Deep Learning Applications, Volume 2

✍ Scribed by M. Arif Wani, Taghi M. Khoshgoftaar, Vasile Palade

Publisher: Springer Singapore;Springer
Year: 2021
Tongue: English
Leaves: 307
Series: Advances in Intelligent Systems and Computing 1232
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

✦ Table of Contents

Front Matter ....Pages i-xii
Deep Learning-Based Recommender Systems (Meshal Alfarhood, Jianlin Cheng)....Pages 1-23
A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images (Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli)....Pages 25-48
Three-Stream Convolutional Neural Network for Human Fall Detection (Guilherme Vieira Leite, Gabriel Pellegrino da Silva, Helio Pedrini)....Pages 49-80
Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM) (Russell Sabir, Daniele Rosato, Sven Hartmann, Clemens Gühmann)....Pages 81-99
Automatic Solar Panel Detection from High-Resolution Orthoimagery Using Deep Learning Segmentation Networks (Tahir Mujtaba, M. Arif Wani)....Pages 101-122
Training Deep Learning Sequence Models to Understand Driver Behavior (Shokoufeh Monjezi Kouchak, Ashraf Gaffar)....Pages 123-141
Exploiting Spatio-Temporal Correlation in RF Data Using Deep Learning (Debashri Roy, Tathagata Mukherjee, Eduardo Pasiliao)....Pages 143-172
Human Target Detection and Localization with Radars Using Deep Learning (Michael Stephan, Avik Santra, Georg Fischer)....Pages 173-197
Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data (Justin M. Johnson, Taghi M. Khoshgoftaar)....Pages 199-227
Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach (Uche Onyekpe, Stratis Kanarachos, Vasile Palade, Stavros-Richard G. Christopoulos)....Pages 229-248
Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification (Abdullah-Al-Zubaer Imran, Demetri Terzopoulos)....Pages 249-271
Non-convex Optimization Using Parameter Continuation Methods for Deep Neural Networks (Harsh Nilesh Pathak, Randy Clinton Paffenroth)....Pages 273-298
Back Matter ....Pages 299-300

✦ Subjects

Engineering; Computational Intelligence; Communications Engineering, Networks

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