Engineering Applications of Neural Networks

Table of Contents

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   Book Overview
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   Chapter 1 Evaluating Acceleration Techniques for Genetic Neural Architecture Search
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   Chapter 2 Generation of Orthogonality for Feature Spaces in the Bio-inspired Neural Networks
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   Chapter 3 Route Scheduling System for Multiple Self-driving Cars Using K-means and Bio-inspired Algorithms
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   Chapter 4 SNNs Model Analyzing and Visualizing Experimentation Using RAVSim
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   Chapter 5 The Effectiveness of Synchronous Data-parallel Differentiable Architecture Search
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   Chapter 6 Automatic Accent and Gender Recognition of Regional UK Speakers
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   Chapter 7 Complex Layers of Formal Neurons
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   Chapter 8 Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods
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    Chapter 9 On Forecasting Project Activity Durations with Neural Networks
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    Chapter 10 On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes
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    Chapter 11 Supporting Patient Nutrition in Critical Care Units
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    Chapter 12 An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon
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    Chapter 13 Autoregressive Deep Learning Models for Bridge Strain Prediction
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    Chapter 14 Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification
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    Chapter 15 ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs
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    Chapter 16 Synopsis of Video Files Using Neural Networks
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    Chapter 17 TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks
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    Chapter 18 A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph
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    Chapter 19 Discriminant Analysis on a Stream of Features
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    Chapter 20 Learning Image Captioning as a Structured Transduction Task
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    Chapter 21 Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network
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    Chapter 22 Trend and Seasonality Elimination from Relational Data
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    Chapter 23 A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations
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    Chapter 24 An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning
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    Chapter 25 Human Activity Recognition Under Partial Occlusion
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    Chapter 26 Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19
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    Chapter 27 A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data
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    Chapter 28 Brain Tumour Segmentation on 3D MRI Using Attention V-Net
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    Chapter 29 Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice
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    Chapter 30 Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder
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    Chapter 31 Echo State Networks in Data Marketplaces for Digital Content Creation
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    Chapter 32 Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks
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    Chapter 33 Multi-track Transfer Reinforcement Learning for Power Consumption Management of Building Multi-type Air-Conditioners
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    Chapter 34 Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark
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    Chapter 35 A Robust, Quantization-Aware Training Method for Photonic Neural Networks
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    Chapter 36 Improving Binary Semantic Scene Segmentation for Robotics Applications
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    Chapter 37 Online Route Scheduling for a Team of Service Robots with MOEAs and mTSP Model
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    Chapter 38 Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles
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    Chapter 39 An Exploration of Semi-supervised Text Classification
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    Chapter 40 A Custom State LSTM Cell for Text Classification Tasks
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    Chapter 41 Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing
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    Chapter 42 Text Analysis of COVID-19 Tweets