AI-Aided IoT Technologies and Applications for Smart Business and Production

ISBN-13: 9781032490076 / Twarda / 2023 / 384 str.

Opis

This book covers the need for IoT technologies and AI-aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. The last part focuses on AI-aided IoT techniques, Data analytics and visualization tools.

Spis treści

1. The Role of the Internet of Things (IoT) Technologies in Business and Production. 2. Application of the Internet of Things (IoT) within Business Process Management. 3. Internet of Things (IoT)-Generated Data in Business and Production. 4. Data-Oriented in Internet of Things (IoT) in Intelligent Analytics and Visualization. 5. Applications of Wireless, 5G, 6G, and the Internet of Things (IoT) Technologies. 6. Monitoring Vehicle Noise and Pollution with a Smart Internet of Things (IoT) System. 7. Ubiquitous Sensor-Based the Internet of Things (IoT) Platform for Smart Farming. 8. Implementation of Smart Vehicle Parking System Using Internet of Things (IoT). 9. AI Algorithms for Unmanned Aerial Vehicles (UAV) and Wireless-Based Sensor Technologies. 10. Management and Analysis of House Price Using Python Platform. 11. Heart Disease Classification and Its Early Prediction using Machine Learning (ML). 12. Cloud-Integrated Industrial Internet of Things (IIoT) and Its Applications. 13. Smart Notice Board Using the Internet of Things (IoT)-Based NODEMCU ESP8266. 14. Automotive IoT: Accelerating the Automobile Industry's Long-Term Sustainability in Smart City Development Strategy. 15. A Bibliometric Analysis on Internet of Things (IoT) and Insurance Technology (InsurTech). 16. Cyber Security: Techniques and Applications to Combat Vicious Threats in the Modern Era Indices. 17. Smart City Metaverse Using Internet of Things (IoT) with Cloud Security. 18. Internet of Things (IoT)-Integrated Cloud and Data Solutions. 19. Public Service Strategy Empowered for the Internet of Things (IoT) Technologies and Its Challenges

O autorze

Dr. Alex Khang is a Professor in Information Technology, he has over 28 years of teaching and researching Information Technology at the Universities of Science and Technology in Vietnam and United States; AI and Data Scientist, Department of AI and Data Science, Global Research Institute of Technology and Engineering, North Carolina, United States. He is a specialist of Data Engineering and Artificial Intelligence in multinational IT corporations and also in the contribution stage of knowledge and experience into the scope of tech talk, consultant, lecturer in full time and part-time, and evaluation on the sides of contents and engineering for the research, editor, Master / Ph.D. thesis for local and international institutes and schools of Information Technology.

Dr. Anuradha Misra is an Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India. Her main area of interest includes Database security, Software Engineering, Deep learning, Data Science and Machine Learning.

Dr. Shashi Kant Gupta, Ph.D. is a Researcher, Integral University, Lucknow, Uttar Pradesh, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India, and Worked as Assistant Professor in the Department of Computer Science and Engineering, PSIT, Kanpur, U.P., India. He is currently Founder and CEO of CREP, Lucknow, UP, India. He is a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international organizations for research activities.

Dr. Vrushank Shah, is the Head of Electronics and Communication, Indus Institute of Technology and Engineering, Indus University, Rancharda, Via Shilaj Ahmedabad, Gujarat, India. He has more than 13 years of continuous teaching and research experience in Electronics Engineering, Communication Engineering, Cyber Security, Data Mining, Machine Learning, and the Internet of Things.