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Pattern Recognition and Artificial Intelligence

Overview of attention for book
Cover of 'Pattern Recognition and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Room-Level Indoor Localization with Artificial Neural Networks
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    Chapter 2 A Simple Authentication Method with Multilayer Feedforward Neural Network Using Keystroke Dynamics
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    Chapter 3 A Comparative Study of ANN Tuning Methods for Multiclass Daily Activity and Fall Recognition
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    Chapter 4 Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classification
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    Chapter 5 Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification
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    Chapter 6 Determining Location and Detecting Changes Using a Single Training Video
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    Chapter 7 Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training
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    Chapter 8 Human Action Recognition Using Stereo Trajectories
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    Chapter 9 Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes Under Variable Speed
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    Chapter 10 Bayesian Convolutional Neural Network: Robustly Quantify Uncertainty for Misclassifications Detection
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    Chapter 11 Particle Filter for Trajectories of Movers from Laser Scanned Dataset
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    Chapter 12 Video Steganography Using 3D Convolutional Neural Networks
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    Chapter 13 DeepRank: Adapting Neural Tensor Networks for Ranking the Recommendations
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    Chapter 14 An Intelligent Context Aware Recommender System for Real-Estate
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    Chapter 15 Integration of Fuzzy Clustering into the Case Base Reasoning for the Prediction of Response to Immunotherapy Treatment
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    Chapter 16 Music Generation Using an Interactive Evolutionary Algorithm
Overall attention for this book and its chapters
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Mentioned by

patent
1 patent

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Pattern Recognition and Artificial Intelligence
Published by
Springer International Publishing, March 2020
DOI 10.1007/978-3-030-37548-5
ISBNs
978-3-03-037547-8, 978-3-03-037548-5
Editors

Djeddi, Chawki, Jamil, Akhtar, Siddiqi, Imran

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%