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Deep Learning Applications, Volume 2 (Paperback)

by M. Arif Wani|Taghi M. Khoshgoftaar|Vasile Palade

Springer

Paperback 300 pages English Sep 27, 2021

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Deep Learning Based Recommender Systems.- A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images.- Three-Stream Convolutional Neural Network for Human Fall Detection.- Diagnosis of Bearing Faults in Electrical Machines using Long Short-Term Memory.- Automatic Solar Panel Detection from High Resolution Orthoimagery Using Deep Learning Segmentation Networks.- Training Deep Learning Sequence Models to Understand Driver Behavior.- Exploiting Spatio-temporal Correlation in RF Data using Deep Learning.- Human Target Detection and Localization with Radars Using Deep Learning.- Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data.- Vehicular Localisation at High and Low Estimation Rates during GNSS Outages: A Deep Learning Approach.- Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification.- Non-convex Optimization using Parameter Continuation Methods for Deep Neural Networks.
Author:
M. Arif Wani|Taghi M. Khoshgoftaar|Vasile Palade
Publisher:
Springer
Publication Date:
Sep 27, 2021
Number of pages:
300 pages
Language:
English
Binding:
Paperback
ISBN-10:
9811567611
ISBN-13:
9789811567612