Engineering Applications of Neural Networks

Table of Contents

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   Book Overview
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   Chapter 1 A Machine Learning Approach for Seismic Vulnerability Ranking
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   Chapter 2 Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods
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   Chapter 3 Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm
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   Chapter 4 Towards Improved User Experience for Artificial Intelligence Systems
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   Chapter 5 A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials
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   Chapter 6 Balancing High-Dimensional Datasets with Complex Layers
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   Chapter 7 BotDroid: Permission-Based Android Botnet Detection Using Neural Networks
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   Chapter 8 Classification of Time Signals Using Machine Learning Techniques
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    Chapter 9 Conductivity Classification Using Machine Learning Algorithms in the “Bramianon” Dam
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    Chapter 10 Generation of Bases for Classification in the Bio-inspired Layered Networks
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    Chapter 11 Load-Shedding Management in a Smart Grid Architecture Through Smart Metering
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    Chapter 12 MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data
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    Chapter 13 Multi-view Semi-supervised Learning Using Privileged Information
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    Chapter 14 A Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth
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    Chapter 15 Knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction
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    Chapter 16 Optimal Traffic Flow Distributions on Dynamic Networks
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    Chapter 17 Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection
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    Chapter 18 User Equilibrium and System Optimality Conditions for Flow Distributions on Congested Networks
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    Chapter 19 Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections
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    Chapter 20 Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch
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    Chapter 21 Hierarchical Prediction in Incomplete Submetering Systems Using a CNN
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    Chapter 22 Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning
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    Chapter 23 Advanced Skin Cancer Detection Using Deep Learning
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    Chapter 24 Cross-Learning-Based Sales Forecasting Using Deep Learning via Partial Pooling from Multi-level Data
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    Chapter 25 Discrimination of Attention Deficit Hyperactivity Disorder Using Capsule Networks and LSTM Networks on fMRI Data
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    Chapter 26 Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning
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    Chapter 27 LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece
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    Chapter 28 Object Detection for Functional Assessment Applications
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    Chapter 29 Performance Analysis of Digit Recognizer Using Various Machine Learning Algorithms
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    Chapter 30 Towards Automatic Assessment of Quiet Standing Balance During the Execution of ADLs
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    Chapter 31 Adaptive Model for Industrial Systems Using Echo State Networks
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    Chapter 32 DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics
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    Chapter 33 Residual Error Learning for Electricity Demand Forecasting
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    Chapter 34 Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms
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    Chapter 35 Verification of Neural Networks Meets PLC Code: An LHC Cooling Tower Control System at CERN
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    Chapter 36 Virtual Flow Meter for an Industrial Process
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    Chapter 37 Wind Energy Prediction Guided by Multiple-Location Weather Forecasts
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    Chapter 38 An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems
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    Chapter 39 Deep Transfer Learning Application for Intelligent Marine Debris Detection
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    Chapter 40 Forecasting Functional Time Series Using Federated Learning
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    Chapter 41 Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis
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    Chapter 42 Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination
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    Chapter 43 Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines
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    Chapter 44 Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis
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    Chapter 45 Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks
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    Chapter 46 A Novel Neural Network-Based Recommender System for Drug Recommendation
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    Chapter 47 DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks
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    Chapter 48 Evaluating the Extraction of Toxicological Properties with Extractive Question Answering
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    Chapter 49 Semi-automated System for Pothole Detection and Location