Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications (1) (Materials, Devices, and Circuits)

Synopsis

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science.Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body.The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.

Copyright:

2026

Book Details

Book Quality:

Publisher Quality

Book Size:

196 Pages

ISBN-13:

9781040359716

Related ISBNs:

9781003473442, 9781032753249, 9781040359693

Publisher:

CRC Press

Date of Addition:

08/19/25

Copyrighted By:

selection and editorial matter, Ravichander Janapati, Usha Desai, Steven Fernandes, Rakesh Sengupta, Shubham Tayal

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Ravichander Janapati

Edited by:

Usha Desai

Edited by:

Steven L Fernandes

Edited by:

Rakesh Sengupta

Edited by:

Shubham Tayal