IoT and AI Technologies for Sustainable Living
CRC Press (Verlag)
978-0-367-50726-8 (ISBN)
This book provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest patterns, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need for AI and IoT to have a sustainable era of human living. The tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithms, sentimental analysis and Natural Language Processing (NLP).
IoT and AI Technologies for Sustainable Living: A Practical Handbook will be a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
Abid Hussain is an Associate Professor in the School of Computer Application at Career Point University. He obtained post-graduation degree in Computer Application from University of Kota. He also received Ph.D in Computer Application from Singhania University, Jhunjhunu , Rajasthan. His area of interest is Cloud Computing, Network Security, Open Source Technologies, Web Engineering and Cyber Security. He is also a Research Supervisor in Computer Science & Application at Career Point University. He published research paper in the national and international journal of computer science. He is also worked as a reviewer for various national and international conferences. Garima Tyagi is an Assistant Professor in the School of Computer Application at Career Point University. She received post-graduation degrees in Chemistry from RohilKhand University and Computer Applications from JNRV University respectively. Completed Executive MBA in HR. Research area are VOIP, NLP, Algorithms and Soft Computing. Besides having research, interest in Computer Science also did a measurable amount of research in the field of TQM, BPR and HRM. Sheng-Lung Peng is a Professor of the Department of Creative Technologies and Product Design, National Taipei University of Business, Taoyuan, Taiwan. He received the BS degree in Mathematics from National Tsing Hua University, and the MS and PhD degrees in Computer Science from the National Chung Cheng University and National Tsing Hua University, Taiwan, respectively. He is an honorary Professor of Beijing Information Science and Technology University of China, and a visiting Professor of Ningxia Institute of Science and Technology of China. He is now serving the regional director of the ICPC Contest Council for Taiwan, a director of Institute of Information and Computing Machinery, of Information Service Association of Chinese Colleges and of Taiwan Association of Cloud Computing. He is also a supervisor of Chinese Information Literacy Association, of Association of Algorithms and Computation Theory. His research interests are in designing and analyzing algorithms for Bioinformatics, Combinatorics, Data Mining, and Networks. Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Computers and MDPI Algorithms. He is also a reviewer for more than 10 journals such as IEEE Transactions on Emerging Topics in Computing, Theoretical Computer Science, Journal of Computer and System Sciences, Journal of Combinatorial Optimization, Journal of Modeling in Management, Soft Computing, Information Processing Letters, Discrete Mathematics, Discrete Applied Mathematics, Discussiones Mathematicae Graph Theory, and so on. He published more than 100 international conferences and journal papers.
1. Rapid Application Development in Cloud Computing with IoT
Nirupma Singh and Abid Hussain
2. Integration of IoT with Artificial Intelligence in Health Care
N.K. Shiju, N. Ramachandran, Salini Suresh and Anubha Jain
3. Significant Role of IoT in Agriculture for Smart Farming
Rohit Maheshwari, Mohnish Vidyarthi and Parth Vidyarthi
4. Next Era of Computing with Machine Learning in Different Disciplines
R. Sabitha, J. Shanthini and S. Karthik
5. Self-Diagnosis in Healthcare Systems Using AI Chatbots
Bhawna Nigam, Naman Mehra and M. Niranjanamurthy
6. Digital Water: New Approach to Build Efficient Water Management Systems
Priyanka Verma and Anubha Jain
7. Online Recommendation Using Machine Learning (ML) and NLP
Mohnish Vidyarthi, Parth Vidyarthi and Rohit Maheshwari
8. Natural Language Processing and Translation Using Machine Learning
Garima Tyagi
9. Text and Multimedia Mining through Machine Learning
T. Kohilakanagalakshmi, K.R. Radhakrishnan, Salini Suresh and Ruchi Nanda
10. Application of IoT and Block Chaining for Business Analysis
K. Sheela, M. Mubina Begum and C. Priya
11. Applications of Body Sensor Network in Healthcare
K.R. Radhakrishnan, T. Kohilakanagalakshmi, Salini Suresh, T.M. Thiyagu and Amita Sharma
12. Sentimental Analysis with Web Engineering and Web Mining
Rahul Malik and Sagar Pande
13. Big Data in Cloud Computing - A Defense Mechanism
N. Ramachandran, Salini Suresh, Sunitha, Suneetha V, and Neha Tiwari
14. Sound and Precise Analysis of Web Applications for Injection Vulnerabilities
Chitsutha Soomlek, Krit Kamtuo and Ekkarat Boonchieng
15. Multimedia Applications in Forensics, Security and Intelligence
M. Mubina Begum and C. Priya
16. Advancements and Innovation in Digital Marketing and SEO
Anubha Jain, Chhavi Jain, Rahul G. Kargal and Salini Suresh
17. Advanced Wireless Solutions (Case Studies on Application Scenarios)
Jyoti Prabha
| Erscheinungsdatum | 05.10.2022 |
|---|---|
| Zusatzinfo | 31 Tables, black and white; 22 Line drawings, black and white; 91 Halftones, black and white; 113 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 644 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 0-367-50726-9 / 0367507269 |
| ISBN-13 | 978-0-367-50726-8 / 9780367507268 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
