000			03851nam a22002657a 4500
005			20251104111121.0
008			251102b |||||||| |||| 00| 0 eng d
020			_a9781032621081
082			_a610.285 _bSEL
245			_aIoT and machine learning for smart applications
260			_aBoca Raton _bChapman & Hall Book _c2025
300			_axi, 198 p.
365			_aGBP _b140.00
500			_aTable of contents: 1. Recent Advances in Machine Learning Strategies and Its Applications S. Saranyadevi, Dr. Lekshmi Gangadhar 2. Understanding the Concept of IoT C. Emilin Shyni , Megha Menon K., Anesh D Sundar 3. Unlocking the Power of IoT: An In-Depth Exploration Prakash Shanmurthy, Damodharan D., Anandhan Karunanithi, Pajany M., J. John Bennet 4. Machine Learning in Internet of Things Sujni Paul, Grasha Jacob 5. Role of Machine Learning in Real Life Environment Balasaraswathi V R, Nathezhtha T, Vaissnavie V, Rajashree 6. Efficient Blockchain Based Edge Computing System Using Transfer Learning Model P. Sivakumar, S. Nagendra Prabhu, S. K. Somasundaram, J. Uma Maheswari, Murali Murugan 7. Introducing a Compact and High-Speed Machine Learning Accelerator for IoT Enabled Health Monitoring Systems Kavitha V. P., Magesh V., Theivanathan G., S. S. Saravana Kumar 8. Realization of Smart City Based on IoT and AI Pavithra N., Sapna R., Preethi, Manasa C. M., Raghavendra M. Devadas 9. Sentiment Analysis of Airline Tweets Using Machine Learning Algorithms and Regular Expression S.Nagendra Prabhu, A.P. Rohith, Shubhankar Bhope, P.Siva Kumar 10. Smart Workspace Automation: Harnessing IoT and AI for Sustainable Urban Development and Improved Quality of Life Sapna R., Preethi, Pavithra N., Manasa C. M., Raghavendra M. Devadas 11. Application of Digital Image Watermarking in the Internet of Things and Machine Learning K. Prabha , I. Shatheesh Sam [https://www.routledge.com/IoT-and-Machine-Learning-for-Smart-Applications/Selvi-Kumar-Prasad-Hajare-Rishi/p/book/9781032621081]
520			_aThis book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields. Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications Describes how various methods are used to extract higher- level information from IoT- generated data Presents the latest technologies and research findings on IoT for smart applications Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields. (https://www.routledge.com/IoT-and-Machine-Learning-for-Smart-Applications/Selvi-Kumar-Prasad-Hajare-Rishi/p/book/9781032621081)
650			_aHealth information _926006
650			_aMachine learning--Internet of things _926012
650			_aIoT- Health monitoring _926013
700			_aSelvi, Vennira G. [Editor] _926014
700			_aKumar, Ganesh T. [Editor] _926015
700			_aPrasad M. [Editor] _926016
700			_aHajare, Raju [Editor] _926017
700			_aRishi, Priti [Editor] _926018
942			_cBK _2ddc
999			_c10416 _d10416