Deep learning applications. Volume 4 / M. Arif Wani, Vasile Palade, editors.
International Conference on Machine Learning and Applications (20th : 2021 : Pasadena, Calif.).; Wani, M. A. (M. Arif), editor.; Palade, Vasile, 1964- editor.
2023
Q325.73
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Title
Deep learning applications. Volume 4 / M. Arif Wani, Vasile Palade, editors.
Meeting Name
International Conference on Machine Learning and Applications (20th : 2021 : Pasadena, Calif.).
ISBN
9789811961533 (electronic bk.)
9811961530 (electronic bk.)
9789811961526
9811961522
DOI
https://doi.org/10.1007/978-981-19-6153-3
Published
Singapore : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xiv, 384 pages) : illustrations (chiefly color).
Item Number
10.1007/978-981-19-6153-3 doi
Call Number
Q325.73
Dewey Decimal Classification
006.3/1
Summary
This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
Note
International conference proceedings.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Wani, M. A. (M. Arif), editor.
Palade, Vasile, 1964- editor.
Series
Advances in intelligent systems and computing ; 1434.
Available in Other Form
Deep learning applications. Volume 4.
Linked Resources
Online Access
Record Appears in
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All Resources
Identification of Human Papillomavirus from Super Resolution Microscopic Images Generated Using Deep Learning Architectures
Evaluation of Sequential and Temporally-Embedded Deep Learning Models for Health Outcome Prediction
Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions
Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings
A Comprehensive Analysis of Aspect Oriented Suggestion Extraction from Online Reviews.

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