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Artificial Intelligence Applications and Innovations

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Table of Contents

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    Book Overview
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    Chapter 1 A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves
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    Chapter 2 A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading
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    Chapter 3 Algorithmic Forex Trading Using Q-learning
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    Chapter 4 Control of a Water Tank System with Value Function Approximation
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    Chapter 5 Decentralized Multi Agent Deep Reinforcement Q-Learning for Intelligent Traffic Controller
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    Chapter 6 Deep Learning Based Employee Attrition Prediction
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    Chapter 7 Deep Reinforcement Learning for Robust Goal-Based Wealth Management
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    Chapter 8 DeNISE: Deep Networks for Improved Segmentation Edges
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    Chapter 9 Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network
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    Chapter 10 Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition
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    Chapter 11 Enhancing Medication Event Classification with Syntax Parsing and Adversarial Learning
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    Chapter 12 Generating Synthetic Vehicle Speed Records Using LSTM
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    Chapter 13 Measuring the State-Observation-Gap in POMDPs: An Exploration of Observation Confidence and Weighting Algorithms
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    Chapter 14 Predicting Colour Reflectance with Gradient Boosting and Deep Learning
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    Chapter 15 The Importance of the Current Input in Sequence Modeling
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    Chapter 16 Towards Historical Map Analysis Using Deep Learning Techniques
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    Chapter 17 Analysis of the Lingering Effects of Covid-19 on Distance Education
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    Chapter 18 Exploring the Power of Failed Experiences in Case-Based Reasoning for Improved Decision Making
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    Chapter 19 Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing
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    Chapter 20 Mind the Gap: Addressing Incompleteness Challenge in Case-Based Reasoning Applications
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    Chapter 21 Sentiment Analysis of Tweets on Online Education during COVID-19
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    Chapter 22 Image Classification Using Class-Agnostic Object Detection
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    Chapter 23 Ince-PD Model for Parkinson’s Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score
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    Chapter 24 Medical Knowledge Extraction from Graph-Based Modeling of Electronic Health Records
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    Chapter 25 Predicting ALzheimer's Disease with AI and Brain Imaging Data
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    Chapter 26 Pre-trained Model Robustness Against GAN-Based Poisoning Attack in Medical Imaging Analysis
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    Chapter 27 Semi-supervised Brain Tumor Segmentation Using Diffusion Models
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    Chapter 28 A Methodology for Emergency Calls Severity Prediction: From Pre-processing to BERT-Based Classifiers
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    Chapter 29 A Temporal Metric-Based Efficient Approach to Predict Citation Counts of Scientists
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    Chapter 30 Comparing Vectorization Techniques, Supervised and Unsupervised Classification Methods for Scientific Publication Categorization in the UNESCO Taxonomy
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    Chapter 31 Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviour in Predictive Response Modeling
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    Chapter 32 Exploring Pairwise Spatial Relationships for Actions Recognition and Scene Graph Generation
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    Chapter 33 Fake News Detection Utilizing Textual Cues
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    Chapter 34 Fusion of Learned Representations for Multimodal Sensor Data Classification
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    Chapter 35 Hyperspectral Classification of Recyclable Plastics in Industrial Setups
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    Chapter 36 Mining the Discussion of Monkeypox Misinformation on Twitter Using RoBERTa
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    Chapter 37 Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla
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    Chapter 38 Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification
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    Chapter 39 Predicting Student Performance with Virtual Resources Interaction Data
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    Chapter 40 Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation
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    Chapter 41 3D Attention Based YOLO-SWINF for Real-Time Video Object Detection
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    Chapter 42 Analysis of Data Augmentation Techniques for Mobile Robots Localization by Means of Convolutional Neural Networks
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    Chapter 43 Intrusion Detection Using Attention-Based CNN-LSTM Model
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    Chapter 44 Real-Time Arabic Digit Spotting with TinyML-Optimized CNNs on Edge Devices
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    Chapter 45 Sleep Disorder Classification Using Convolutional Neural Networks
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    Chapter 46 The Effect of Tensor Rank on CNN’s Performance
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    Chapter 47 Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking
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Title
Artificial Intelligence Applications and Innovations
Published by
Springer Nature Switzerland, July 2023
DOI 10.1007/978-3-031-34111-3
ISBNs
978-3-03-134110-6, 978-3-03-134111-3
Editors

Maglogiannis, Ilias, Iliadis, Lazaros, MacIntyre, John, Dominguez, Manuel

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