Recent Advances in Deep Learning Applications: New Techniques and Practical Examples (1)

Synopsis

This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023). It focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. Key Features: Presents state-of-the-art research on deep learning Covers modern real-world applications of deep learning Provides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers.

Copyright:

2025

Book Details

Book Quality:

Publisher Quality

Book Size:

374 Pages

ISBN-13:

9781040324400

Related ISBNs:

9781040323977, 9781003570882, 9781032944623

Publisher:

CRC Press

Date of Addition:

11/19/25

Copyrighted By:

selection and editorial matter, Uche Onyekpe, Vasile Palade, and M. Arif Wani

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Uche Onyekpe

Edited by:

Vasile Palade

Edited by:

M. Arif Wani