Artificial intelligence (AI) Books

Book SynopsisMitigating Social Engineering Attacks Through AI and Behavioral Analytics in Human-Centric Cybersecurity.- Evaluating the Effectiveness of Generative Adversarial Networks (GANs) in Creating Synthetic Datasets for Healthcare Applications.- Comprehensive Approach to Vietnamese Scene Text Recognition: Challenges, Models and Framework Development.- Trusted Federated Learning: A Sustainable Framework for Edge Intelligence in Healthcare Applications.- Optimizing Sentiment Classification of Product Reviews with NLP and Machine Learning.- Delay-Optimized Approximate Realization Technique for Chaotic Systems (DART).- Rationality in Changing Online Purchase Decisions: The impact of Robotic process Automation Among Youngsters.- Improving Industrial Control System Security: A Data Balanced Machine Learning Approach.- MLMCID: Machine Learning for Multi-Class Intrusion Detection Using the CIC-loT-2023 Dataset.- Study of Driver Behaviour Due to Diverted Attention Using Vienna Testing System.

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Book SynopsisDedication.- Preface.- Acknowledgments.- 1. A Technical Introduction to Prompting.- 2. The Language of Causality.- 3. Goal-Oriented Prompting.- 4. Role-Based Prompting.- 5. Structure-Based Prompting.- 6. Tool- and Function-Based Prompting.-7. Memory and Contextual Prompting.- 8. Reasoning-Based Prompting.- Chapter 9. Self-Improving Prompting.- 10. Evaluation-Based Prompting.- 11. Workflow Prompting.- Chapter 12. Creative Prompting.- 13. Ethical Prompting.- 14. Causal Prompting in Practice.- 15. Conclusion: The Art and Theory of Prompting.- Appendix 1. Prompting Techniques Taxonomy.-Appendix 2. Comparative Atlas of Prompting Techniques by Causal Function.- Appendix 3. Glossary.- Appendix 4: The Causal Prompt Canvas.

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Book Synopsis.- Computer Vision, Image and Speech Analysis..- An Autonomous Weeding Robot with Novel Unsupervised DomainAdaptation..- Swin-Editor: Enhancing Consistency in Text-Driven Video Editing..- A Study on Highly Efficient Compact Transformer Features forHistopathological Image Recognition..- Invariant Pattern Recognition with Selectively Denoising andRidgelet-Fourier Features..- Accessibility of Graphical User Interfaces for Autistic People..- Is It Large Enough? A Prompt Learning for Large Multi-Modal Models..- Neural Network-Based Verification of Document Authenticity via PaperStructure and Scan Analysis..- Fuzzy attention module for CNNs in the application of space analysis..- Dataset Augmentation for Detecting Small Objects in Fisheye RoadImages..- Attention U-Net Image Deblurring via Hybrid Loss Optimization..- A Predictive Model for Mean Opinion Score in Text-to-Image QualityAssessment..- Vision Transformer Representations for Efficient Content-Based ImageRetrieval..- Intensification of Dermatological Asymmetry Measure of Skin Lesionsusing PCA..- The role of text and vision modalities in solving Bongard Problemswith VLMs..- Leveraging Vision in Transformers model for Point Cloud PatternMatching..- One Shot, Few Perspectives: Ensemble Learning for Image Segmentation..- Comparison of the effectiveness of optical flow methods in determiningthe velocity of a UAV..- Fine-tuned Data Augmentation Techniques for Digit Recognition in AIoT..- Segmented Medical Image Classification with Deep ConvolutionalNeural Networks Architectures for WBC Detection..- Data Mining..- Deterministic and Nondeterministic Decision Trees for Decision RuleSystems from Closed Classes..- Some Regularized Tools for Dimensionality Reduction..- New approach to instance selection leveraging clustering andneighboring strategies..- Bottleneck Analysis in Software Development: A Case Study UsingProcess Mining..- Pattern Classification..- Channel Attention for Fusarium Head Blight Detection in HyperspectralImages..- Invariant Aircraft Recognition with Fourier and Dual-tree ComplexWavelet Features..- Combining classifiers for texture classification..- Elliptic Separator: A Geometric Approach to Linear Classification..- Artificial Intelligence in Modeling and Simulation..- Entropic metrics in feature selection for neural network-based dataerror detection in CMDB..- UAV Forensics: Transformer-Based Identification of Mobile Devices forDrone Piloting..- Predictive Monitoring of Workforce Dynamics via Neural Networks.

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Book Synopsis.- Various Problems of Artificial Intelligence..- Evaluating Scalability in Open-Set Face Recognition Systems..- Magic Numbers: Algorithm for Mitigating Hallucinations in LLMs..- Lightweight Anomaly Detection for IoT: Evaluating Machine Learningand Deep Learning Models on CICIDS2017..- A survey on algorithms used for drone energy consumption modelling..- Extension to LIBLINEAR’s Logistic Regression Supporting Elastic-NetPenalty..- LoRa Device Identification: A Lightweight Alternative to CNN-BasedMethods..- Enhanced Graph Deviation Networks for Anomaly Detection in SpaceTelemetry..- Hybrid Retrieval in RAG: A Comparison of Semantic, Lexical andReranking Methods..- Analysis of Data and Supervised Machine Learning Algorithms forIntrusion Detection..- AI-Driven Tourist Destination Recommendation Systems: A NeuralNetwork Approach..- Privacy-Preserving Inference for Public Neural Networks..- Use of graph-based knowledge organization to improve the results ofRetrieval Augmented Generation for narrative texts..- Using frequent subgraph mining in flat layout quality classification..- Adaptive Interactive Process Drift Detection: Detecting and visualizingprocess drifts..-  Agent Systems, Robotics and Control..- Distributed Variational Autoencoder Using Actor-Based Architecture..- A Comprehensive Framework for Turn-Taking Evaluation inMulti-Agent Systems: Rotational Periodicity for Scalable CoordinationAnalysis..- Application of Adaptive PSO Algorithm in Design of FIR Filters..- Bioinformatics, Biometrics and Medical Applications..- Novel Method for ICG Data Augmentation By Using Noise-BasedApproach..- A Statistical Reconstruction Algorithm for CT with a Flying FocalSpot Using Direct, Interpolation-Free Projections..- Optimizing OpenMax Parameters for Open-Set Face Recognition..- Taxonomic Classification of Spiders (Araneae) Based on Image TextureAnalysis Using Multifiltering..- A Hybrid Handcrafted and Deep Transfer Learning-Based Frameworkfor COVID-19 Detection Using Voice Analysis..- A modified method for an iterative reconstruction algorithm utilizing aback-projection correlation approach in multi-focus low-dose tomography..- Emotions and App-supported Artificial Intelligence as a Helpful Toolin Psychiatry..- Dermoscopy-specific XAI for melanoma recognition..- Analysis of Respiratory Sinus Arrhythmia with Neural Networks..- A method for verifying dynamic signatures based on signature regions..- Concurrent Parallel Processing..- Efficiently Parallelized Associative Inference of Associative Graph DataNeural Networks.

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Book SynopsisData-Driven Agriculture Using LSTM and PCA: Enhancing Crop Yield with Ensemble and Bayesian Learning Techniques.- Enhancing Precision in Gestational Diabetes Mellitus: A Technical Review of Predictive Models, Challenges, and Future Directions.- AI-Powered Cloud Automation: Reducing Latency in Distributed Systems.- Predicting Mental Health Disorders with Variational Autoencoders.- Could Logarithmic Transformation Spot the Cancer in Leukaemia Microarray Dataset? - A Study Technological Trend in Quadcopter: Analysis and Application.- Real vs Synthetic Face Detection using AI and rPPG Technology.- Comparative Analysis of LSTM, Transformer- based LSTM and Transformer-based GRU for Stock Price Pre-diction: An Implementation in Vietnam Market.- Decoding Breast Cancer Prognosis: An AI-Driven Analytical Approach to Genetic Markers and Prediction Metrics.- The Convergence of AI, IoT, and Agricultural Sensors for Sustainable Agricultural Practices.

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Book SynopsisChapter 1. Artificial Intelligence, Machine Learning, and Clustering in Sustainability.- Chapter 2. Fundamentals of Clustering: Methods, Metrics, and Optimization.- Chapter 3. Programming for Clustering: Python, R, MATLAB, and Anaconda Libraries.- Chapter 4. Clustering Applications in Process Systems Engineering.- Chapter 5. Greenhouse Gas Emissions Clustering for Net Zero Goals.- Chapter 7. The Energy-Food Nexus: Geopolitical and Health Crises Analysis.- Chapter 8: Clustering Urban Zones: A Study of Gentrification.- Chapter 10: Spatiotemporal Clustering of Dam Filling Patterns.

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Book SynopsisUnderstanding Healthcare 5.0 and Emerging Technologies.- Fundamentals of Federated Learning: Principles and Applications.- Data Privacy Challenges in Artificial Intelligence-Driven Healthcare.- Regulatory Frameworks: HIPAA, GDPR, and Compliance in Federated Learning.- Real Time Patient Monitoring and IOMT Applications.- Integration of Blockchain Technology for Ensuring Trust and Security in the Digital Health Market: A Comprehensive Review.- The Convergence of Federated Learning for the Digital Healthcare Market: An Overview.- Differential Privacy and Homomorphic Encryption in Healthcare Artificial Intelligence.- Analysis of Consumer Emotions Impacted By COVID-19.- Guiding The Development of AI In Healthcare Through Ethical Considerations and Effective Governance.- Intelligent Workforce Management in Healthcare 5.0: Redefining HR Through Federated Learning.- The Legal Labyrinth of Smart Wearable Medical Devices: A Literary Overview.- From Traditional to Intelligent: Transforming Global Health Care through Innovation.- Ethical Considerations of Emotion AI used in the Synthetic Media Generations and Applications.- Machine Learning-Based Prediction of Gene-Disease Associations for Reliable Evidence.- Addressing Computational Overhead in Federated Learning Models in Healthcare 5.0 and Beyond.- Robustness Against Adversarial Attacks and Model Security in Healthcare 5.0 and Beyond.-Scalable Model Aggregation and Interoperability Solutions in Healthcare Systems.- Federated Learning for Decentralized Healthcare: Privacy, Efficiency, and Scalability in Healthcare 5.0.- Federated Learning Architectures: Centralized Vs. Decentralized Models In Human Resource(HR).- A Two-staged Optimized Stacking Ensemble learning Classifier for the Prediction of Cervical Cancer.- AI-Assisted Histopathological Image Analysis for Automated Gastric Cancer Detection.- Robotics and AI-Powered Surgical Interventions in Gastric Cancer: Enhancing Precision and Efficacy of Oncologic Treatment24. Electronic Health Records using Blockchain.- Centralized vs. Decentralized Federated Learning Architectures: Design Trade-offs, Security, and Performance in Healthcare 5.0 Applications.- Navigating Healthcare 5.0: How Emerging Technologies Are Transforming Care Delivery and Medical Innovation.- Identification of Stress in IT Professionals Using Convolutional Neural Network.- Federated Learning for Precision Medicine: A Blockchain Enhanced Framework for Privacy Preserving Predictive Analytics in Healthcare 5.0.- Machine Learning Advancements for Diabetes Prediction with LightGBM.- Blockchain Integration for Enhanced Trust and Security in Federated Learning for Healthcare 5.0.- Ontology-Based Data Harmonization and Federated Transfer Learning: Enabling Scalable and Interoperable Intelligence in Healthcare 5.0 for Next-Generation Healthcare.- Future Trends in Federated Learning for Next-Generation Healthcare.- Advancing Federated Learning in Healthcare 5.0.- A Futuristic Pathway in Healthcare.- Federated Learning in Healthcare Finance: A Systematic Review of Privacy-Preserving Models.- AI-Induced Digital Addiction: Its Impact on Human Relationships within Healthcare 5.0 Ecosystems.- Real-Time Detection of Latent Infections Using LSTM and IoMT-Based Health Monitoring.- Federated Learning and Healthcare 5.0: Paving the Road Ahead for Privacy-Preserving Smart Health Systems.- Neuro-Symbolic Federated Learning Models for Diagnostic Intelligence in Healthcare 5.0.- Reducing Computational Overhead in Federated Learning: A Comprehensive Analysis.- Future Trends in Federated Learning: Enabling Secure and Personalized Healthcare Solutions.

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Book Synopsis.- HARNet: Human Activity Recognition with Spatial-temporal Features..- Wavelet-based Self-image Blending for More General Face Forgery Detection..- HCNQA: Enhancing 3D Visual Question-Answering with Hierarchical Concentration Narrowing Supervision..- Text-Image Encoder-based Contrastive Regression for AI-Generated Image Quality Assessment..- Deblurring with Improved Video Diffusion Model..- Understanding Image Classification Prediction with Any Segment Explanation..- F2Unet: F-shaped U-Net Architecture for Medical Image Segmentation Combining Fourier Transforms..- Efficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search..- Swin-DAG-VNet for Fetal Head Segmentation and Elliptical Parameter Regression for Circumference Measurement..- GPIS: Geometric Informed Polygon Prompt for Incision Segmentation..- Topological Enhancement Learning Module for Segmentation of Complex and Irregular Structures in 3D Medical Imaging..- Multi-Representation Adapter with Neural Architecture Search forEfficient Range-Doppler Radar Object Detection..- LPSF-LiDARNet: Log-Polar Spatiotemporal Fusion-Based LiDAR Point Cloud Semantic Segmentation for Autonomous Driving..- PSRDET: Fast Multimodal Detecton based on Prior Scene Repair for All-weather Road Sensing..- Art Style Backdoor Attacks on Semantic Segmentation Models..- CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection..- Generalized Object Detection in the Infrared Domain based on Common-Representation Learning..- Balance Discriminability and Integrality for Robust Salient Object Detection..- Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild..- Towards Context-Aware Compositional Zero-Shot Food Recognition via SalientFusion..- SparWR: A Lightweight Architecture for Medical Grayscale Image Super-Resolution..- PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification..- Sparse Attention Diffusion Model for Pathological Micrograph Deblurring..- RDIF: Infrared and Visible Image Fusion Based on Reverse Cross-Attention and Diffusion Model..- RDGE-6D: Reverse Direction Geometry Injection for 6D Pose Estimation..- YOLO11n BSS: Examination Room Behaviors Detection Based on Improved YOLO11n Model..- Efficient Long-Term Motion Feature Learning via Frequency-Based Key Frame Guidance for Action Recognition..- Region Expansion: Optimization of Patch-fetching Method for Point Cloud Denoising..- SAMTNU: Adaptive Segment Anything Model for Thyroid and Nodule Ultrasound Image Segmentation..- AgileIR: Memory-Efficient Group Shifted Windows Attention for Lightweight Image Restoration..- Constrained Learnable Channel-wise Normalization for Single-Source Domain Generalization in Medical Image Segmentation..- FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization..- Improving the Transferability of Point Cloud Attack via Spectral-aware Admix and Optimization Designs..- IHCP:Image Hiding against Blind Compression Based on Quality Prediction..- VideoPCDNet: Video Parsing and Prediction with Phase Correlation Networks..- Uncertainty Quantification in Video Distortion Classification under Dataset Shift..- PIMSeg: Point Cloud Segmentation via 2D Image Mapping and Multimodal Feature Integration..- Prototype-Guided Local Spatial Attention for Model Explanation..- Robustness Verification for Object Detectors using Set-Based Reachability Analysis..- Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation..- PaFi-GS: Gaussian Splatting via Propagation-Aware Filtering for Urban Street View Rendering..- Vision-Text Interaction with Orientation-Awareness for Referring Remote Sensing Image Segmentation..- U-FQA: A Unified Face Quality Assessment Score for Improved Unknown Identity Detection in Facial Recognition Systems..- DFU-Net: A Diffusion-based Fourier Neural Operator-aided U-Net Model for Medical Image Segmentation in Edge Devices..- An Enhanced Dual-Stream Architecture for State-of-the-Art Artist and Style Classification..- A Scene Text Detection Method Based on Supervised Contrastive Learning..- CM-MNet: A Coordinate Space-Aware Mamba-Based Multi-Task Model for 3D Fine Lesions in Elongated Structures Segmentation and Diagnosis in MS and NMOSD..- Problem-Driven and Shape-Guided: Multi-scale Deform KAN for X-shaped Anterior Visual Pathway Segmentation..- A Camouflaged Object Detection Network with Global Cross-space Perception and Flexible Local Feature Refinement Network..- See Beyond: Benchmarking MLLMs’ Visual Relational Reasoning Ability..- HeteroCap: Hierarchical Visual-Semantic Fusion with Heterogeneous Graphs for Image Captioning..- Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-Object Tracking..- Semantic Enhanced Interaction for Unsupervised Cross-modal Hashing Retrieval.

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Book Synopsis.- ACGCN: A Sequence-Attention-Based Graph Convolutional Model for Enhanced Recommendation Systems..- Hyperparameter-Free Bi-Level Knowledge Graph Optimization for Link Prediction..- SWIFT: State-space Wavelet Integrated Forecasting Technology for Enhanced Time Series Prediction..- Federated Privacy-Preserving for Cross-Domain Sequential Recommendation..- An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models..- Multimodal Sentiment Analysis with Parallel Attention and Correlation Fusion..- A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting..- Leveraging Machine-Translated Data for Sentiment Analysis in Low-Resource Languages: A Case Study on Bengal..- RRetFC: Leveraging Recursive Retrieval For LLM-Enhanced Complex Fact-Checking..- Feature-Aware Sequence Models for Tabular Data Processing with Missing Values..- Topic-Driven Hyper-Relational Knowledge Graphs with Adaptive Reconstruction for Multi-Hop Question Answering Using LLMs..- Toward Better Document-Level Relation Extraction: De-Sampling and Mixture of Experts in Action..- ConSens: Assessing context grounding in open-book question answering..- ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-grained Evaluation..- Emotional Text-to-Speech via Style Decoder with Emotion Shared Styleformer Block and RoPE Prior Encoder..- Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study..- Early Acoustic and Vision Cross-modal Interation Learning for Multimal Sentiment Analysis..- Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions..- Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems..- TimeFlowDiffuser: A Hierarchical Diffusion Framework with Adaptive Context Sampling for Multi-Horizon Time Series Forecasting..- ConDTab: Conditional Diffusion Transformer for Mixed-Type Tabular Synthesis with Dual Attention Latent Encoding..- SentiAug: Adaptive Keywords Replacement and Confidence-guided Self-training Selection for Robust Sentiment Classification..- Real-time and personalized product recommendations for large e-commerce platforms..- A Two-Stage Framework Integrating Prompt Learning and Fine-tuning for Code Summarization..- DialGACL: Nonlinear Graph Attention Reasoning with Contrastive Learning for Complex Dialogue Fact Verification..- TimbreAdv: Timbre Adversarial Attacks on Speaker Verification Systems..- Time Series Generation for Augmenting Multi-Channel Automotive Audio Data..- PGD: Probe Guided Decoding for Alignment.

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Book Synopsis.- Epilepsy Prediction based on Intra- and Inter-Channel Feature Mixing..- Fine-grained Recognition of Arteriovenous Fistula Stenosis Using Blood Flow Sounds: An Animal Model-Based Dataset and a Frequency-Aware Decoupling Network..- SMART-RetroNet: A Framework for Chemical Retrosynthesis Prediction..- Few-shot Learning for Syndrome Differentiation with Two Prompts..- Neural QSLIM for Mesh Autoencoders..- Evolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks..- Amortizing Personnalization in Virtual Brain Twins..- MPCCP:A Multi-chain Perception Crime Charge Prediction Method..- Beran Estimator Kernel Learning using Nearest-Neighbours and its Application to Reliability Analysis..- Conformalized Causal Learning for Uncertainty-Aware MineralProspectivity Mapping..- PhysMamba: Synergistic State Space Duality Model for Remote Physiological Measurement..- Proactive Depot Discovery: A Generative DRL Framework for Adaptive Location-Routing..- Learning Joint General and Specific Representation with Masked Auto-encoder for Radiology Report Generation..- Process Adaptive Learning for Visual-Language Navigation..- Audio-Driven Talking Head Generation with Emotion Based on FLAME Geometry Model..- Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals..- NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction..- CSM: Corn Instance Segmentation Model Fusing Dilated Residual Networks and Low-Rank Adaptation..- Sensor-Enhanced PINNs for Contaminant Dispersion Modeling..- Uniform Representation of Parametric CAD Models for Generative Application..- Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems..- KANLoc: WiFi Localization with A Lightweight KAN..- DualGF: Example-based Path Planning via Dual Gradient Fields..- Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions..- A Spiking Central Pattern Generator Capable of Adaptive Gait Control in Quadruped Locomotion..- ViSMoE: Visual-Aware Sparse Mixture-of-Experts for Embodied Referring Expression Grounding..- FDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning..- MENGLAN:Multiscale Enhanced Nonparametric Gas Analyzer with Lightweight Architecture and Networks..- Targeted trust-based merging of customers’ opinions..- DA-NeRF: High-Fidelity Talking Face Generation From Speech With Neural Radiance Fields..- Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering..- Accurate SDF Reconstruction with Geometric-Differential Regularization and Categorized Sampling Strategy..- Optimized Supervised Control of Stochastic Timed Discrete Event Systems using Supervisory Control Theory and Reinforcement learning..- A Classification Algorithm for Bronchiolitis Obliterans in Pediatric CT Images with Extreme Class Imbalance..- DISEncoder:A Dual-Branch Query Encoder Using Graph Models for Distributed Databases..- A Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement.

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Book Synopsis.- MRT-NAS: Boosting Training-free NAS via Manifold Regularization..- MSfusion: A Dynamic Model Splitting Approach for Resource Constrained Machines to Collaboratively Train Larger Models..- DeepCTL: Neural Branching-Time CTL Satisfiability Checking via Recursive Decision Trees..- MFMamba: A Hierarchical Weakly Causal Mamba with Multi-Scale Feature Fusion for Vision Tasks..- Characterizing trainability, expressivity and generalization of neural architecture with metrics from neural tangent kernel..- Unrolled Neural Adaptive Alternating Gradient Descent for NMF..- FedTP: Traceable Passport-based Ownership Verification for Federated Deep Neural Network Models..- Learning to Optimize Entropy in the Soft Actor-Critic..- Parallelizing Sharpness-Aware Minimization: A Semi-Asynchronous Small-Batch Approach..- Small transformer architectures for task switching..- Stochastic Covariance Regularization for Imbalanced Datasets..- Efficient Learning in Spiking Neural Networks - Introducing Feedback Alignment to the Reinforced Liquid State Machine..- Object-Centric Dreamer..- How Inductive Biases Affect OOD Generalization: An Investigation in Formal Language Recognition with Autoregressive Models..- Brain Generative Replay for Continual Learning..- Dynamic Ensembles Towards Out-Of-Distribution Generalization of Affect Models..- D2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model Robustness..- The Power of Max Pooling Layer..- Firing rates and representational error in efficient spiking networks are bounded by design..- CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization..- Cascade Pre-Attention: Regulating Neuronal Activation Distributions in MetaFormer-Based Spiking Neural Networks..- MTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-Task Learning..- Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach..- Improving Stability of Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning..- The Explainability-Performance Coefficient: A New Metric for Model Transparency..- GLFMamba-U: Global-Local Fused Mamba-Unet..- Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data..- Evaluating the Impact of Data Curation on Off-Policy Reinforcement Learning..- Enhancing Graph Neural Networks with Mixup-Based Knowledge Distillation..- A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers..- FedP2PAvg: A Peer-to-Peer Collaborative Framework for Federated Learning in Non-IID Scenarios..- Correcting the Modified Stochastic Synaptic Model of Synaptic Dynamics - Refinement of Vesicle and Neurotransmitters Functions..- Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient..- Efficient ReliefF: A low-power optimization of ReliefF for resource-constrained devices..- Enhancing Adversarial Robustness through Multi-Objective Representation Learning..- Trustworthy Learning with Noisy Labels..- Effect of Neuromodulation on the Brain Dynamical Repertoire..- Classification of large data sets by neural networks: A probabilistic viewpoint..- Identification and Realization of a Class of Discrete Event Systems by Neural Networks -Timed Petri Nets..- Dopamine-modulated Learning and Decision-making with Neuromorphic Computing..- A Unified Platform to Evaluate STDP Learning Rule and Synapse Model using Pattern Recognition in a Spiking Neural Network..- XOOD: A Self-Supervised Algorithm for Detecting Out-of-Distribution Data for Image Classification..- Perpetual Generation: Online Learning of Linear State-Space Models from a Single Stream..- Accelerating Spatiotemporal Learning with minConvRNNs..- Full Integer Arithmetic Online Training for Spiking Neural Networks..- Regularised Loss Function for Goal Recognition as a Deep Learning Task..- Improving Consistency Distillation with Rectified Trajectories..- Merging versus Separating Replay Samples in Continual Learning..- Signal-to-noise difference as a correlate of class learning in neural networks..- Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay..- Supervised feature selection with class self-representation..- Complexity and Criticality in Neuro-Inspired Reservoirs..- A Fokker-Planck Perspective on the Flow of Information in Continuous Memory Neural Networks.

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Book Synopsis.- Special Track: Logics for Explainable and Trustworthy AI..-  A Uniform Language for Safety, Robustness and Explainability..- Reinforcement Learning Meets Logic Programming: Towards Explainable AI..- Formal Explanations of Black-Box Ranking Functions..- Why This and not That? A Logic-based Framework for Contrastive Explanations..- Argumentation..- On the Sensitivity of Extension Semantics to Similarity..- SCC-recursiveness in Infinite Argumentation..- Completing Structured Arguments in Assumption-based Argumentation..- Constraint Satisfaction and Optimization..- Engineering and Evaluating Multi-objective Pseudo-Boolean Optimizers..- Unsupervised Automata Learning via Discrete Optimization..- Finding Short Tree-like Unit Refutations in UTVPI Constraint Systems..- Deontic Reasoning..- GL-based Calculi for PCL and its Deontic Cousin..- deon-B: A Language for Well-Founded Deontic Planning..- Dual Scale Detachment..- Description Logics and Ontological Reasoning..- Towards Practicable Defeasible Reasoning for ABoxes..- Closure-Based Tractable Possibilistic Inference from Partially Ordered DL-Lite Ontologies..- Higher-order and Non-classical Logics..- Strongly First Order Disjunctive Embedded Dependencies in Team Semantics..- A Kripke Semantics for Intuitionistic Lukasiewicz Logic with Weak Excluded Middle..- From Modal Ockham Algebras to Modal Berman Variety: Relational Semantics and Kripke-Completeness..- Logic Programming and Answer Set Programming..- Lazy Atom Discovery in Compilation-Based ASP Solving..- Encoding Action Reversibility In Planning Using Quantified ASP and Bule..- DIRT: a Literature-based Benchmark Suite for Grounders..- An Experiment with Anthem: Semantic Equivalence of Tiling Programs..- Generalizing the Syntax of Terms in Mini-gringo.

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Book Synopsis.- Non-monotonic Reasoning and Belief Change..- Comparing Dialectical Systems: Contradiction and Counterexample in Iterated Belief Revision..- The InfOCF Library for Reasoning with Conditional Belief Bases..- Lockean Beliefs that are Deductively Closed and Minimal Change..- Extending Defeasibility for Propositional Standpoint Logics..- Axiomatics of Restricted Choices by Linear Orders of Sets with Minimum as Fallback..- Propositional Reasoning, QBF, and Satisfiability Problems..- AxSAT - Bringing Axioms to SAT Planning..- On Extracting Legal Arguments..- Inclusion with Repetitions and Boolean Constants – Implication Problems Revisited..- Enhancing Query Efficiency for d-DNNF Representations Through Preprocessing..- Explanations of Unsatisfiability Beyond Minimal Subsets..- Refined Notions of QBF Equivalences..- Refinement-Based Enumeration of QBF Solutions..- Interpolating Parametric Array Theories..- Maximum Satisfiability Formulations for Nonlinear Integer Programming..- Exact Approaches for the Diverse Satisfiability Problem..- Temporal Reasoning..- A Framework for Computing Upper Bounds in Passive Learning Settings..- On Temporal References via Definite Descriptions in First-Order Monadic Logic of Order..- Alternating-Time Temporal Logic with Default Actions..- Theorem Proving..- Deciding Non-Fregean Identities: A Dual Tableau Approach..- Exposure and Hiding: Approaching the Objective Probability and Hiding the Secret in Zero-Knowledge Proof..- On a Second-Order Version of Russellian Theory of Definite Descriptions.

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Book Synopsis.- Optimization with Simulation and Swarm Intelligence: Inspiration from Nature.- S-RGM∗: A Sampling-Based Approach Using a Geometric Model for Path Planning of Unmanned Aerial Manipulators.- Enhanced Signal Processing for Echo Detection Using Support Vector Machine, Weber’s Law Features, and Local Descriptors (LDP and LOOP).- Usage of a Gaussian Process to Automatically Create a Reduced Model of the Particle Behavior in an Aerosol-on-Demand Printer.- Agents Environmental Impact: An Offline-Learning Prototype and Stationarity Evaluation, etc.

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Book Synopsis.- Cyber Security..- Enhancing Cross-Site Scripting Attack Detection in Web Applications with a Hybrid CNN-BiLSTM and Online Learning Approach..- Detection and Classification of Bypass (SIMBox) Fraud Using Deep Learning: A Case Study on Ethio-Telecom of Ethiopia..- AI in Medical, Biology & Sciology..- Automatic Detection of Fruit′s Spoilage Using Edge Devices..- Plant Disease Detection Using Digital Image Processing for Commonly Consumed Food Plants in Ethiopia: A Systematic Literature Review..- Systematic Review of Machine Learning Algorithms in Cystic Fibrosis Diagnosis..- Machine Learning Approaches for Predicting Gender Disparity in STEM Programs: Systematic Review..- Audio and Image Interpretation..- DeepFakesUG: Detecting Counterfeit Ugandan Banknotes Using Deep Learning..- Speaker Identification in Amharic Language Using Spectrogram Images: Exploring Deep Learning Techniques..- AI in Engineering..- A Survey on Task Offloading and Resource Provisioning Approaches in VFCNs..- Intelligent Fault Diagnosis Method for Bearings Using Deep Transfer Learning on Time-Series Vibration Data Under Varying Load Conditions..- Natural Language Processing, Text and Speech Processing..- Neural Machine Translation for Afaan Oromo - Amharic Language Pair Using Transformer and RNN (LSTM) Models..- Automatic Amharic-Tigrigna Translation Using Statistical Machine Translation Approach..- Developing Bidirectional English-Anuak Machine Translation using a Deep Learning Approach..- Automating Table of Contents Structuring: Leveraging GPT-3.5 and Donut for Efficient Document Indexing..- Semantically Corrected Amharic Automatic Speech Recognition.

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Book SynopsisDetection of Pneumonia Using VGG-16, MobileNetV2, and ResNet50 Convolutional Neural Networks.- Machine Learning Analysis of PM2.5 and NO2 Concentrations of Air Pollutants.- Impact of ECG Segmentation on Efficiency of Atrial Fibrillation Detection.- Application of 3D Scanning in Automotive Industry.- Application of Random Forest Method for Overhead Lines Magnetic Flux Density Estimation.- Comparative Analysis of PI and Fuzzy Logic Controllers in a MATLAB-Based Hand Rehabilitation Model.

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Book Synopsis.- Defensive Generative AI..- Offensive Generative AI: From Criminal LLMs to Deepfake-BasedDeception..- Emerging Countermeasures Against Offensive Generative AI..- Securing GenAI Deployments and Preventing Misuse..- Case Studies.

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Book SynopsisReversed Fusion Architecture Based on Spiking Neural Networks (RFSNN): For Dynamic Image Dataset Recognition.- Design and Implementation of Object Component Segmentation Algorithm Based on Improved PointNet++.- Application of the BERT and TextCNN Fusion Model in Chinese Sentiment Classification.- Legal Risks and Regulatory Paths of Generative Artificial Intelligence for Artificial IntelligenceTechnology.- Image Generation and Style Transfer Model Based on Generative Adversarial Network.

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Book Synopsis.- Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA)..- Scalable Hybrid Memory System for Long-Term Conversational Assistants in Healthcare..- CLIP in the field: a study of plant disease detection via zero-shot and fine-tuning..- Agent-based Social Simulator for Analyzing Well-being and Resources: an Integrated Approach for Vulnerable Rural Communities..- Digital Twins and Virtual Assistants for Proactive Long-Term Care: The SALUS Architecture..- Development of a method for calculating the parameters of an agricultural crop for a digital twin of plants..- Redefining Transportation Simulation: Multi-Agent Models Powered by LLMs..- Towards a Decentralized Digital Twin for Waste Collection Fleets..- Intelligent IoT Framework for Home Ambient Welfare..- Workshop on Deep Learning Applications (DeLA)..- Hybrid Neuro-Symbolic Learning Agents: A Graph-Theoretic Approach to Interpretable Reinforcement Learning..- An Explainable Approach to Predicting Academic Dropout: A Case Study at Faculdade Pernambucana de Saúde..- AI-Powered Automation in Healthcare: A Multi-Agent Approach with LLM..- TLPSC: A Particle Swarm Clustering Algorithm with Transfer Learning..- Towards Efficient Biogas Production: Deep Learning-Based Methane Forecasting in Anaerobic Digesters of Wastewater Treatment Plants..- Workshop on Digital Twinning for training purposes in Industry 4.0 (Twin4Train)..- Digital Twinning: Generative AI for Virtual Training Systems..- The Role of Collaboration in Virtual Quality Control Training: Effects on Engagement and Effectiveness..- RAI: Flexible Agent Framework for Embodied AI..- Towards The Generalization Of Developing 3D Objects For Extended Reality Training.

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Book SynopsisThe Role of Cloud Computing in Enhancing Collaborative Learning in Higher Education.- Enhancing Efficiency, Security and Patient Safety for NFC Card Based Pharmaceutical Inventory Management.- Analyzing DEI Initiatives in IT/ITES Organizations: A Comparative Study of Organizational Disclosures and Employee Perspectives.- Lane Departure Warning and Correction System with.- Air Quality Monitoring System Implementation Using ARIMA And LSTM.- An IoT based Real-Time Garbage Detection System using YOLOv8 and Raspberry Pi.- Augmented Reality Software for Design and Architecture.

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Book SynopsisAugmented Reality Software for Design and Architecture.- Inventory Management Challenges and Solutions for Essential Medicines in Rural Healthcare Facilities.- Deep Learning-Based Classification of Spine X-Ray Images Using.- V2X Communication for Enhanced Vehicular Safety.- Optimization of Routes of SDN Using GNN and DRL.- Leveraging Point Cloud Data for Autonomous Vehicle Systems: A Comprehensive Dataset Pipeline and ANN Model.- Brain Tumor Recognition and Classification based on MRI Images using deep learning.

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Book SynopsisRecent Advances in Deep Learning for Oral Cancer Identification and Classification.- An External Validation Framework for Machine Learning based Early Detection and Prediction of Surgical Site Infections.- Forecasting Stock Market Prices with Long Short-Term Memory (LSTM) Networks.- Comparative design of Antenna for Hexagonal and Triangular structure for 5G and beyond.- Medicinal Plant Classification using Machine Learning.- E-Voting System Using Blockchain App.- Mental Health Management with Emotion Detection using OpenCV.

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Book SynopsisA Comprehensive Review and Future Directions on Hybrid Detection Models for Phishing Websites.- AutoForest PlantBot: Autonomous Tree Plantation and Path Optimization for Sustainable Reforestation.- Optimizing Phishing Detection: A Robust Feature Selection using Hybrid GA-PSO.- Empowering Farmers Through Technology: A Java-Based Mobile Marketplace for Agricultural Trade.- Smile Prediction for Mental Health Monitoring.

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Book SynopsisAI Revolution in CAD: Pioneering the Future of Design.- PneumoSense: Smart Pneumonia Detection using Deep Learning.- Hybrid Machine Learning System for Recognizing Vehicle Number Plates in Hazy Environments is utilized for Safety and Security at Tourist Destinations.- Flood Rescue: An Integrated GIS and Remote Sensing-Based Decision Support System for Flood Inundation Warning and Relief.- ASSURANCE SAVING BLOCKCHAIN STRUCTURE FOR MEDICAL THE EXECUTIVES WITH RESPECT TO THE BOARD.

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Book SynopsisPerformance Enhancement of Deep Learning Techniques for Predicting Drug Reactions with Multi-Omics Data.- MOTORIZED SHAPING MACHINE.- TRACKING OF MATERIAL MANAGEMENT ON SITE BY USING ANALOGY BASED SYSTEM.- Lung Cancer Detection Using CNN.- Decoding Disease Through Pixels: A Deep Learning Approach to Image-Based Diagnosis.

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Book SynopsisYOLO-ViT: A Hybrid Deep Learning Model for Eye Disease Classification .- Machine Learning-Driven Adaptive Blockchain Security for IoT Devices.- Design of a Command Control Server Searching System Centered around DNS Analyses.- Enhancing OTP-Vote: Strengthening End-to-End Verifiability and Auditability with Machine Learning Techniques.

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Book SynopsisExplainable Deep Learning in Berry Classification through Attention Mechanisms and Grad-CAM.- AI-Driven Multimodal Evaluation of Communication Skills in Virtual Interviews.- Monsif: Automated Arabic Legal Judgment Prediction System for Egyptian Criminal Law.- A Novel Dimensionality Reduction Technique Based on Levels Analysis of Partially Ordered Sets.

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Book Synopsis.- Bioinspired robotics and biohybrids..- Thermo-responsive closing and reopening artificial Venus Flytraputilizing shape memory elastomers..- Biology Meets Design: From Observation to Computational Designthrough Interdisciplinary Approaches in Bio-Inspired Design..- A Low-Cost Split-Belt Treadmill for Studying Robotic Inter-LimbCoordination..- Dual-modal Biohybrid Origami Robot Actuated by Selective SkeletalMuscle Activation..- A Magnetically Actuated Crank-Slider Mechanism Embedded in aSwallowable Capsule..- Design and Validation of a Robotic Cat Hindlimb..- The Role of Passive Mechanics in Asymmetrically Actuated BioinspiredJoints..- Design and Control of a Rat Robot..- Biologically inspired collision avoidance on a 2-wheeled robot usingelementary movement detectors..- Sensorimotor control of motor dynamics adaptations: a computationalstudy on a human simulated arm..- Spike Activations: A Method to Produce a Continuum of Mean Forcesin BPAs..- Bio-inspired Open Knee Joint with Ligamentous Constraints andAntagonistic Actuation..- PB&J: Peanut Butter and Joints for Damped Articulation..- Hitting the ’Gym’: Reinforcement Learning for Control and Co-designof Exercise-Strengthened Biohybrid Robots in Simulation..- Soft robotics..- Design and development of an electronics-free earthworm robot..- Model to Model: Understanding the Venus Flytrap SnappingMechanism and Transferring it to a 3D-printed Bistable Soft RoboticDemonstrator..- A Bioinspired Aquatic Machine Mimicking Water Caltrop..- Investigating HASELs Actuators for Variable Stiffening in SoftContinuum Robots..- Renewable Self-Folding Origami Constructed from BioengineeredBacterial Cellulose..- A Highly Articulated Backbone for Soft Snake Robots..- Applications and machine learning..- When Plants Respond: Electrophysiology and Machine Learning forGreen Monitoring Systems..- Continual learning-based neuro-plausible framework for predictivemaintenance in complex engineering systems..- Training Neural Networks by Optimizing Neuron Positions..- Benchmarking ANN-to-SNN Conversion: Dataset-dependent Analysisof Accuracy, Latency, and Spike Efficiency..- Transforming Origami Sculpture for Exhibition at Art Festival..- Cognitive and computational neuroscience..- Are liquids part of embodiment?..- A Framework for the Examination of Awareness in Artificial Systems..- A biomimetic collision detection visual neural model coordinatingself-and-lateral inhibitions..- The Awareness Attribution Scale: Development, Validation, andShort-Form Reduction..- Trap avoidance: The Potential Neural Computations UnderlyingIntegration of Appetitive and Aversive Visual Memories in InsectNavigation..- Mismatched Partners in Human-Robot Interaction: Biomimetic Insightson Aligning Internal States with External Expressions..- Emotion Perception in Synthetic Aging: Divergent Insights fromHuman Perception and Algorithms..- Allostatic Control of Persistent States in Spiking Neural Networks forPerception and Computation..- Spike Timing Dependent Plasticity Organizes Type Ia Muscle Afferentsin a Synthetic Nervous System..- Disentangling Grasp-Object Representations in the Latent Space:Toward Brain-like Affordances for Machines..- Cybernetic Intervention in Stroke Neurorehabilitation..- Navigation, sensors, and perception..- Optical Waveguide-based Spider Web Enables Resilient ImpactDetection and Localization..- Visual Homing in Outdoor Robots Using Mushroom Body Circuits andLearning Walks..- Applying familiarity taxis to route and central place navigation tasks..- Investigating the potential for insect place learning using multi-scale CNNs..- Navigating temporally changing magnetic environments usingcombinations of magnetic field properties..- Efference copy control for MIMO systems with multiple different timedelays..- The impact of realistic eye anatomy on insect visual navigation models..- Ethics and responsibility..- Balancing Freedom and Responsibility to Accelerate Biohybrid Research..- Future ethics. Principles for governing bio-hybrid robotics in apost-biological world..- Biomechanics and proprioception..- Proprioceptive Motors as Emulators for Musculoskeletal Dynamics..- Study of the Basin of Attraction in Bird Passive Balance..- Musculoskeletal Dynamic Simulation of Frog Jumping Induced by theInteraction Between Leg Kicking and Trunk Snap-Through Buckling..- Pressure and Force Dynamics in Artificial Muscle Actuators: AState-Space and Optimization-Based Approach.

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Book Synopsis1. Introduction.- 2. Generative AI.- 3. Learning Programming.- 4. Code Generation.- Testing Code.- 6. Code Review.

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Book SynopsisNonlinear Dynamic Response and Stability of Quadrotor UAVs under Transient Impact Loading from Specialized Actuation Systems.- Analysis of Two Oscillating Airfoil Encountering Sinusoidal Motion.- Aerodynamic Design and Experimental Validation of Ailerons Downward Deflection in the Takeoff Configuration of a Civil Aircraft.- Comparison of Response Time for Pressure of Pintle Solid Rocket Motor under Different Controllers.- Experimental Study on the Spatial Characteristics of Hy-personic Gap-compression Ramp Shock Wave Bounda-ry/Layer Interaction.- Research on the Influence of Crosswind on the Inlet of Aircraft APU.

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Book SynopsisBuilding Legal Intelligence: Designing & Developing a Chatbot with LLM.- Unlocking Banking Insights: Big Data-Powered Artificial Neural Networks.- Deep Fake Detection Using Deep Learning.- Smart Surveillance: Real-Time Crowd Detection and Density Estimation with CNNs.- Enhanced Used Car Price Prediction Using Ensemble Machine Learning Techniques.- A Hybrid Approach using BERT and Machine Learning Model for Startup Valuation.- Detection of Neurodegenerative Disorders.- Enhanced Steganography: A Deep Learning Approach Using SENets and Self-Attention.- Hybrid Deep Learning Models for Enhanced Password Security Assessment.- A Decision Support System Using the SAW Method for Evaluating Teacher Performance in Vocational School.

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Book SynopsisModifying Gesture Recognition Using CNN algorithm  under Machine Learning.- Web-Based Automated Car Damage Detection  Using VGG16.- Machine Learning Approaches for Predictive and Early Detection of Mental Health Disorders.- A TOPSIS-Based Decision Support System for Selecting the Best Online Learning Platform.- Gestures Recognition using Android MediaPipe.- A hybrid approach for Efficient CPU Scheduling: Implementation of ML in Genetic Algorithm.-  Revolutionizing Charitable Giving: An Analysis of Digital Platforms and Advanced Technologies in  Fundraising.- A Framework for Automation of Signatures Using Encrypted Traffic Analysis and Machine Learning.- Enhancing Biometric Authentication: Advanced Fingerprint Recognition Using the SURF Algorithm.- Multi-Modal Medical Image Captioning for Enhanced Diagnostic Interpretation.

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Book SynopsisTraffic Board Detection Using Object Detection Algorithm.- Deep Learning Models for Predictive Maintenance in Aviation with Explainable AI using SHAP.- Assessment of E-Learning Effectiveness Using WP Method in a Decision Support System Framework.- Green IT and Sustainable Information Systems: Innovations, Challenges, and the Path to a Sustainable Digital Future.- Comprehensive Framework for Malware Detection Using Federated Learning with TLSH-Based Clustering.- Tomatoes Disease Detection Using  Machine Learning Algorithms.- AI System For Detecting Lung Diseases & Patient Management: Acoustic Diagnostics.- A Personalized Voice Assistant Approach Leveraging Generative AI.- Enhancing Deepfake Detection Generalization: A Scalable and Real-Time Detection.- Comprehensive Analysis and Enhanced Management Strategies for Cloud Data Breaches in Modern Enterprises.

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Book Synopsis.- The Impact of Technology and Artificial Intelligence oImproving Financial Management Performance..- Confronting Online Finance Scams with Vigilance, Regulations and Action..- Behavioral Arbitration for Effective Decision Making in Autonomous Vehicles by Using Deep Convolutional Neural Networks..- Privacy Preservation in Secure Multi-Cloud Data Fusion for Infectious Disease Analysis..- Analysing AI driven Bat algorithm to solve the Traveling Salesman problem..- Innovative and Hybrid Approach for Detection and Classification of Pancreatic Cancer from CT Scans Images using Deep Learning Model..- Optimizing Real-Time Facial Recognition Through Image Brightening and Feature Enhancement Techniques..- YOLOv5-Based Human Tracking System..- Automated Redaction Framework: Utilizing SpaCy and ChaCha20- Poly1305 for Secure Information Handling..- A Prediction and Optimization Model for Predicting Genetic Diseases in Crops..- Title Generation and Automated Topic Modeling in Academic Texts..- Using Machine Learning to Detect Fraudulent SMSs in Chichewa..- AI-Driven Mechanical Manufacturing: Bridging Industry 4.0 and the Human-Centric Vision of Industry 5.0..- Elevating Credit Risk Analysis with Cloud-Optimized Machine Learning Architectures..- Shan Handwritten Alphabet Recognition System: A Comparative Study of Machine Learning and Deep Learning Method..- Enhancing Attendance Management: A Novel Approach using Advanced Face Recognition Technology..- Optimizing ASR for Low-Resource Language: Fine-Tuning Wav2Vec2-XLSR for Gujarati..- MHC-CNN: A CNN Framework for Stream Selection in Secondary Education Using Modified Huffman Coding..- An Innovative Robopinody for Piano Performance using LEGO Mindstorms EV3..- Deep Learning Based YOLO-Face Model Design for High-Performance and Enhanced Face Landmark Detection..- Facial Expression Recognition for Individuals with Intellectual Disabilities using Machine Learning..- NSAP: A Neural Network-Based Stress Analysis Pipeline Using EEG Topographic Images..- Predicting Climate Temperature using Hybrid Models..- Smart Food Analysis: Machine Learning Model for Food Adulteration Detection and Pricing..- Data Visualization and Analysis on Ground Water of Samoda Chhattisgarh..- Towards Enhanced Word Spotting in Historical Devanagari Documents Using Deep CNN Architecture..- Text validation in NLP applications: A Chain of Responsibility approach.

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Book SynopsisPreface.- Introduction.- Overview.- First Order Necessary Conditions for Infinite Horizon Optimal Control Problems Under State Constraints.- Lipschitz Continuity of the Value Functions.- Hamilton-Jacobi-Bellman Equations with Time-Measurable Data and infinite Horizons.- Representation of Fiber-Convex Hamiltonian with Time-Measureable Data.- Appendix.

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Book SynopsisPrologue.- Chapter 1. Play.- Chapter 2. Intelligence.- Chapter 3. Soul.- Chapter 4. Language.- Chapter 5. Thought.- Chapter 6. Consciousness.- Chapter 7. Will.- Chapter 8. Meaning.- Chapter 9. Scale and Shape.- Chapter 10. Machines.- Epilogue - Philosophy.- Index.

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