Artificial Intelligence and Cognitive Science

Table of Contents

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   Book Overview
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   Chapter 1 Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State
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   Chapter 2 A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis
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   Chapter 3 Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models
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   Chapter 4 Multi-Graph Convolutional Neural Network for Breast Cancer Multi-task Classification
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   Chapter 5 A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions
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   Chapter 6 Analysis of Attention Mechanisms in Box-Embedding Systems
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   Chapter 7 A Machine Learning Approach to Industry Classification in Financial Markets
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   Chapter 8 A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing
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    Chapter 9 Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques
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    Chapter 10 WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM
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    Chapter 11 A Data-Driven Analysis of Formula 1 Car Races Outcome
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    Chapter 12 Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
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    Chapter 13 Challenges Associated with the Adoption of Artificial Intelligence in Medical Device Software
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    Chapter 14 An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User Needs
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    Chapter 15 Comparison and Analysis of 3 Key AI Documents: EU’s Proposed AI Act, Assessment List for Trustworthy AI (ALTAI), and ISO/IEC 42001 AI Management System
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    Chapter 16 AI and ML in School Level Computing Education: Who, What and Where?
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    Chapter 17 Author Gender Identification Considering Gender Bias
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    Chapter 18 Identity Term Sampling for Measuring Gender Bias in Training Data
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    Chapter 19 How Augmented Reality Beauty Filters Can Affect Self-perception
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    Chapter 20 Privacy-Enhanced ZKP-Inspired Framework for Balanced Federated Learning
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    Chapter 21 Automatic Vehicle Ego Body Extraction for Reducing False Detections in Automated Driving Applications
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    Chapter 22 Recommendation Uncertainty in Implicit Feedback Recommender Systems
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    Chapter 23 Graph-Based Diffusion Method for Top-N Recommendation
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    Chapter 24 CouRGe: Counterfactual Reviews Generator for Sentiment Analysis
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    Chapter 25 Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Face Embedding
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    Chapter 26 Intelligent Image Compression Using Traffic Scene Analysis
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    Chapter 27 Aerial Object Detection for Water-Based Search & Rescue
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    Chapter 28 Cryptocurrency Volatility Index: An Efficient Way to Predict the Future CVI
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    Chapter 29 Exploring Abstractive vs. Extractive Summarisation Techniques for Sports News
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    Chapter 30 Automatic Linking of Podcast Segments to Topically Related Webpages
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    Chapter 31 A Large Neighborhood Search Approach for the Data Centre Machine Reassignment Problem
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    Chapter 32 Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems
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    Chapter 33 Explaining the Effects of Preprocessing on Constraint Satisfaction Search
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    Chapter 34 Variable-Relationship Guided LNS for the Car Sequencing Problem
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    Chapter 35 Unimodal and Multimodal Representation Training for Relation Extraction
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    Chapter 36 Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives
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    Chapter 37 Computational Phenotyping of Decision-Making over Voice Interfaces
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    Chapter 38 Latent Space Cartography for Geometrically Enriched Latent Spaces
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    Chapter 39 Personalised Filter Bias with Google and DuckDuckGo: An Exploratory Study
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    Chapter 40 Entity Resolution for Multiple Sources with Extended Approach
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    Chapter 41 Safe Lane-Changing in CAVs Using External Safety Supervisors: A Review