Applications of Optimization and Machine Learning in Image Processing and IoT
1st Edition
Published on 1. December 2023
Book
Hardback
220 pages
978-1-032-42909-0 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate and Undergraduate Advanced
Illustrations
16 s/w Tabellen, 50 s/w Abbildungen, 6 s/w Photographien bzw. Rasterbilder, 44 s/w Zeichnungen
16 Tables, black and white; 44 Line drawings, black and white; 6 Halftones, black and white; 50 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 17 mm
Weight
526 gr
ISBN-13
978-1-032-42909-0 (9781032429090)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
12/2023
1st Edition
Chapman & Hall/CRC
€72.49
Available for download
E-Book
12/2023
1st Edition
Chapman & Hall/CRC
€72.49
Available for download
Book
12/2023
1st Edition
Chapman & Hall/CRC
€78.40
Shipment within 10-20 days
Person
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.
Content
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
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