Recent Advances in Deep Learning Applications

New Techniques and Practical Examples

Uche Onyekpe, Vasile Palade, M. Arif Wani

• Publisher: Chapman and Hall/CRC
• Year: 2025
• eBook ISBN: 9781040324400
• Topic: Technology & Engineering
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Technology & Engineering

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

Table of contents

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Contents
• Preface
• Editors
• List of Contributors
• Part One Deep Learning for Computer Vision
• Part Two Deep Learning for Natural Language Processing
• Part Three Deep Learning for Real-World Predictive Modeling
• Part Four Deep Learning Methodological Approaches in Other Applications
• Index