Applied computing Books

Book SynopsisThis book constitutes the proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4–7, 2023. The 11 full papers presented in this book together with 3 keynotes and tutorials were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: keynote talk and tutorials; query processing and data exploration, data science and fairness and Data and Metadata QualityTable of ContentsKeynote Talk and Tutorials.- Knowledge Engineering in the Era of Artificial Intelligence.- Causality, Attribution-Scores and Repairs in Databases.- When operations research meets databases.- Query Processing and Data Exploration.- Using a Key-Value Index-Store for Cross-Model Join Queries Over Heterogeneous Data Sources.- Reconstructing Spatiotemporal Data with C-VAEs.- What Happens when Two Multi-Query Optimization Paradigms Combine.- Skyline-Based Temporal Graph Exploration.- Temporal Graph Processing in Modern Memory Hierarchies.- Data Science and Fairness.- Comparing and Improving Active Learning Uncertainty Measures for Transformer Models.- FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness.- Exploring Heterogeneous Data Graphs Through their Entity Paths.- Managing Linked Nulls in Property Graphs: Tools to Ensure Consistency and Reduce Redundancy.- Assessment of Data Quality in a Data Lakehouse Through Multi-Granularity Data Profiling.- Data Ingestion Validation through Stable Conditional Metrics with Ranking and Filtering.- An Ontology for Representing and Querying Semantic Trajectories in the Maritime Domain.- Extracting Provenance of Machine Learning Experiment Pipeline Artifacts.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 28th International Workshop on Security Protocols, held in Cambridge, UK, during March 27–28, 2023. Thirteen papers out of 23 submissions were selected for publication in this book, presented together with the respective transcripts of discussions. The theme of this year's workshop was “Humans in security protocols — are we learning from mistakes?” The topics covered are securing the human endpoint and proving humans correct.Table of ContentsSleepwalking into Disaster? Requirements Engineering for Digital Cash.- Transporting a Secret Using Destructively-Read Memory.- Authentication of IT Professionals in the Wild - A Survey.- Incentives and Censorship Resistance for Mixnets Revisited.- Can’t Keep them Away: The Failures of Anti-Stalking Protocols in Personal Item Tracking Devices.- Who is Benefiting from Your Fitness Data? A Privacy Analysis of Smartwatches.- Trusted Introductions for Secure Messaging.- Choosing Your Friends: Shaping Ethical Use of Anonymity Networks.- One Protocol to Rule them All? On Securing Interoperable Messaging.- If it’s Provably Secure, it Probably isn’t: Why Learning from Proof Failure is Hard.- Towards Human-Centric Endpoint Security.- Determining an Economic Value of High Assurance for Commodity Software Security.- Blind Auditing and Probabilistic Access Controls.

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Book SynopsisThis book constitutes the refereed proceedings of the 27th International Conference on Linking Theory and Practice of Digital Libraries, TPDL 2023, held in Zadar, Croatia, during September 26–29, 2023.The 13 full papers and 17 short papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Applications and digital library systems; data citation and citation analysis; discovering science, monitoring and publishing science; knowledge creation; Human-Computer Interaction; digital humanities; and digital cultural heritage. Table of ContentsApplications and Digital Library Systems.- Human-in-the-loop Latent Space Learning for Bibrecord-based Literature Management.- Holistic Graph-based Document Representation and Management for Open Science.- A Multilingual Dashboard To Analyse Intercultural Knowledge Circulation.- Applications and Digital Library Systems.- Known by the Company it Keeps: Proximity-Based Indexing for Physical Content in Archival Repositories.- Aspect-Driven Structuring of Historical Dutch Newspaper Archives.- PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases.- Data Citation and Citation Analysis.- How to Cite a Web Ranking and Make it FAIR.- Tracing Data Footprints: Formal and Informal Data Citations in the Scientific Literature.- Non-citable but not uncited: a large-scale citation analysis of editorials.- BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops.- Investigating the Relation between Authors’ Academic Age and their Citations.- Discovering science.- On Retraction Cascade? Citation Intention Analysis as a Quality Control Mechanism in Digital Libraries.- Using Semi-Automatic Annotation Platform to create Corpus for Argumentative Zoning.- CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering.- A Robust Approach for Hybrid Personalized Recommender Systems.- Readability Measures as Predictors of Understandability and Engagement in Searching to Learn.- Classification of Visualization Types and Perspectives in Patents.- Monitoring and Publishing science.- It’s Not Just GitHub: Identifying Data and Software Sources Included in Publications.- A Graph Neural Network Approach for Evaluating Correctness of Groups of Duplicates.- Synthesizing Web Archive Collections Into Big Data: Lessons From Mining Data From Web Archives.- A Comparison of Automated Journal Recommender Systems.- Making PDFs Accessible for Visually Impaired Users (and Findable for Everybody Else).- Knowledge creation.- Multi-view Graph-based Text Representations for Imbalanced Classification.- Large Synthetic Data from the arχiv for OCR Post Correction of Historic Scientific Articles.- Human-Computer Interaction.- From textual to visual image searching: User experience of advanced image search tool.- Ranking for Learning: Studying Users’ Perceptions of Relevance, Understandability, and Engagement.- Digital Humanities.- Image Modification Modeled as a Storytelling Process.- From ISAD(G) to Linked Data Archival Descriptions.- Detection of Redacted Text in Legal Documents.- The First Tile for the Digital Onomastic Repertoire of the French Medieval Romance: Problems and Perspectives.- Digital Cultural Heritage.- Digital Cultural Heritage.- Persistent identifier usage by cultural heritage institutions: a study on the Europeana.eu dataset.- Real Experienced Needs for Accessible and Inclusive Cultural Heritage – First Results in MuseIT.

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Book SynopsisThis book constitutes the referred proceedings of the 11th International Workshop on Practical Applications of Stochastic Modelling, PASM 2022, was held in Alicante, Spain, in September 2022.The 7 full papers presented in this volume were carefully reviewed and selected from 9 submissions. The papers demonstrate a diverse set of applications and approaches of stochastic modelling.Table of ContentsPerformance modelling of attack graphs.- Towards Calculating the Resilience of a Urban Transport Network under Attack.- Analysis of the Battery Level in Complex Wireless Sensor Networks using a Two Time Scales Second Order Fluid Model.- To Confine or not to Confine: A Mean Field Game Analysis of the End of an Epidemic.- Data Center Organization and Optimization Strategy as a k-ary n-cube Topology.- Towards energy-aware management of shared printers.- Modelling Performance and Fairness of Frame Bursting in IEEE 802.11n using PEPA.

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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, 9 short papers and 9 abstract 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 Shallow Information Enhanced Efficient Small Object Detector based on YOLOv5.- Adaptive Dehazing YOLO for Object Detection.- Adaptive Training Strategies for Small Object Detection using Anchor-based Detectors.- Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection.- Dual Attention Feature Fusion for Visible-Infrared Object Detection.- Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning.- Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting.- GaitFusion: Exploring the fusion of silhouettes and optical flow for gait recognition.- Gradient Adjusted and Weight Rectified Mean Teacher for Source-free Object Detection.- IMAM: Incorporating multiple attention mechanisms for 3D Object Detection from Point Cloud.- LGF2: Local and Global Feature Fusion for Text-guided Object Detection.- MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection.- Object Detection in Foggy Images with Transmission Map Guidance.- PE-YOLO: Pyramid Enhancement Network for Dark Object Detection.- Region Feature Disentanglement for Domain Adaptive Object Detection.- ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion.- SDGC-YOLOv5: A more accurate model for small object detection.- The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals.- Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function.- Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer.- X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images.- Aggregate Distillation For Top-K Recommender System.- Candidate-Aware Dynamic Representation for News Recommendation.- Category Enhanced Dual View Contrastive Learning for Session-based Recommendation.- Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition.- Incremental Recommendation Algorithm based on the Influence Propagation Model.- Scenic Spot Recommendation Method Integrating Knowledge Graph And Distance Cost.- A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection.- Adaptive Token Excitation With Negative Selection For Video-Text Retrieval.- Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization.- Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition.- Correction while Recognition: Combining Pretrained Language Model for Taiwan-accented Speech Recognition.- Cross-Camera Prototype Learning for Intra-Camera Supervised Person Re-Identification.- ECDet: A Real-time Vehicle Detection Network for CPU-only Devices.- Gated Multi-Modal Fusion with Cross-Modal Contrastive Learning for Video Question Answering.- Learning Video Localization on Segment-Level Video Copy Detection with Transformer.- Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation.- MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate.- OWS-Seg: online weakly supervised video instance segmentation via contrastive learning.- Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition.- Self-Supervised Video Object Segmentation Using Motion Feature Compensation.- Space-Time Video Super-Resolution Based on Long-Term Time Dependence.

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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, 9 short papers and 9 abstract 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 Contents2RDA: Representation and Relation Distillation with Data Augmentation.- A Document-Level Relation Extraction Framework with Dynamic Pruning.- A Global Feature Fusion Network for Lettuce Growth Trait Detection.- Adaptive Embedding and Distribution Re-Margin for Long-tail Recognition.- Adaptive Propagation Network Based on Multi-Scale Information Fusion.- An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification.- An Explainable Feature Selection Approach for Fair Machine Learning.- Anchor link prediction based on trusted anchor re-identification.- Application of Data Encryption in Chinese Named Entity Recognition.- Attractor dynamics drive flexible timing in birdsong.- Boost Predominant Instrument Recognition Performance with MagiaSearch and MagiaClassifier.- Can Machine Learning Support Improvement in Effective Nutrition of patients in Critical Care Units?.- Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation.- Delineation of prostate boundary from medical images via a mathematical formula-based hybrid algorithm.- Diversifying non-dissipative Reservoir Computing dynamics.- Efficient Reinforcement Learning using State-Action Uncertainty with Multiple Heads.- Exploring the role of feedback inhibition for the robustness against corruptions on event-based data.- Extracting feature space for synchronizing behavior in an interaction scene using unannotated data.- F-E Fusion:A Fast Detection Method of Moving UAV Based on Frame and Event Flow.- Few-shot Relational Triple Extraction based on Evaluation of Token-Level Semantic Similarity.- GII: a Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery.- Glancing text and vision regularized training to enhance machine translation.- Global-Temporal Enhancement for Sign Language Recognition.- Global-to-contextual Shared Semantic Learning for Fine-grained Vision-language Alignment.- Gradient-based Learning of Finite Automata.- Hierarchical Contrastive Learning for CSI-based Fingerprint Localization.- Higher Education Programming Competencies: A Novel Dataset.- Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement.- I^2KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding.- Imbalanced Few-shot Learning based on Meta-transfer Learning.- Impact Analysis of Climate Change on Floods in an Indian Region using Machine Learning.- Improving Limited Resource Speech Recognition Performance with Latent Regression Bayesian Network.- Input Layer Binarization with Bit-Plane Encoding.- Investigation of Information Processing Mechanisms in the Human Brain during Reading Tanka Poetry.- Joint Demosaicing and Denoising with Frequency Domain Features.- Knowledge Distillation with Feature Enhancement Mask.- Label-description Enhanced Network for Few-shot Named Entity Recognition.- Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm.- LaneMP: Robust Lane Attention Detection based on Mutual Perception of Keypoints.- LE-MVSNet: Lightweight Efficient Multi-view Stereo Network.- Lightweight Reference-Less Summary Quality Evaluation via Key Feature Extraction.- Limited Information Opponent Modeling.

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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 ContentsMEA-TransUNet: a Multiple External Attention Network for Multi-Organ Segmentation.- Membership-Grade Based Prototype Rectification for Fine-Grained Few-Shot Classification.- Multi-grained Aspect Fusion for Review Response Generation.- Multiple Object Tracking based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation.- Multi-relation Identification for Few-shot Document-level Relation Extraction.- Multi-Task Learning for Mongolian Morphological Analysis.- Multi-task Pre-training for Lhasa-Tibetan Speech Recognition.- Mutual Information Dropout: Mutual Information Can Be All You Need.- Non-Outlier Pseudo-Labeling for Short Text Clustering.- Optimal Node Embedding Dimension Selection Using Overall Entropy.- PairEE: A Novel Pairing-Scoring Approach for Better Overlapping Event Extraction.- PCB Component Rotation Detection Based on Polarity Identifier Attention.- PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation.- PlantDet: A benchmark for Plant Detection in the Three-Rivers-Source Region.- PO-DARTS: Post-Optimizing the Architectures Searched by Differentiable Architecture Search Algorithms.- Predicting high vs low mother-baby synchrony with GRU-based ensemble models.- Properties of the weighted and robust implicitly weighted correlation coefficients.- PSML: Prototype-Based OSSL Framework for Multi-Information Mining.- Pure Physics-Informed Echo State Network of ODE Solution Replicator.- RegionRel:A Framework for Jointly Extracting Relational Triplets by Performing Sub-tasks by Region.- Robustness to Variability and Asymmetry of In-memory On-chip Training.- Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity.- Semantic Information Mining and Fusion Method for Bot Detection.- Semilayer-Wise Partial Quantization without Accuracy Degradation or Back Propagation.- ShadowGAN for Line Drawings Shadow Generation.- Ship Attitude Prediction Based on Dynamic Sliding Window and EEMD-SSA-BiLSTM.- Solving Math Word Problem with External Knowledge and Entailment Loss.- Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis.- Spatio-temporal Attention Model with Prior Knowledge for Solar Wind Speed Prediction.- Spatiotemporal model with attention mechanism for ENSO Predictions.- SPM-Diffusion for Temperature Prediction.- S-SOLVER: Numerically stable adaptive step size solver for neural ODEs.- TableSF: A Structural Bias Framework for Table-to-Text Generation.- TCS-LipNet:Temporal & Channel & Spatial Attention-based Lip Reading Network.- The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence.- The progressive detectors and discriminative feature descriptors combining global and local information.- Towards Better Dialogue Utterance Rewriting via a Gated Span-Copy Mechanism.- TSP Combination Optimization with Semi-local Attention Mechanism.- UDCGN: Uncertainty-Driven Cross-Guided Network for Depth Completion of Transparent Objects.- Use of Machine Learning Algorithms to Analyze the Digit Recognizer Problem in an Effective Manner.- Vulnerability Analysis of Continuous Prompts for Pre-trained Language Models.

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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 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, 9 short papers and 9 abstract 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 Data Augmentation based ViT for Fine-Grained Visual Classification.- A Detail Geometry Learning Network for High-Fidelity Face Reconstruction.- A Lightweight Multi-Scale Large Kernel Attention Hierarchical Network for Single Image Deraining.- A Multi-Scale Method for Cell Segmentation in Fluorescence Microscopy Images.- Adaptive interaction-based multi-view 3D object reconstruction.- An auxiliary modality based Text-Image matching methodology for fake news detection.- An Improved Lightweight YOLOv5 for Remote Sensing Images.- An Improved YOLOv5 with Structural Reparameterization for Surface Defect Detection.- ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images.- Cascaded Network-based Single-View Bird 3D Reconstruction.- CLASPPNet: A Cross-Layer Multi-Class Lane Semantic Segmentation Model Fused with Lane Detection Module.- Classification-based and Lightweight Networks For Fast Image Super Resolution.- CLN: Complementary Learning Network For 3D Face Reconstruction And Alignment.- Combining Edge-guided Attention and Sparse-connected U-Net for Detection of Image Splicing.- Contour-augmented Concept Prediction Network for image captioning.- Contrastive Knowledge Amalgamation for Unsupervised Image Classification.- Cross Classroom Domain Adaptive Object Detector for Student's Heads.- Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models.- DWA: Differential Wavelet Amplifier for Image Super-Resolution.- Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory.- End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters.- E-Patcher: A Patch-based Efficient Network for Fast Whole Slide Images Segmentation.- Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality.- Extraction Method of Rotated Objects from High-resolution Remote Sensing Images.- Few-shot NeRF-based View Synthesis for Viewpoint-biased Camera Pose Estimation.- Ga-RFR: Recurrent Feature Reasoning with gated convolution for Chinese Inscriptions Image Inpainting.- Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples.- Image Caption with Prior Knowledge Graph and Heterogeneous Attention.- Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network.- Improving Image Captioning with Feature Filtering and Injection.- In silico study of single synapse dynamics using a three-state kinetic model.- Interpretable Image Recognition by Screening Class-specific and Class-shared Prototypes.- Joint Edge-guided and Spectral Transformation Network for Self-Supervised X-ray Image Restoration.- Lightweight Human Pose Estimation Based On Densely Guided Self-Knowledge Distillation.- MCAPR: Multi-Modality Cross Attention for Camera Absolute Pose Regression.- MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision.- Medical Image Segmentation and Saliency Detection through a Novel Color Contextual Extractor.- MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images.- Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks.- Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking.- Multi-scale field distillation for multi-task semantic segmentation.- Neural Field Conditioning Strategies for 2D Semantic Segmentation.- Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes.- PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis.- Pie-UNet: A novel Parallel Interaction Encoder for Medical Image Segmentation.- Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images.- PSR-Net A Dual-Branch Pyramid Semantic Reasoning Network for Segmentation of Remote Sensing Images.

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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, 9 short papers and 9 abstract 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 Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space.- Air-to-Ground Active Object Tracking via Reinforcement Learning.- Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-Processing of Recurrent Neural Networks.- Group-Agent Reinforcement Learning.- Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction.- Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning.- LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules.- Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration.- Multi-fusion Recurrent Network for Argument Pair Extraction.- Pacesetter Learning For Large Scale Cooperative Multi-Agent Reinforcement Learning.- Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks.- t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks.- Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams.- An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting.- Generating Sparse Counterfactual Explanations For Multivariate Time Series.- Graph Neural Network-Based Representation Learning for Medical Time Series.- Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting.- MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting.- MIPCE: Generating Multiple Patches Counterfactual-changing Explanations for Time Series Classification.- Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering.- Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting.- Temporal Attention Signatures for Interpretable Time-Series Prediction.- Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network.- WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting.- A Novel Encoder and Label Assignment for Instance Segmentation.- A Transformer-based Framework for Biomedical Information Retrieval Systems.- A Transformer-Based Method for UAV-View Geo-Localization.- Cross-graph Transformer Network for Temporal Sentence Grounding.- EGCN: A Node Classification Model based on Transformer and Spatial Feature Attention GCN for Dynamic Graph.- Enhance Representational Differentiation Step By Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification.- GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction.- Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer.- Hierarchical Vision and Language Transformer for Efficient Visual Dialog.- ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection.- Imbalanced Conditional Conv-Transformer For Mathematical Expression Recognition.- Knowledge Graph Transformer for Sequential Recommendation.- LorenTzE: Temporal Knowledge Graph Embedding based on Lorentz Transformation.- MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion.- NeuralODE-based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-dimensional Dynamical Systems.- RRecT: Chinese Text Recognition with Radical-enhanced Recognition Transformer.- S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.- Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition.- SHGAE: Social Hypergraph AutoEncoder for Friendship Inference.- Temporal Deformable Transformer For Action Localization.- Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer.

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Book SynopsisThis book constitutes the refereed proceedings of the 9th Joint International Conference on Serious Games, JCSG 2023, held in Dublin, Ireland, during October 26–27, 2023. The 18 full papers presented together with 9 short papers and 14 poster papers were carefully reviewed and selected from 53 submissions. They are grouped into the following topics: technology and systems; theoretical and design aspects; health and wellbeing; extended realities; soft and social skills; academic skills; and posters and exhibits.Table of ContentsTechnology and Systems.- Theoretical and Design Aspects.- Health and Wellbeing.- Extended Realities.- Soft and Social Skills.- Academic Skills.- Posters and Exhibits.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Informatics in Schools: Situation, Evolution and Perspectives, ISSEP 2023, held in Lausanne, Switzerland, during October 23–25, 2023. The 14 full papers presented in this book were carefully reviewed and selected from 47 submissions. They are organized in four topical sections named: artificial intelligence and its applications; competitions, problem solving, and computational; robotics and unplugged modalities; and curricula and computer science concepts. This is an open access book.Table of ContentsEducation and Awareness for Artificial Intelligence.- What is AI-PACK? Outline of AI competencies for teaching with DPACK.- Implementing a Portable Learning Lab on Artificial Intelligence: It's AI in a Box!.- Investigating the Role of ChatGPT in Supporting Text-Based Programming Education for Students and Teachers.- All Green: How Different Age Groups Solved the Same Bebras Task.- Effects of the COVID-19 pandemic on the Bebras Computational Thinking Challenge: Comparing numbers, examining reasons and investigating recommendations.- The Function of Note-Taking in Problem Solving in the Computer Science Escape Game Room.- An Exploratory Investigation on High-School Students’ Understanding of Threads.- Combining Models to Orchestrate an Instructional Scenario Fostering Computational Thinking in Educational Robotics.- Teachers' Knowledge in Informatics---Exploring Educational Robotics Resources Through the Lens of Textual Data Analysis.- Reshaping Unplugged Computer Science Workshops for Primary School Education.- Evaluating the New Secondary CS Curriculum in the Netherlands - The Teachers’ Perspective.- Navigating the Implementation of the Curriculum Digital Education in Austrian Secondary Schools: Challenges and Teacher Perspectives.- Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills.

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Book SynopsisThis book includes extended and revised versions of a set of selected papers presented at the 19th International Conference on Smart Business Technologies, ICSBT 2022, Lisbon, Portugal, July 14–16, 2022, and 19th International Conference on Security and Cryptography, SECRYPT 2022, Lisbon, Portugal, July 11-13, 2022.The 7 full papers included in the volume were carefully selected from the 143 submissions accepted to participate in the conference. The papers present reciting research on e-Business technology and its current applications; and all aspects of security and privacy.Table of ContentsSPOT+: Secure and Privacy-Preserving Proximity-Tracing Protocol with Efficient Verification over Multiple Contact Information.- Blind side channel on the Elephant LFSR Extended version.- Stacked Ensemble Models Evaluation on DL Based SCA.- Explaining the Use of Cryptographic API in Android Malware.- Explaining the Use of Cryptographic API in Android Malware.- Intrinsic Weaknesses of IDSs to Malicious Adversarial Attacks and their Mitigation.- Compressing Big OLAP Data Cubes in Big Data Analytics Systems: New Paradigms, a Reference Architecture, and Future Research Perspectives.

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Book Synopsis​This book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.

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Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Applied Informatics, ICAI 2023, which took place in Guayaquil, Ecuador, in October 2023.The 30 papers presented in this volume were carefully reviewed and selected from 132 submissions. The contributions are divided into the following thematic blocks: Artificial Intelligence; Data Analysis; Decision Systems; Enterprise Information Systems Applications; Geoinformatics; Health Care Information Systems; Interdisciplinary Information Studies; Learning Management Systems; Virtual and Augmented Reality.Table of ContentsArtificial Intelligence.- Data Analysis.- Decision Systems.- Enterprise Information Systems Applications.- Geoinformatics.- Health Care Information Systems.- Interdisciplinary Information Studies.- Learning Management Systems.- Virtual and Augmented Reality.

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Book SynopsisThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.

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Book SynopsisThis book constitutes the refereed proceedings of the 42nd International Conference on Conceptual Modeling, ER 2023, held in Lisbon, Portugal, during November 6-9, 2023. The 21 full papers were carefully reviewed and selected from 121 submissions. Additionally, the book contains 4 keynote speeches and 3 tutorials, and one invited paper corresponding to one of the keynote speeches. The papers cover a broad spectrum of classical and modern topics on conceptual modeling, including research and practice in the theories of concepts and ontologies, techniques for transforming conceptual models into effective implementations, and methods and tools for developing and communicating conceptual models.Table of Contents​Invited Paper.- Stochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMs.- The Conceptual Modeling Task.- A Survey of Ethical Reasoning Methods, their Metamodels, and a Theory on their Application to Conceptual Modelling.- Use of Competency Questions in Ontology Engineering: a Survey.- How Inclusive is Conceptual Modeling? A Systematic Review of Literature and Tools for Disability-aware Conceptual Modeling.- The Meta Level.- A Terminological and Semiotic Review of the Digital Object Concept.- The Ontology for Conceptual Characterization of Ontologies.- ProMoTe: A Data Product Model Template for Industry.- Model-Based Analysis and Implementation.- Using a Conceptual Model in Plug-and-play SQL.- Sanity-Checking Multiple Levels of Classification – A Formal Approach with a ConceptBase Implementation.- A Safari for Deviating GoF Pattern Definitions and Examples on the Web.- Process Mining and Abstraction.- Object-Centric Alignments.- Transforming Event Knowledge Graph to Object-Centric Event Logs: A Comparative Study for Multi-dimensional Process Analysis.- Ontology-Based Abstraction of Bot Models in Robotic Process Automation.- Modeling Events and Processes.- Shards of Knowledge – Modeling Attributions for Event-Centric Knowledge Graphs.- A Characterisation of Ambiguity in BPM.- Dealing with the evolution of event-based choreographies of BPMN fragments: definition and proof of concept.- Conceptual Modeling in Context.- Safety Analysis of Human Robot Collaborations with GRL Goal Models.- A Domain-Specific Visual Modeling Language for Augmented Reality Applications Using WebXR.- An Ontology for Context Modeling in Smart Spaces.- Applications of Conceptual Modeling.- A Reference Meta-Model to Understand DNA Variant Interpretation Guidelines.- A Conceptual Modeling Approach for Risk Assessment and Mitigation in Collision-free UAV Routing for Beyond-the-Visual-Line-of-Sight Flights.- QuantumShare: Towards An Ontology for Bridging the Quantum Divide.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThese two volumes constitute the proceedings of the 21st International Conference, ICSOC 2023, held Rome, Italy, during November 28–December 1, 2023.The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions.Table of ContentsProcesses and workflows.- Service descriptions, tags, discovery and recommendation.- Service frameworks for IoT, mobile and smart environments.- Industrial papers.

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Book SynopsisIn recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.Table of ContentsList of Figures.- List of Tables.- Preface.- Acknowledgments.- Web of Data: Describing and Linking Entities.- Matching and Resolving Entities.- Blocking.- Iterative Entity Resolution.- Experimental Evaluation of Blocking Algorithms.- Conclusions.- Bibliography.- Authors' Biographies .

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Book SynopsisThis research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications. Table of ContentsTheoretical Concepts of Network Analysis.- Network Basics.- Graph Theory.- Social Networks.- Node-Level Analysis.- Group-Level Analysis.- Network-Level Analysis.- Information Diffusion in Social Networks.- Appendix A: Python Tutorial.- Appendix B: NetworkX Tutorial

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Book SynopsisTable of Contents1. Algorithmen.- 1.1 Was ist ein Algorithmus?.- Euklidischer Algorithmus.- Die Fähigkeiten des Computers.- 1.2 Lineare Anweisungsfolge.- Variable und Konstante.- Name von Variablen.- Wertzuweisung.- Programmablaufplan.- Hilfsvariable.- Ein- und Ausgabe von Daten.- Die Zahlenmengen der EDV.- Abschneiden und Runden.- Abschneiden.- Runden.- 1.3 Bedingte Anweisungen (Verzweigungen).- Sortierprobleme.- Zusammengesetzte Bedingungen.- 1.4 Schleifen.- Laufanweisungen.- Auflösen von Laufanweisungen.- Schleifen mit Bedingungen.- Ineinandergeschachtelte Schleifen.- 1.5 Felder.- Sortieren eines Feldes.- Tabellen.- Äquidistante Schlüsselwerte.- Sequentielles Suchen und Interpolieren in geordneten Tabellen.- Binäres Suchen.- Doppelt indizierte Felder.- 1.6 Funktionen.- Funktionen mit mehreren Parametern.- 1.7 Unterprogramme.- 2. Algol.- 2.1 Was ist eine Programmiersprache?.- 2.2 Lineare Anweisungsfolge.- Abschneiden.- Runden.- Die Programmierung von Termen.- 2.3 Bedingte Anweisungen (Verzweigungen).- Sortierprobleme.- Zusammengesetzte Bedingungen.- 2.4 Schleifen.- Auflösen der Laufanweisung.- Schleifen mit Bedingung.- Ineinandergeschachtelte Laufanweisungen.- 2.5 Felder.- Sortieren eines Feldes.- Tabellen.- Äquidistante Tabellen.- Sequentielles Suchen in geordneten Tabellen.- Binäres Suchen.- Doppelt indizierte Felder.- 2.6 Funktionen.- Standardfunktionen.- Funktionen mit mehreren Parametern.- 2.7 Unterprogramme.- Zusammenfassung der ALGOL-Begriffe.- 3. Fortran.- 3.1 Was ist eine Programmiersprache?.- 3.2 Die Programmierung einer linearen Anweisungsfo1ge.- Erläuternde Kommentare zu einem FORTRAN-Programm.- Ausgabe von Text.- Die Programmierung von Termen.- Abschneiden und Runden.- 3.3 Bedingte Anweisungen (Verzweigungen).- Sortierprobleme.- Zusammengesetzte Bedingungen.- 3.4 Schleifen.- Aufgelöste Schleifenanweisung.- Schleifen mit Bedingung.- Ineinandergeschachtelte Schleifenanweisung.- 3.5 Felder.- Suchen und Interpolieren in Tabellen.- Tabellen mit äquidistanten Schlüsselwerten.- Tabellen mit geordneten Schlüsselwerten.- Doppelt indizierte Felder.- 3.6 Funktionen.- Standardfunktionen.- Funktionen mit mehreren Parametern.- 3.7 Unterprogramme.- Zusammenfassung der Grundbegriffe der Programmiersprache FORTRAN.- 4. Aufgaben.- E Aufgaben aus elementaren Stoffgebieten.- M Aufgaben aus der Mengenlehre.- Z Aufgaben mit ganzen Zahlen (Zahlentheorie).- S Aufgaben mit Gesamtheiten reeller Zahlen (Statistik, Tabellen).- G Aufgaben mit Gleichungen und Ungleichungen.- F Aufgaben über Funktionen.- A Aufgaben über Vektoren und analytische Geometrie.- T Aufgaben aus der Trigonometrie.- R Aufgaben über Folgen und Reihen.- N Näherungsmethoden.- I Aufgaben aus der Integralrechnung.- V Verschiedenes.- Geschichtlicher Überblick.- Weiterführende Literatur.- Stichwortverzeichnis.

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Book SynopsisMultimedia Systems discusses the basic characteristics of multimedia operating systems, networking and communication, and multimedia middleware systems. The overall goal of the book is to provide a broad understanding of multimedia systems and applications in an integrated manner: a multimedia application and its user interface must be developed in an integrated fashion with underlying multimedia middleware, operating systems, networks, security, and multimedia devices. Fundamental characteristics of multimedia operating and distributed communication systems are presented, especially scheduling algorithms and other OS supporting approaches for multimedia applications with soft-real-time deadlines, multimedia file systems and servers with their decision algorithms for data placement, scheduling and buffer management, multimedia communication, transport, and streaming protocols, services with their error control, congestion control and other Quality of Service aware and adaptive algorithms, synchronization services with their skew control methods, and group communication with their group coordinating algorithms and other distributed services. Table of Contents1 Introduction.- 2 Quality of Service.- 3 Multimedia Operating Systems.- 4 Media Server.- 5 Networks.- 6 Communication.- 7 Group Communication.- 8 Synchronization.

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Book SynopsisThis book provides precise descriptions and instructions which enable users, students and consultants to understand Microsoft Dynamics AX rapidly. Microsoft offers Dynamics AX as its premium ERP solution, supporting large and mid-sized organizations with a complete business management solution which is easy to use. Going through a simple but comprehensive case study, this book provides the required knowledge to handle all basic business processes in Dynamics AX. Exercises are there to train the processes and functionality, also making this book a good choice for self-study.Table of ContentsBasics and Technology – Navigation and User Interface – Supply Chain Management – Trade and Logistics – Advanced Warehouse Management – Manufacturing – Financial Management.

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Book SynopsisIn dieser völlig überarbeiteten 2. Auflage wurden die neuesten Softwarefunktionalitäten berücksichtigt sowie wichtige Themen, wie Shop Floor Management, Energiemanagement, Projektmanagement, Change Management und Industrie 4.0 ergänzt. Die Autoren zeigen anhand von Praxisbeispielen auf, wie sich durch die sogenannte Short Interval Technology (SIT) systematisch schnelle Regelkreise im Unternehmen aufbauen lassen. Das Ziel ist die Perfekte Produktion mit transparenten, reaktionsschnellen und wirtschaftlichen Prozessen.Mit den klassischen Methoden der Produktionsplanung und -steuerung sowie den häufig anzutreffenden Produktionsprozesse gelingt es vielen Unternehmen nur noch mit großem Aufwand, in den immer besser vernetzten und schneller getakteten Lieferketten mitzuspielen und kurze Lieferzeiten, hohe Termintreuen, kleine Losgrößen, kurzfristige Abrufe und just-in-time Anlieferungen bei wettbewerbsfähigen Kosten sicherzustellen.Table of ContentsDie Anforderungen an die perfekte Produktion.- Short Interval Technology (SIT).- Die Schwachstellen der klassischen Produktion.- Die Bausteine der perfekten Produktion.- Zielorientierte Prozessverbesserung.- Erfolgreiche Umsetzung in der Praxis.- Schlusswort.

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Book SynopsisEnterprise Resource Planning (ERP) ist eine Software Lösung, die alle Prozesse eines Unternehmens digitalisiert, mit dem Ziel den Automatisierungsgrad zu erhöhen. SAP bietet mit SAP S/4HANA die nächste Generation eines intelligenten ERP-Systems. Das Buch erläutert den Funktionsumfang, das Datenmodell, die Architektur, die zugrun­deliegenden Engineering Konzepte und das Programmiermodell von ERP-Systemen basierend auf SAP S/4HANA.Im ersten Teil lernen interessierte Leser*innen die Marktsicht von ERP kennen. Der zweite Teil behan­delt die ERP-Geschäftsprozesse für Vertrieb, Marketing, Finanzwesen, Lieferketten, Fertigung, Dienstleistungen, Beschaffung und Personalwesen. Im dritten Teil werden die zugrundeliegenden Konzepte beschrieben, z. B. In-Memory Datenbanken, Ana­lytics und Reporting, Künstliche Intelligenz, Prozess- und Datenintegration, Sicherheit und Compliance, Lebenszyklusmanagement, Performanz und Skalierbarkeit, Konfigu­ration und Implementierung. Das Buch schliesst mit der Beschreibung und einer Testzugangs-Möglichkeit zur SAP Cloud Appliance Library, mit dem die Leserschaft das SAP S/4HANA System selbst erkunden kann.Table of ContentsHerausforderungen und Merkmale von ERP-Systemen.- ERP-Marktanalyse.- ERP Zukunftstrends.- Funktionale Abteilungen und Unternehmensdomänen.- Stammdaten des Geschäftspartners.- Stammdaten des Produkts.- Stammdaten der Stückliste.- Geschäftsprozess „Von der Idee bis zur Markteinführung“.- Geschäftsprozess „Von der Bezugsquellenfindung bis zur Zahlung“.- Geschäftsprozess „Von der Planung bis zur Auftragserfüllung“.- Geschäftsprozess „Vom Auftrag bis zum Zahlungseingang“.- Geschäftsprozess „Von der Rekrutierung bis zum Ruhestand“.- Geschäftsprozess „Vom Erwerb bis zur Stilllegung“.- Geschäftsprozess „Unternehmensführung“.- Geschäftsprozess „Finanzwesen“.- Industrielösungen.- ERP-Produktqualitäten: Kundensicht.- ERP-Produktqualitäten: Anbietersicht.- In-Memory Persistenz.- Virtuelles Datenmodell.- Transaktionales Programmiermodell.- Berichtswesen.- Enterprise Suche.- Künstliche Intelligenz.- Internet der Dinge.- Prozessintegration.- Datenintegration.- Erweiterbarkeit: In-App.- Erweiterbarkeit: Side-by-Side.- Benutzeroberflächen.- Identitäts- und Zugriffsverwaltung.- Datenschutz.- Sichere Entwicklung und sicherer Betrieb.- Globalisierung und Lokalisierung.- Skalierbarkeit und Performanz.- Lebenszyklusmanagement.- Konfiguration.- Implementierung.- SAP S/4HANA System erkunden.

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Book SynopsisThis is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.Trade Review“The author of the book, Wil van der Aalst, is very knowledgeable in the area. … His research interests are workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. … I enjoyed reading the book and learned about process mining. It will be helpful to researchers and industry professionals working on fields related to business processes such as business intelligence and workflow management.” (Gulustan Dogan, Computing Reviews, March, 2017)Table of ContentsIntroduction.- Preliminaries.- From Event Logs to Process Models.- Beyond Process Discovery.- Putting Process Mining to Work.- Reflection.- Epilogue.

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Book SynopsisThe LNCS journal Transactions on Large-Scale Data and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 50th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised selected regular papers. Topics covered include data anonymization, quasi-identifier discovery methods, symbolic time series representation, detection of anomalies in time series, data quality management in biobanks, and the use of multi-agent technology in the design of intelligent systems for maritime transport.Table of ContentsA Parallel Quasi-identifier Discovery Scheme for Dependable Data Anonymisation.- Towards Symbolic Time Series Representation Improved by Kernel Density Estimators.- Anomaly Detection in Time Series.- Designing Intelligent Marine Framework Based on Complex Adaptive System Principle.- Data Item Quality for Biobanks.

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Book SynopsisThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.Table of ContentsModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud.- Variable-Size Segmentation for Time Series Representation.- Semantic Similarity in a Taxonomy by Evaluating the Relatedness of Concept Senses with the Linked Data Semantic Distance.- Constituency-informed and Constituency-constrained Extractive Question Answering with Heterogeneous Graph Transformer.- FAPFID: A Fairness-aware Approach for Protected Features and Imbalanced Data.- D-Thespis: A Distributed Actor-Based Causally Consistent DBMS.

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Book SynopsisThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.Table of ContentsClock-G: Temporal graph management system.- TSPredIT: Integrated tuning of data preprocessing and time series prediction models.- A guide to the Tucker tensor decomposition for data mining: exploratory analysis, clustering and classification.- Challenges for Healthcare Data Analytics over Knowledge Graphs.- From Database Repairs to Causality in Databases and Beyond.

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Book SynopsisAgro-informatics is the application in agriculture with innovative ideas, techniques and scientific knowledge to expand the horizons of the Computer Science. The book contains the details about the information technology applied to management and analysis of agricultural data The book covers the diverse areas ranging from artificial intelligence, artificial neural networks, decision support system, expert system, geographic information system, information system related to agriculture, genetic algorithm, programming language with backend tool to develop softwares The book contains fifteen s that highlight and discuss the various dimensions of agro-informatics. It is hoped that the book will provide the basic and fundamental knowledge of understanding the concepts of Bioinformatics. This book is prepared, taking into consideration the changing needs of the undergraduate curricula of various universities involved in offering courses on agro-informatics The book will also be a guide for the researchers The book would also provide the required computer knowledge to the students of State Agricultural Universities and other ICAR Institutions to sharpen their understanding of agro-informatics.Table of Contents01. Introduction to Agroinformatics 02. Agriculture Information System 03. Farm Management System 04. Management Information System 05. Geographic Information System 06. Artificial Intelligence 07. Artificial Neural Networks 08. Expert Systems 09. Decision Support System DSS 10. Genetic Algorithms 11. Programming Language - Visual Basic 12. Database Management System 13 . Agricultural Databases, Technical Report and Conference Reports 14. Web Portal 15. Introduction to Bioinformatics

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Book SynopsisThis open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.Table of ContentsUrban Science and Systems.- Urban Sensing.- Urban Big Data Infrastructure.- Urban Computing.- Urban Problems and Possible Solutions.- Perspectives for the Future.

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Book SynopsisThis book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.Table of ContentsImplementation of Healthcare System using Android Application Storing Health Records in Cloud.- Threshold and Segmentation based X-ray Imaging analysis for Covid-19 Detection.- Feature Based Squids Classification using Fuzzy Logic.- Comparative Analysis on Factors Affecting Accuracy of Seizure detection using EEG Signal Processing.- Predictive Analysis of damage occurred due to Natural Disasters using Whale-Optimization algorithm based Hybrid Computation.- Remote Access for Advanced Mobile Communication Systems.- A Study to assess the knowledge and opinion of Mid- Level Health Providers of Chittoor District regarding m-health.- Machine Learning Techniques for Identifying Diabetes and its Complications based on long non-coding RNAs.- Performance Comparison of semantic web data using virtual and cloud services.- Present and future prospective of Microbial Fibrinolytic Enzyme Production and its Applications.- Molecular docking of Bacterial laccases for the decolourisation of Textile Reactive Azo dyes.- Enhancing the Structure of Cyber Risks in Cloud Environment using Cloud Forensics Technique.- Application of Artificial Intelligence in Public Health Care in India.- An Adaptive Channel Assignment Strategy for Multi-Radio Multi-Channel Wireless Mesh Networks with Mobile Nodes Based on Internet Traffic.- Multi-Standard Schema Based Classification of Geospatial Metadata in Spatial Data Infrastructures using Feature Weight Induced Probabilistic Learning Scheme.- Text Summarization of Multiple Documents using Binary Fruit Fly Optimization Algorithm.

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Book SynopsisThis book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.Table of ContentsChapter 1. CNN parameter adjustment for brain tumor classification.- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network.- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier.- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario.- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach.- Chapter 6. Product Based Market Analysis using Deep Learning.- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey.- Chapter 9. Deep age estimation using sclera images in multiple environment.- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey.- Chapter 11. Breast cancer detection in mammograms using deep learning.- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses.- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients.- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach.- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity.

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Book SynopsisThis two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.Table of ContentsBig Data Management and Applications.- Social Media and Recommendation Systems.- Infrastructure for Data Science.- Basic Theory and Techniques for Data Science.- Machine Learning for Data Science.- Multimedia Data Management and Analysis.

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Book SynopsisThis two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.Table of ContentsSocial Media and Recommendation Systems.- Data Security and Privacy.- Applications of Data Science.- Education research, methods and materials for data science and engineering.- Research demo.

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Book SynopsisThis book is a part of the Blue Book series “Research on the Development of Electronic Information Engineering Technology in China”, which explores the cutting edge of blockchain technology studies.The research objects of blockchain are the concept, development process, core value of blockchain, and focuses on the core technology and classification of blockchain technology. And summarizes the development situation of the global and Chinese blockchain industry, including the status quo of policy measures, standard construction, and application development. Finally, summarize the main innovation points of blockchain technology, including its development in China, and prospects the future development of blockchain technology. This book is intended for researchers and industrial staffs who have been following the current situation and future trends of the blockchain. Meanwhile, it also bears high value of reference for experts, scholars, and technical and engineering managers of different levels and different fields.Table of ContentsI. The Concept and Benefits of Blockchain(I) The Concept of Blockchain. 1 (II) The History of Blockchain. 1 (III) The Benefits of Blockchain. 2 II. The Core Technologies and Classifications of Blockchain. 3 (I) Core Technologies of Blockchain. 3 1. Ledger Data Structure. 3 2. Consensus Algorithms. 4 3. Peer-to-peer (P2P) Network. 5 4. Cryptography. 5 5. Smart Contract 6 (II) Classifications of Blockchain. 8 1. Public Blockchain. 8 2. Permissioned Blockchain. 8 III. The Industrial Development Trend of Blockchain. 10 (I) Global Industrial Development Trend of Blockchain. 10 1. Countries all over the world are competing to lay out blockchain and occupy the high ground in the industry. And the regulatory system has been improving. 10 2. The Integration of Blockchain and Real Economy Proves to be a Main Trend. and Giant Companies Have Joined in. 16 3. The Establishment of Blockchain Standard System is accelerating, and the Fight for Voices is Increasingly Fierce. 17 (II) Analysis on the Current Situation of China's Blockchain Industry. 19 1. National strategic orientation and industrial policies have been continuously improved. 19 2. The standard system has been initially established and the development of standards has been steadily promoted. 23 3. Main body of industry continues to grow and upstream and downstream chains are basically formed. 25 IV. Blockchain Technology Innovation Hot Spots. 30 (I) Blockchain Scalability. 30 (II) Blockchain Interoperability. 32 (III) Blockchain Privacy Protection and Security. 33 (IV) Blockchain Governance Technology. 34 V. Hot Spots and Highlights of China's Blockchain Development 35 (I) Blockchain underlying platforms are emerging, and the technology is improving. 35 (II) Integrate deeply with the real economy, and develop more applications. 38 VI. The Future of Blockchain. 42 References. 44

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Book SynopsisThis book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.Table of ContentsImproving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm.- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE – Approach & Algorithm Experimentation.- Monitoring loud commercials in television broadcast.- Potential Customers Prediction in Bank Telemarketing.- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network.- Deep Neural Networks Predicting Student Performance.- An Efficient Group Signature Scheme based on ECDLP.- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people‘s behaviour in social media.

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Book SynopsisThis book constitutes refereed proceedings of the 4th International Conference on Recent Trends in Advanced Computing - Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from industry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.Table of ContentsPTZ-camera-based facial expression analysis using faster R-CNN for student engagement recognitionConvergence Perceptual Model for Computing Time-Series-Data on Fog-EnvironmentLocalized Super Resolution for Foreground Images using U-Net and MR-CNNSMS Spam Classification Using PSO-C4.5Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Deep CNNPest Detection using Improvised YOLO ArchitectureClassification of Fungi Effected Psidium Guajava Leaves using ML and DL TechniquesDeep Learning Based Recognition of Plant DiseasesArtificial Cognition of Temporal Events using Recurrent Point Process NetworksOn the Performance of Energy Efficient Video Transmission over LEACH based protocol in WSNHybridization of Texture Features for Identification of Bi-lingual Scripts from Camera Images at WordlevelAdvanced Algorithmic Techniques for Topic Prediction and Recommendation - An AnalysisImplementation of an automatic EEG feature extraction with Gated Recurrent Neural Network for Emotion Recognition.

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Book SynopsisThis book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.​Table of ContentsModelling of Disease Transformation.- Epidemic Forecast.- COVID-19: Theory and practice.- Image Processing and Computer Vision.- Augmented Intelligence: Theory and Applications.- Soft Computing: Theory and Applications.- Deep Learning: Theory and Applications.

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Book SynopsisThis two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023. The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. The papers are organized in the following topical sections:Part I: Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis.Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.Table of Contents​Applications of Data Science.- Construction of Software Design and Programming Practice Course in Information and Communication Engineering.- A Self-Attention-Based Stock Prediction Method Using Long Short-Term Memory Network Architecture.- CAD-based Research on the Design of a Standard Unit Cabinet for Custom Furniture of the Cabinet Type.- An Improved War Strategy Optimization Algorithm for Big Data Analytics.- Research on Path Planning of Mobile Robots Based on Dyna-RQ.- Small Target Helmet Wearing Detection Algorithm based on Improved YOLO V5.- Research on Dance Evaluation Technology based on Human Posture Recognition.- Multiple-channel Weight-based CNN Fault Diagnosis Method.- Big Data Management and Applications.- Design and Implementation of Key-Value Database for Ship Virtual Test Platform Based on Distributed System.- Big Data Mining and Knowledge Management.- Research on Multi-modal Time Series Data Prediction Method Based on Dualstage Attention Mechanism.- Prediction of Time Series Data with Low Latitude Features.- Lightweight and Efficient Attention-based Superresolution Generative Adversarial Networks.- The Multisource Time Series Data Granularity Conversion Method.- Outlier Detection Model Based on Autoencoder and Data Augmentation for High-Dimensional Sparse Data.- Dimension Reduction Based on Sampling.- Complex Time Series Analysis Based on Conditional Random Fields.- Feature Extraction of Time Series Data Based on CNNCBAM.- Optimization of a Network Topology Generation Algorithm based on Spatial Information Network.- Data Visualization.- MBTIviz: A Visualization System for Research on Psycho-demographics and Personality.- Data-driven Security.- Distributed Implementation of SM4 Block Cipher Algorithm based on SPDZ Secure Multi-party Computation Protocol.- DP-ASSGD: Differential Privacy Protection Based on Stochastic Gradient Descent Optimization.- Study on Tourism Workers ’ Intercultural Communication Competence.- A Novel Federated Learning with Bidirectional Adaptive Differential Privacy.- Chaos-Based Construction of LWEs in Lattice-Based Cryptosystems.- Security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve.- Infrastructure for Data Science.- Two-dimensional Code Transmission System Based on Side Channel Feedback.- An Updatable and Revocable Decentralized Identity Management Scheme based on Blockchain.- Cloud-Edge Intelligent Collaborative Computing Model based on Transfer Learning in IoT.- Design and Validation of a Hardware-in-the-loop based Automated Driving Simulation Test Platform.- Machine Learning for Data Science.- Improving Transferability Reversible Adversarial Examples based on Flipping Transformation.- Rolling Iterative Prediction for Correlated Multivariate Time Series.- Multimedia Data Management and Analysis.- Video Popularity Prediction Based on Knowledge Graph and LSTM Network.- Design and Implementation of Speech Generation and Demonstration Research Based on Deep Learning.- Testing and Improvement of OCR Recognition Technology in Export-OrientedChinese Dictionary APP.

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