Description
Product ID: | 9781032426600 |
Product Form: | Paperback / softback |
Country of Manufacture: | GB |
Title: | Applications of Optimization and Machine Learning in Image Processing and IoT |
Authors: | Author: Nidhi Gupta |
Page Count: | 220 |
Subjects: | Probability and statistics, Probability & statistics, Optimization, Electrical engineering, Automatic control engineering, Digital and information technologies: Legal aspects, Internet guides and online services, Computer hardware, Databases, Artificial intelligence, Machine learning, Image processing, Optimization, Electrical engineering, Automatic control engineering, Legal aspects of IT, Internet guides & online services, Computer hardware, Databases, Artificial intelligence, Machine learning, Image processing |
Description: | Select Guide Rating 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. |
Imprint Name: | Chapman & Hall/CRC |
Publisher Name: | Taylor & Francis Ltd |
Country of Publication: | GB |
Publishing Date: | 2023-12-01 |