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Engineering Applications of Neural Networks

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Cover of 'Engineering Applications of Neural Networks'

Table of Contents

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    Book Overview
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    Chapter 1 A Framework for Semi-Supervised Adaptive Learning for Activity Recognition in Healthcare Applications
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    Chapter 2 Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes
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    Chapter 3 Deep Imitation Learning with Memory for Robocup Soccer Simulation
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    Chapter 4 Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels
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    Chapter 5 RR-FCN: Rotational Region-Based Fully Convolutional Networks for Object Detection
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    Chapter 6 Face Detection for Crowd Analysis Using Deep Convolutional Neural Networks
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    Chapter 7 Smoothing Regularized Extreme Learning Machine
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    Chapter 8 Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character
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    Chapter 9 Machine Learning with the Pong Game: A Case Study
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    Chapter 10 Managing Congestion in Vehicular Networks Using Tabu Search
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    Chapter 11 Network Intrusion Detection on Apache Spark with Machine Learning Algorithms
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    Chapter 12 A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations
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    Chapter 13 Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signals
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    Chapter 14 Model Prediction of Defects in Sheet Metal Forming Processes
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    Chapter 15 Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques
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    Chapter 16 Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations
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    Chapter 17 Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
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    Chapter 18 Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease
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    Chapter 19 Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks
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    Chapter 20 Acceleration of Convolutional Networks Using Nanoscale Memristive Devices
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    Chapter 21 Comparison of Asymmetric and Symmetric Neural Networks with Gabor Filters
Attention for Chapter 1: A Framework for Semi-Supervised Adaptive Learning for Activity Recognition in Healthcare Applications
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Chapter title
A Framework for Semi-Supervised Adaptive Learning for Activity Recognition in Healthcare Applications
Chapter number 1
Book title
Engineering Applications of Neural Networks
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-98204-5_1
Book ISBNs
978-3-31-998203-8, 978-3-31-998204-5
Authors

Prankit Gupta, Praminda Caleb-Solly

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Researcher 3 13%
Student > Master 2 8%
Student > Bachelor 2 8%
Other 1 4%
Other 3 13%
Unknown 5 21%
Readers by discipline Count As %
Computer Science 12 50%
Engineering 2 8%
Economics, Econometrics and Finance 1 4%
Social Sciences 1 4%
Psychology 1 4%
Other 0 0%
Unknown 7 29%