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Applications of Optimization­ and Machine Learning in ­Image Processing and IoT
By Nidhi Gupta (Edited by)

Rating
Format
Paperback, 232 pages
Other Formats Available

Hardback : HK$1,100.00

Published
United Kingdom, 6 December 2023

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.

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 machine learning, and IoT and image processing field.

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 like machine learning in image processing and IoT

This book has been written considering 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.

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Our Price
HK$474
Ships from Australia Estimated delivery date: 6th May - 14th May from Australia
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Product Description

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.

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 machine learning, and IoT and image processing field.

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 like machine learning in image processing and IoT

This book has been written considering 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.

Show more
Product Details
EAN
9781032426600
ISBN
1032426608
Other Information
16 Tables, black and white; 44 Line drawings, black and white; 6 Halftones, black and white; 50 Illustrations, black and white
Dimensions
23.4 x 15.6 x 1.3 centimeters (0.38 kg)

Table of Contents

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

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.

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