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Engineering Applications of Neural Networks

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Table of Contents

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    Book Overview
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    Chapter 1 The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data
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    Chapter 2 A Benchmark Framework to Evaluate Energy Disaggregation Solutions
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    Chapter 3 Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting
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    Chapter 4 Modelling of Compressors in an Industrial CO $$_2$$ -Based Operational Cooling System Using ANN for Energy Management Purposes
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    Chapter 5 Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0
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    Chapter 6 Reservoir Computing Approaches Applied to Energy Management in Industry
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    Chapter 7 Signal2Vec: Time Series Embedding Representation
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    Chapter 8 Classification of Sounds Indicative of Respiratory Diseases
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    Chapter 9 Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning
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    Chapter 10 Severe Asthma Exacerbations Prediction Using Neural Networks
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    Chapter 11 A New Generalized Neuron Model Applied to DNA Microarray Classification
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    Chapter 12 A Hybrid Approach for the Fighting Game AI Challenge: Balancing Case Analysis and Monte Carlo Tree Search for the Ultimate Performance in Unknown Environment
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    Chapter 13 A Probabilistic Graph-Based Method to Improve Recommender System Accuracy
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    Chapter 14 A Robust Deep Ensemble Classifier for Figurative Language Detection
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    Chapter 15 Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms
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    Chapter 16 Imaging Time-Series for NILM
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    Chapter 17 Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders
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    Chapter 18 Pruning Extreme Wavelets Learning Machine by Automatic Relevance Determination
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    Chapter 19 Students’ Performance Prediction Model Using Meta-classifier Approach
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    Chapter 20 A Deep Network System for Simulated Autonomous Driving Using Behavioral Cloning
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    Chapter 21 A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture
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    Chapter 22 Deep Learning and Change Detection for Fall Recognition
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    Chapter 23 Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images
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    Chapter 24 L earnae : Distributed and Resilient Deep Neural Network Training for Heterogeneous Peer to Peer Topologies
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    Chapter 25 Predicting Customer Churn Using Artificial Neural Network
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    Chapter 26 Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers
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    Chapter 27 Canonical Correlation Analysis Framework for the Reduction of Test Time in Industrial Manufacturing Quality Tests
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    Chapter 28 Convolutional Neural Network for Detection of Building Contours Using Multisource Spatial Data
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    Chapter 29 A Meta-multicriteria Approach to Estimate Drought Vulnerability Based on Fuzzy Pattern Recognition
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    Chapter 30 Bioinspired Early Prediction of Earthquakes Inferred by an Evolving Fuzzy Neural Network Paradigm
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    Chapter 31 Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda
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    Chapter 32 Evolutionary Optimization on Artificial Neural Networks for Predicting the User’s Future Semantic Location
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    Chapter 33 Global Minimum Depth in Edwards-Anderson Model
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    Chapter 34 Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms
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    Chapter 35 Improvement of Routing in Opportunistic Communication Networks of Vehicles by Unsupervised Machine Learning
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    Chapter 36 Machine Learning Approach for Drone Perception and Control
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    Chapter 37 A Deep Dense Neural Network for Bankruptcy Prediction
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    Chapter 38 Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market
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    Chapter 39 Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM
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    Chapter 40 Comparison of Network Intrusion Detection Performance Using Feature Representation
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    Chapter 41 Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE)
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    Chapter 42 Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network
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    Chapter 43 On Predicting Bottlenecks in Wavefront Parallel Video Coding Using Deep Neural Networks
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    Chapter 44 Recognizing Human Actions Using 3D Skeletal Information and CNNs
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    Chapter 45 Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network
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    Chapter 46 Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation
Overall attention for this book and its chapters
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Mentioned by

15 tweeters
1 Facebook page


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46 Mendeley
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Engineering Applications of Neural Networks
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-20257-6
978-3-03-020256-9, 978-3-03-020257-6

Macintyre, John, Iliadis, Lazaros, Maglogiannis, Ilias, Jayne, Chrisina

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 28%
Student > Ph. D. Student 12 26%
Researcher 7 15%
Student > Bachelor 4 9%
Lecturer 1 2%
Other 1 2%
Unknown 8 17%
Readers by discipline Count As %
Computer Science 17 37%
Engineering 11 24%
Economics, Econometrics and Finance 2 4%
Physics and Astronomy 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 13 28%