Details

Subject(s)

• Computational intelligence [Browse]
• Artificial intelligence [Browse]
• Neural networks (Computer science). [Browse]

Editor

• Wani, M. A. (M. Arif) [Browse]
• Palade, Vasile [Browse]

Series

• Advances in Intelligent Systems and Computing, 1434 [More in this series]
• Advances in Intelligent Systems and Computing, 2194-5365 ; 1434 [More in this series]

Summary note

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.

Bibliographic references

Includes bibliographical references.

Contents

• 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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ISBN

981-19-6153-0

Doi

• 10.1007/978-981-19-6153-3

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