Applications of Optimization and Machine Learning in Image Processing and IoT by Nidhi Gupta

£48.99
Available
Product Ref. (e.g. ISBN, SKU)
9781032426600
Published:
01 Dec 2023
Format:
Paperback
Number of pages:
220 pages
Dimensions:
234x235x17mm
Weight:
0.439kgs
Author:
This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics such as optimization, algorithms, machine learning in image processing and IoT.

This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT.

Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing.

KEY FEATURES:

Includes fundamental concepts towards advanced applications in machine learning and IoT.

Discusses potential and challenges of machine learning for IoT and optimization

Reviews recent advancements in diverse researches on computer vision, networking and optimization field.

Presents latest technologies such as machine learning in image processing and IoT

This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

About the Author: Nidhi Gupta is an Assistant Professor in the Department of Computer Applications at the National Institute of Technology, Kurukshetra, India. Before this appointment she was a Post-Doctoral Researcher at the National Laboratory of Pattern Recognition, Institute of Automation,Chinese Academy of Sciences, Beijing, China.

More Information
Number of pages 220

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