Neural Networks for Channel Estimation in Vehicular Communication Systems.- Comparative Study of Image Resolution Techniques in the Detection of Cancer Using Neural Networks.- Investigating Frequent Pattern-based Models for Improving Community Policing in South Africa.- Financial Inclusion in Sub-Saharan Emerging Markets: The Application of Deep Learning to Improve Determinants.- Viability of Convolutional Variational Autoencoders for Lifelong Class Incremental Similarity Learning.- PuoBERTa: Training and evaluation of a curated language model for Setswana.- Hierarchical Text Classification using Language Models with Global Label-wise Attention Mechanisms.- Multimodal Misinformation Detection in a South African Social Media Environment.- Improving Semi-Supervised Learning in Generative Adversarial Networks.- Impacts of Architectural Enhancements on Sequential Recommendation Models.- A comparative study of over-sampling techniques as applied to seismic events.

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Book SynopsisThis book constitutes the proceedings of the 26th International Conference on Information Security, ISC 2023, which took place in Groningen, The Netherlands, in November 2023.The 29 full papers presented in this volume were carefully reviewed and selected from 90 submissions. The contributions were organized in topical sections as follows: privacy; intrusion detection and systems; machine learning; web security; mobile security and trusted execution; post-quantum cryptography; multiparty computation; symmetric cryptography; key management; functional and updatable encryption; and signatures, hashes, and cryptanalysis.Table of ContentsPrivacy: Exploring Privacy-Preserving Techniques on Synthetic Data as a Defense against Model Inversion Attacks.- Privacy-preserving Medical Data Generation using Adversarial Learning.- Balanced Privacy Budget Allocation for Privacy-Preserving Machine Learning.- Intrusion Detection and Systems: SIFAST: An Efficient Unix Shell Embedding Framework for Malicious Detection.- VNGuard: Intrusion Detection System for In-Vehicle Networks.- RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing.- Machine Learning: Loss and Likelihood Based Membership Inference of Diffusion Models.- Symmetry Defense Against CNN Adversarial Perturbation Attacks.- Web Security: Load-and-Act: Increasing Page Coverage of Web Applications.- From Manifest V2 to V3: A Study on the Discoverability of Chrome Extensions.- Mobile Security and Trusted Execution: Libra : Library Identification in Obfuscated Android Apps.- Certificate reuse in Android applications.- TC4SE: A High-performance Trusted Channel Mechanism for Secure Enclave-based Trusted Execution Environments.- Post-Quantum Cryptography: Performance Impact of PQC KEMs on TLS 1.3 under Varying Network Characteristics.- Protecting Private Keys of Dilithium using Hardware Transactional Memory.- Multiparty Computation: Mercury: Constant-Round Protocols for Multi-Party Computation with Rationals.- Evolving Conditional Disclosure of Secrets.- Symmetric Cryptography: Permutation-Based Deterministic Authenticated Encryption with Minimum Memory Size.- Impossible Differential Cryptanalysis of the FBC Block Cipher.- Fregata: Faster Homomorphic Evaluation of AES via TFHE.- Key Management: Efficient Forward Secrecy for TLS-PSK from Pure Symmetric Cryptography.- On the Privacy-preserving Infrastructure for Authenticated Key Exchange.- Hybrid Group Key Exchange with Application to Constrained Networks.- Functional and Updatable Encryption.- Dynamic Multi-Server Updatable Encryption.- Trace-and-Revoke Quadratic Functional Encryption.- Function-Hiding Zero Predicate Inner Product Functional Encryption from Pairings.- Signatures, Hashes, and Cryptanalysis: Robust Property-Preserving Hash Meets Homomorphism.- Withdrawable Signature: How to Call off a Signature.- An Improved BKW Algorithm for Solving LWE with Small Secrets.

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Book SynopsisThis book constitutes the refereed proceedings of the 14th International Conference on Decision and Game Theory for Security, GameSec 2023, held in Avignon, France, during October 18–20, 2023.The 19 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Mechanism design and imperfect information, Security Games, Learning in security games, Cyber deception, Economics of security, Information and privacy and Short articles.Table of ContentsMechanism design and imperfect information.- Observable Perfect Equilibrium.- Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost.- Rule Enforcing Through Ordering.- Security Games.- Multi-defender Security Games with Schedules.- Asymmetric Centrality Game against Network Epidemic Propagation.- Shades of Grey: Strategic Bimatrix Stopping Games for Modelling (Un)Ethical Hacking Roles.- Learning in security games.- Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks.- Quantisation Effects in Adversarial Cyber-Physical GamesTakuma Adams.- Scalable Learning of Intrusion Responses through Recursive Decomposition.- Cyber deception.- Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approach.- Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs.- The Credential is Not Enough: Combining Honeypots and Fake Credentials for Cyber-Defense.- Economics of security.- Does Cyber-insurance Benefit the Insured or the Attacker? -- A Game of Cyber-Insurance.- Rational Broadcast Protocols against Timid Adversaries.- FlipPath Game to Counter Stealthy Attacks in SDN-based Tactical Networks.- Information and privacy.- Double-sided Information Asymmetry in Double Extortion Ransomware.- Opacity-enforcing active perception and control against eavesdropping attacks.- A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd.- Modeling and Analysis of a Nonlinear Security Game with Mixed Armament.- Short articles.- Incentive-Based Software Security: Fair Micro-Payments for Writing Secure Code.- Using Game Theory Approach for COVID-19 Risk Analysis and Medical Resource Allocation.- Shapley Value to Rank Vulnerabilities on Attack Graphs: Applications to Cyberdeception.- Solving security models with perfect observability.

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Book SynopsisThis book constitutes the refereed proceedings of the 7th International Conference on Cognitive Computing, ICCC 2023, held in Shenzhen, China, during December 17–18, 2023.The 9 full papers in this book were carefully reviewed and selected from 14 submissions. They are organized in topical sections as follows: Cognitive Computing Technologies and Infrastructure, Cognitive Computing Applications, Sensing Intelligence, Cognitive Analysis, Mobile Services, Cognitive Computing on Smart Home, and Cognitive Computing on Smart City.Table of Contents​Research Track.- High-Precision Detection of Suicidal Ideation on Social Media Using Bi-LSTM and BERT Models.- P-Reader: A Clue-inspired Model for Machine Reading Comprehension.- An Unsupervised Method for Sarcasm Detection with Prompts.- ENER: Named Entity Recognition Model for Ethnic Ancient Books Based on Entity Boundary Detection.- An Enhanced Opposition-Based Golden-Sine Whale Optimization Algorithm.- T4S: Two-stage Screenplay Synopsis Summary Generation with Turning Points.- Application Track.- Multi-factor Water Level Prediction Based on InnRNN-Attention.- Ethereum Public Opinion Analysis Based on Attention Mechanism.- Prompt Tuning Models on Sentiment-Aware for Explainable Recommendation.

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Book SynopsisThis book covers selected papers presented at the 2nd International Conference on Computing, IoT and Data Analytics (ICCIDA) in 2022 organized by Universidad de Castilla - La Mancha, Spain, August 11-12, 2023.

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Book Synopsis.- Intelligent Computing. .- Neural Network Approach for Early detection of Sugarcane Diseases..- Enhanced Residual Network Framework for Robust Classification of Noisy Lung Cancer CT Images..- Single-Cell Drug Perturbation Prediction Using Machine Learning..- Underwater Image Enhancement using Convolutional Neural Network and the MultiUnet Model..- A hybrid time series model for the spatio-temporal analysis of air pollution prediction based on PM2.5..- Detection of Lung Diseases Using Deep Transfer Learning-Based Convolution Neural Networks..- DG-GAN: A Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos..- Auto-LVEF: A novel method to determine Ejection Fraction from 2D echocardiograms..- Phishing Detection in Browser-In-The-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms..- Feature Engineering for Predicting Consumer Purchase Behavior: A Comprehensive Analysis..-

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Book SynopsisTheory and algorithms.- multidisciplinary, domain-specific and applied parallel and distributed computing.

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Book SynopsisIntroduction to Continual and Reinforcement Learning for Edge AI.- Algorithmic and Theoretical Foundations.- Federated Continual Learning.- On-device Continual Learning.- Online Meta-Learning.- Warm-start Reinforcement Learning.- Continual Reinforcement Learning.- Continual and Reinforcement Learning for Edge AI with Pre-trained Large Language Models.

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Book Synopsis.- Smart Technologies..- Industrial Anomaly Detection: Bridging OPC-UA with Classical and Deep Learning Methods..- Developing a LoRaWAN-based Data Acquisition Device Empowered by AI..- Developing an IoT System with LoRa and a Web Platform for Enhanced Early Detection of Forest Fires..- An Unified Multi-Platform IoT Architecture Leveraging gRPC for Seamless Integration of LoRaWAN, MQTT, and HTTP Protocols..- Security Vulnerability Testing Architecture in IoT Based on a Honeypot..- Comparison of Machine Learning and Dimensionality Reduction Algorithms in the Classification of Myoelectric Hand Gestures for Prosthetic Control..- Enhancing Rehabilitation with EMG-Driven Hand Gesture Recognition Using SVM, KNN, and MLP..- A Prototype for Sedentary Posture Monitoring Using a Chair and Headband Sensor System..- Diagnosis of Heart Failure: Integrating Echocardiographic and Clinical Data through Neural Networks..- A Low Power Non-Invasive Wrist-Based Approach for Glucose Monitoring..- Medical Waste Data Analysis in Ecuador using Sparse HJ-Biplot and Clustering Techniques..- Development of a Signal Acquisition and Processing System to Determine the Operating Characteristic Curve of Domestic Refrigerators Axial Fans..- Exams as a Service: Synergies between ChatGPT, and Cloud Computing for Education..- Leveraging Web Scraping to Identify Opportunities for Young Talent to UK Digital Manufacturing..- Evaluating Word Embedding Models in Ecuadorian Legal Texts: A Comparison of CBOW and Skip-gram for Semantic Analysis..- Stimulation of spatial reasoning in children aged 6 to 7 using assistive technology, computer vision, and elements of Inca and Ca˜nari cultures..- Creating a Botnet in a Virtual Environment: A Study Based on the Mirai Code..- Attention based Tri-decoder Framework for Segmentation and Classification of Nuclei in Bladder Histology..- Enhanced Breast Cancer Detection Using Filter-Augmented DenseNet169: Outper-forming Traditional CNN Models with Few-er Epochs..- Windowing Based Data Augmentation Techniques to Enhance the Synthesis of Contrast Response in Contrast-Enhanced Spectral Mammography Images..- Smart Systems..- Detection of DDoS Attacks in Computer Networks Using Deep Learning..- Exploring New Horizons on the Interpretation of PCA using LLM for Data Analysis..- ChatBanker: A chatbot for efficient management of bank documents..- Application of Machine Learning Algorithms to Detect Fake News in the Peruvian Context..- Use of an annotation method for Spanish-language tweets concerning corruption in Peru..- Detecting Fake News and Fact-Checking in Tweets Using Spanish Language Models: A Case Study with Ecuador Chequea and Ecuador Verifica..- Detection of Automatically Generated Texts: A Classification-Based Approach and Text Features..- Polyglot Persistence in Heterogeneous NoSQL Database Systems with Python..- An intelligent mobile navigation system for visually impaired people using computer vision and deep learning for multi-label classification in park environments..- Drone Detection and Antidrone System Using YOLO: An Effective Approach to Airspace..- Enhancing Cellular Line Representation with Transformer-Based Text Embeddings for Precision Drug Repositioning..- Enhanced AlexNet CNN for Accurate Detection of Parkinson’s Disease Using MRI Data.

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Book SynopsisResearch Track.- Theoretical Reconstruction of New Quality Productive Forces and the Shenzhen Paradigm of Intelligent Socialism..- Artificial Bee Colony Algorithm Based on Nonlinear Dual Search Strategy..- Hybrid BERT-BiLSTM Model for SQL Injection Detection: Potential Applications in Banking Information Systems..- AC-Net: An Adaptive Step-Size Low-Light Image Enhancement Method Based on Global Illumination Modeling..- Semi-Supervised Scene Text Detection based on Teacher-Student Scheme and Cascaded Hybrid Network..- Towards Fast-Slow Thinking in Conversational Emotion Recognition via Causal Prompting with Peak-End Rule..- 3D Path Planning for UAVs in Complex Environments Using an Improved Hybrid Genetic-PSO Algorithm.Application and Industry Track.- Research on Algorithms Based on Autoregressive Fusion Models..- A Microservice-Based Implementation of Chinese Conversational Digital Avatars Using NVIDIA ACE.

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Book Synopsis.- Software Engineering and Data Science..- Drone Simulation in Precision Agriculture Using Unity..- Leveraging Generative AI for Proactive Security and Automated Remediation in Cloud-Native CI/CD Pipelines..- Optimizing Healthcare Pipelines for patient Benefit: A Data Engineering Perspectives on Preau-thorization Delays and Denials..- Pairwise Clustering on Numerical Datasets by Translation..- A Customizable Ad-hoc Java Client that Works with Bare Webservers..- DuckDB-Powered Geo-Spatial Analytics for hit-and-run Incidents: A Case Study on Montgom-ery County, Maryland, Open Data..- Analysis of Programming Capability of LLMs in the Context of Computer Science..- Predicting Early Breast Cancer Recurrence with Machine Learning..- Structural and Connectivity Patterns in the Maven Central Software Dependency Network..- Cloud-Native Generative AI for Automated Planogram Synthesis: A Diffusion Model Approach for Multi-Store Retail Optimization..- Applications Of Positive Unlabeled Learning in the field of DDoS attacks..- Robust Intrusion Detection in IoV Using PU Learning and Supervised Ensembles with Synthetic Data Augmentation on CICIoV2024..- The Potential of Large Language Models in Automating Software Testing: From Generation to Reporting..- Design and Evaluation of a Scalable Data Pipeline for AI-Driven Air Quality Monitoring in Low-Resource Settings..- Hybrid Taint Analysis for React: Automated XSS Prevention..- Artificial Intelligence..- Edge-Based Learning for Improved Classification Under Adversarial Noise..- Prompt-Driven Test Generation: Leveraging Large Language Models and Knowledge Graphs for Quality Assurance in Data-Intensive Software System..- Adversarial Machine Learning for Robust Password Strength Estimation..- Mitigating Hallucination Risks in GenAI Compliance Advisory Systems for the Financial Industry..- Prosense - Defending Text Generation with Adversarial Feedbac..- Machine Learning-Based AES Key Recovery via Side-Channel Analysis on the ASCAD Dataset..- Hand Line Classification..- Beyond Accuracy: Evaluating LLMs for validating community service provider directory..- Trustworthy Design Patterns for Multi-Agent Software Systems..- Designing Interpretable AI Models: Lightweight Parallelism for Real-Time Malware Detection & Prevention..- Interpretable AI with Lightweight Parallelism for Real-Time Auto Insurance Claims Triage.

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Book SynopsisDieses Lehrbuch beschäftigt sich in mathematisch präziser Weise mit einem ganz und gar praktischen Thema, nämlich dem Entwurf digitaler Hardware. Neben einer Diskussion der mathematischen Grundbegriffe werden die notwendigen theoretischen Grundlagen behandelt. Schließlich wird dann das vollständige Design eines einfachen Rechners entwickelt.Table of Contents1 Mathematische Grundlagen.- 1.1 Über Gott und die Welt.- 1.2 Elementare Konzepte.- 1.2.1 Natürliche Zahlen.- 1.2.2 Induktion.- 1.2.3 Variablen und der naive Mengenbegriff.- 1.2.4 Funktionen und Relationen.- 1.2.5 Zeichenreihen.- 1.2.6 Zeichensätze.- 1.3 Rechnen.- 1.3.1 Vollständig geklammerte Ausdrücke.- 1.3.2 Auswertung von Ausdrücken.- 1.3.3 Identitäten.- 1.3.4 Unvollständig geklammerte Ausdrücke.- 1.4 Zahlen.- 1.4.1 Ganze Zahlen, rationale Zahlen, reelle Zahlen.- 1.4.2 Zahlendarstellungen.- 1.4.3 Abzählbarkeit.- 1.5 Formale Logik.- 1.5.1 Prädikate.- 1.5.2 Formale Fassung des Mengenkonzepts.- 1.5.3 Beweissysteme.- 1.6 Übungen.- 2 Boole’sche Ausdrücke.- 2.1 Mächtigkeit endlicher Mengen.- 2.2 Rechnen mit Boole’schen Ausdrücken.- 2.2.1 Vollständig geklammerte Ausdrücke.- 2.2.2 Einsetzungen.- 2.2.3 Identitäten und Ungleichungen.- 2.2.4 Lösen von Gleichungen.- 2.2.5 Der Darstellungssatz.- 2.3 Kosten von Ausdrücken.- 2.3.1 Definitionen.- 2.3.2 *Allgemeine Schranken.- 2.4 Polynome und Resolution.- 2.4.1 Polynome und Primimplikanten.- 2.4.2 Das Verfahren von Quine-McCluskey.- 2.4.3 Monome und n-Würfel.- 2.4.4 Bestimmung von Minimalpolynomen.- 2.4.5 *Nullstellen und Erfüllbarkeit.- 2.4.6 *Erfüllbarkeit von konjunktiven Normalformen.- 2.4.7 *Resolutionsbeweise.- 2.5 Übungen.- 3 Schaltkreise.- 3.1 Gerichtete Graphen und Schaltkreise.- 3.1.1 Gerichtete Graphen.- 3.1.2 Gatter.- 3.1.3 Schaltkreise.- 3.2 Rechnen mit Schaltkreisen.- 3.2.1 Einsetzungen.- 3.2.2 Identitäten und berechnete Funktionen.- 3.2.3 Anfangsschaltkreise.- 3.3 Darstellungssatz.- 3.4 Schaltkreiskomplexität.- 3.4.1 Komplexitätsmaße.- 3.4.2 Assoziativität und balancierte Bäume.- 3.5 *Schaltkreise und Boole’sche Ausdrücke.- 3.5.1 Subfunktionen.- 3.5.2 Das Kriterium von Neciporuk.- 3.5.3 Selektoren.- 3.5.4 Funktionen mit vielen Subfunktionen.- 3.6 Übungen.- 4 Arithmetik.- 4.1 Zahlendarstellungen.- 4.1.1 Stellenwertsysteme.- 4.1.2 Binärzahlen.- 4.1.3 2’s-Complement-Darstellung.- 4.2 Addierer.- 4.2.1 Halb- und Volladdierer.- 4.2.2 Carry-Chain Addierer.- 4.2.3 Incrementer.- 4.2.4 Conditional-Sum Addierer.- 4.2.5 Carry-Lookahead Addierer.- 4.3 Subtraktion.- 4.3.1 Addition von 2’s-Complement-Zahlen.- 4.3.2 Addierer und Subtrahierer.- 4.4 *Multiplizierer.- 4.4.1 Multiplikation nach der Schulmethode.- 4.4.2 Wallace-Tree Multiplizierer.- 4.4.3 Multiplikation nach Karatsuba und Ofman.- 4.5 Aufbau von Arithmetikeinheiten.- 4.5.1 Bit Slice Designs.- 4.6 Übungen.- 5 Speicher und Tristate-Bausteine.- 5.1 Physikalische Eigenschaften von Gattern.- 5.1.1 Logische und physikalische Signale.- 5.1.2 Fanout.- 5.1.3 Verzögerungszeiten.- 5.1.4 *Transferfunktionen.- 5.1.5 Kapazitive Last.- 5.1.6 Worst Case Timing-Analyse.- 5.1.7 Spikefreies Umschalten von Gattern.- 5.2 Flipflops.- 5.2.1 R/S-Flipflop.- 5.2.2 D-Lateh.- 5.2.3 D-Flipflop.- 5.3 Bausteine mit Flipflops.- 5.3.1 Register.- 5.3.2 Zähler.- 5.4 Statischer Speicher.- 5.4.1 Mehrfaches OR.- 5.4.2 Treiberbäume.- 5.4.3 Dekodierer.- 5.4.4 Aufbau eines statischen Speichers.- 5.5 Tristate-Treiber, Busse und Pipelines.- 5.5.1 Speicher und Bus Contention.- 5.5.2 Wired OR.- 5.6 Übungen.- 6 Ein einfacher Rechner.- 6.1 Die abstrakte RESA-Maschine.- 6.1.1 Load und Store.- 6.1.2 Compute Befehle.- 6.1.3 Immediate Befehle.- 6.1.4 Indexregister.- 6.1.5 Sprungbefehle.- 6.2 Instruktionssatz.- 6.2.1 Instruktionsformate.- 6.2.2 Load Befehle.- 6.2.3 Store Befehle.- 6.2.4 Compute Befehle.- 6.2.5 Sprungbefehle.- 6.2.6 Erzeugung großer Konstanten und Shifts.- 6.2.7 Selbstmodifikation und von Neumann-Architektur.- 6.2.8 Sign Extension.- 6.3 Datenpfade.- 6.4 Idealisierte Timing-Diagramme.- 6.5 PLAs, PROMs und PALs.- 6.5.1 PLAs.- 6.5.2 PROMs und EPROMs.- 6.5.3 PALs.- 6.5.4 PALASM.- 6.6 Kontrollogik.- 6.6.1 Clock— und Phasensignale.- 6.6.2 Clocksignale.- 6.6.3 Output enable Signale.- 6.6.4 Kontrolle der ALU und Sign-Extension.- 6.6.5 Laden des Befehlszählers.- 6.6.6 Asynchrone Signale und Reset.- 6.6.7 Ansteuerung des Speichers.- 6.7 Exakte Timing-Analyse.- 6.7.1 Kontrollogik.- 6.7.2 Vermeidung von Bus contention.- 6.7.3 Inkrementieren des Befehlszählers.- 6.7.4 Compute Befehle.- 6.7.5 LOADIN1 und STOREIN1.- 6.7.6 Jump.- 6.7.7 Zykluszeit und Befehlsrate.- 6.7.8 ALUs mit Carry Lookahead und Conditional Sum.- 6.7.9 Kontrollsignale mit 3.5 Zyklen Dauer.- 6.7.10 Verkürzung des Fetch-Zyklus.- 6.7.11 Einschalten des Stroms.- 6.8 Ein— und Ausgabe.- 6.8.1 I/O-Ports und Interfaces.- 6.8.2 UART.- 6.8.3 EPROM.- 6.8.4 Datenpfade und Memory Map.- 6.8.5 Busprotokoll und Wait-Zyklen.- 6.8.6 Zustandsdiagramme.- 6.8.7 Kontrolle des Speichers.- 6.9 Übungen.- A Verwendete Bauteile.- A.1 Gatter.- A.2 Multiplexer.- A.3 Register.- A.4 Zähler.- A.5 Treiber.- A.6 ALU Bausteine.- A.7 PALs.- A.8 Speicherbausteine.- A.9 Ein— und Ausgabe.- B PAL-Gleichungen.- B.1 CPU-Kontrolle.- B.2 SRAM-Kontrolle.- B.3 EPROM-Kontrolle.- B.4 UART-Kontrolle.

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Book SynopsisTable of Contents1: Einleitung.- 1.1 Zielsetzung und Strategie.- 1.2 Inhaltlicher Aufbau.- 2: Computersysteme im Überblick.- 2.1 Grundlagen.- 2.2 Einordnung und Spezifikation.- 2.3 Übungen.- 3: Bestandteile des Computersystems.- 3.1 Grundlagen.- 3.2 Hardware-Einheiten.- 3.2.1 Konfiguration der Basiseinheit.- 3.2.2 Anschluß der peripheren Einheiten.- 3.3 Software-Architektur.- 3.3.1 User Interface Toolbox.- 3.3.2 Betriebssystem.- 3.4 Übungen.- 4: Systemkern - Die Hauptplatine.- 4.1 Grundlagen.- 4.2 Organisationsstruktur der Hauptplatine.- 4.3 Prozessor/Coprozessor.- 4.3.1 68 020 – Prozessor.- Architektur.- Mikrocode.- Befehlsabarbeitung.- Leistungsmerkmale.- Registersatz.- Programmierung.- Signalleitungen.- Busstruktur und Buszyklen.- Coprozessor-Schnittstelle.- 4.3.2 68 881 - Floating Point Coprozessor.- 4.4 Speicherorganisation.- 4.4.1 Speicherverwaltung.- AMU - Address Mapping Unit.- PMMU - Paged Memory Management Unit.- 4.4.2 Hauptspeicher.- RAM-Bereich.- ROM-Bereich.- 4.5 Schnittstellen-Bausteine.- 4.5.1 VIA - Versatile Interface Adapter.- 4.5.2 SCC - Serial Communication Controller.- 4.5.3 SCSI - Small Computer System Interface.- 4.6 Spezial-Bausteine.- 4.6.1 ASIC-Entwurf.- 4.6.2 Beispiele.- ASC - Apple Sound Chip.- IWM - Integrated Woz Machine.- GLUE - General Logic Unit.- 4.7 Bussysteme.- 4.7.1 ADB - Apple Desktop Bus.- 4.7.2 SCSI –Bus.- 4.8 NuBus-Systemerweiterung.- 4.8.1 Standard-NuBus.- 4.8.2 Apple-NuBus.- 4.8.3 Erweiterungskarten.- 4.9 Übungen.- 5: Peripherieeinheiten des Systems.- 5.1 Grundlagen.- 5.2 Eingabeperipherie.- 5.2.1 Tastatur.- 5.2.2 Maus.- 5.3 Ausgabeperipherie.- 5.3.1 Videosystem.- Grafikkarte.- Monitor.- 5.3.2 Drucker.- Nadeldrucker.- Laserdrucker.- 5.4 Speicherperipherie.- 5.4.1 Magnetisctie Speichermedien.- Diskettenlaufwerke.- Festplatten.- 5.4.2 Optische Speichermedien.- 5.5 Kommunikationsperipherie.- 5.5.1 AppleTalk – Netzwerk.- 5.5.2 MS-DOS – Verbindung.- 5.5.3 Ethernet – Anschluß.- 5.6 Übungen.- 6: Neuentwiciclungen.- 6.1 Prozessoren.- MC 68.- MC 68.- 6.2 Computersysteme.- A: Entwicklungsgeschichte des Macintosh.- B: Lösungen ausgewählter Übungsaufgaben.- C: Literaturverzeichnis.- D: Verzeichnis der Grafiken, Bilder und Tabellen.- E: Verzeichnis der Abkürzungen und Akronyme.- F: Sachwortverzeichnis.

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Book SynopsisField-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing. The efficient implementation of front-end digital signal processing algorithms is the main goal of this book. It starts with an overview of today's FPGA technology, devices and tools for designing state-of-the-art DSP systems. A case study in the first chapter is the basis for more than 40 design examples throughout. The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, advanced algorithms with high future potential, and adaptive filters. Each chapter contains exercises. The VERILOG source code and a glossary are given in the appendices. This new edition incorporates Over 10 new system level case studies designed in VHDL and Verilog A new chapter on image and video processing An Altera Quartus update and new Model Sim simulations Xilinx Atlys board and ISIM simulation support Signed fixed point and floating point IEEE library examples An overview on parallel all-pass IIR filter design ICA and PCA system level designs Speech and audio coding for MP3 and ADPCM Table of ContentsComputer Arithmetic.- Finite Impulse Response (FIR) Digital Filtres.- Infinite Impulse Response (IIR) Digital Filtres.- Multirate Signal Processing.- Fourier Transforms.- Advanced Topics.- Adaptive Filtres.- Microprocessor Design.

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Book SynopsisSebastian Herden präsentiert das Konzept des Model-Driven-Configuration-Managements (MDCM) zur Schließung der identifizierten semantischen Lücke zwischen Unternehmensarchitektur und IT-Konfiguration. Die grundlegende Idee des vorgestellten MDCM-Konzepts zur nahtlosen Integration von Enterprise-Architecture-Management und IT-Konfigurationsmanagement im IT-Betrieb ist es, einen Model-Driven-Engineering-Ansatz zu entwickeln. Das Ziel des MDCM ist neben der Ausrichtung der resultierenden IT-Konfiguration an den Geschäftsprozessen eines Unternehmens und der nachvollziehbaren und transparenten Gestaltung die Unabhängigkeit der Qualität von individuellem Wissen.Table of ContentsModel Driven Engineering.- Konfigurationsmanagement.- Enterprise Architecture Management.- IT–Systemlandschaft.- Modelltransformationen.

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Book SynopsisDas Buch betrachtet das Thema BYOD (Bring your own Device) ganzheitlich – ausgehend von einer Mobile-Strategie im Unternehmen werden alle relevanten Aspekte wie rechtliche Rahmenbedingungen, Sicherheitsrisiken und deren Behandlung, technische Voraussetzungen (Software, IT-Infrastruktur, Support), Einführungs- und Betriebskosten, Erreichbarkeit und Collaboration sowie soziale Aspekte, Unternehmenspolitik und die Implementierung von BYOD beleuchtet. Damit wird dem zunehmenden Trend zur Nutzung von privaten, mobilen Endgeräten im beruflichen Umfeld Rechnung getragen.Praxisnah befassen sich die Autoren mit Problemen und Fragestellungen rund um die Integration von privaten Endgeräten in die IT-Infrastruktur des Arbeitgebers und liefern konkrete Herangehensweisen, Empfehlungen und Best-Practices für die Planung, Prüfung und Umsetzung einer BYOD -Strategie.Das Buch hilft allen, die eine Einführung von BYOD in ihrem Betrieb prüfen, zu einem umfassenden Verständnis von Chancen und möglichen Risiken, aber auch von Alternativen zu gelangen.Table of ContentsBring Your Own Device – Rechtliche Aspekte – IT-Aspekte – Finanzielle Aspekte – Soziale Aspekte – Unternehmenspolitische Aspekte – Implementierung – Alternativen – Zusammenfassung mit Entscheidungsbaum und Checklisten – Ausblick

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Book SynopsisDas Buch enthält ein Rechtsgutachten, das im Auftrag der unabhängigen Datenschutzbehörden der Länder verfasst wurde. Es erläutert die durch die EU-Datenschutz-Grundverordnung veränderten Aufgaben und Befugnisse der Aufsichtsbehörden und ihre neue Verantwortung für den Grundrechtsschutz in der digitalen Welt. Um den Datenschutz in der Europäischen Union besser durchzusetzen und seine Anwendung zu harmonisieren, enthält die Datenschutz-Grundverordnung zahlreiche neue Instrumente, Institutionen und Verfahren. Diese beeinflussen die Aufgaben und Befugnisse der Aufsichtsbehörden, den Handlungsrahmen der Verantwortlichen und die Zusammenarbeit zwischen den Akteuren.Table of Contents

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