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.
Edited by:
Nidhi Gupta (National Institute of Technology Kurukshetra India)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 439g
ISBN: 9781032426600
ISBN 10: 1032426608
Pages: 220
Publication Date: 01 December 2023
Audience:
College/higher education
,
Primary
Format: Paperback
Publisher's Status: Active
CHAPTER1 State-of-the-Art on Evolved Optimization Approaches for Damage Detection in Steel Bridges ANSHUL SHARMA CHAPTER2 IoT and Its Advancement ANUBHAV KUMAR PRASAD, DHARM RAJ SINGH AND ABHISHEK KESHARWANI CHAPTER3 Optimal Configuration of IOT Cluster with Full Connectivity with Minimum Transmission Power Using SA and BO Algorithms SOWJANYA KOTTE AND SATISH KUMAR INJETI CHAPTER4 IoT Optimization for Smart Cities and Mobility in Smart Cities NISHA DEVI AND NEHA KISHORE CHAPTER5 Application of the Internet of Things in E-Waste Management SMRITI SNEHIL, OJASWI VINDHYACHALAM AND KAMALESH KUMAR SINGH CHAPTER6 Power of IoT in Smart Healthcare Systems CHINU AND URVASHI BANSAL CHAPTER7 Verification Scheme for Malicious Routing in the Internet of Things BHARTI SHARMA, SAKSHI PATNI AND SUMIT KUMAR MAHANA CHAPTER8 Agricultural Applications Using Artificial Intelligence and Computer Vision Technologies CHITRANJAN KUMAR RAI AND ROOP PAHUJA CHAPTER9 Artificial Intelligence-Based Smart Identi cation System Using Herbal Images: Decision Making Using Various Machine Learning Models SANYAM SHARMA, SUBH NAMAN, JAYESH DWIVEDI AND ASHISH BALDI CHAPTER10 CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features MUZAMMIL KHAN, PUSHPENDRA KUMAR AND NITISH KUMAR MAHALA CHAPTER11 Early Prediction of Cardiac Diseases Using Ensemble Learning Techniques: A-Machine Learning Technique to Deal with Heart Disease Problems RIMA SEN AND A. MANIMARAN
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.
