Artificial Intelligence Applications and Innovations

Table of Contents

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   Book Overview
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   Chapter 1 A Second-Order Adaptive Decision Model for Proceeding or Terminating a Pregnancy
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   Chapter 2 A Self-adaptive Learning Music Composition Algorithm as Virtual Tutor
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   Chapter 3 Dynamic Big Data Drift Visualization of CPU and Memory Resource Usage in Cloud Computing
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   Chapter 4 On the Interplay of Interpersonal Synchrony, Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-adaptive Neural Agent Model
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   Chapter 5 When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport
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   Chapter 6 A Novel GBT-Based Approach for Cross-Channel Fraud Detection on Real-World Banking Transactions
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   Chapter 7 An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets
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   Chapter 8 Anomaly Detection Using Edge Computing AI on Low Powered Devices
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    Chapter 9 Enhanced Dependency-Based Feature Selection to Improve Anomaly Network Intrusion Detection
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    Chapter 10 HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection
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    Chapter 11 Random Forest Based on Federated Learning for Intrusion Detection
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    Chapter 12 Towards Semantic Modeling and Simulation of Cybersecurity on the Internet of Underwater Things
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    Chapter 13 An Efficient Deep Learning Framework for Face Mask Detection in Complex Scenes
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    Chapter 14 An Efficient Method for Addressing COVID-19 Proximity Related Issues in Autonomous Shuttles Public Transportation
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    Chapter 15 Automatic Semi-quantitative Histological Assessment of Tissue Traits Using a Smart Web Application
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    Chapter 16 MERLIN: Identifying Inaccuracies in Multiple Sequence Alignments Using Object Detection
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    Chapter 17 PigPose: A Realtime Framework for Farm Animal Pose Estimation and Tracking
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    Chapter 18 Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress
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    Chapter 19 The Bonsai Hypothesis: An Efficient Network Pruning Technique
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    Chapter 20 Deep Recurrent Neural Networks for OYO Hotels Recommendation
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    Chapter 21 Fine-Grained Double-View Link Prediction Within the Dynamic Interaction Network
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    Chapter 22 MTMA-DDPG: A Deep Deterministic Policy Gradient Reinforcement Learning for Multi-task Multi-agent Environments
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    Chapter 23 Reinforcement Learning Approach for Multi-period Inventory with Stochastic Demand
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    Chapter 24 The Neocortex-Inspired Locally Recurrent Neural Network (NILRNN) as a Model of the Primary Visual Cortex
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    Chapter 25 TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning
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    Chapter 26 Transformer-Based Zero-Shot Detection via Contrastive Learning
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    Chapter 27 Efficient Large-Scale Machine Learning Techniques for Rapid Motif Discovery in Energy Data Streams
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    Chapter 28 Energy Load Forecasting: Investigating Mid-Term Predictions with Ensemble Learners
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    Chapter 29 Machine Learning Techniques for Regression in Energy Disaggregation
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    Chapter 30 Biologically Plausible Complex-Valued Neural Networks and Model Optimization
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    Chapter 31 Comparative Study by Using a Greedy Approach and Advanced Bio-Inspired Strategies in the Context of the Traveling Thief Problem
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    Chapter 32 Exploring the Relationship Between Visual Information and Language Semantic Concept in the Human Brain
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    Chapter 33 Hierarchical Causality Network: Find the Effective Connectivity in Visual Cortex
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    Chapter 34 The Generalization of Selection of an Appropriate Artificial Neural Network to Assess the Effort and Costs of Software Projects
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    Chapter 35 Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection
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    Chapter 36 A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence
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    Chapter 37 An Analysis on Graph-Processing Frameworks: Neo4j and Spark GraphX
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    Chapter 38 Application of Graph-Based Technique to Identity Resolution
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    Chapter 39 Knowledge Engineering and Ontology for Crime Investigation
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    Chapter 40 Quantum Approach for Vertex Separator Problem in Directed Graphs
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    Chapter 41 Unsupervised Multi-sensor Anomaly Localization with Explainable AI