Handbook of Artificial Intelligence and Wearables (eBook, ePUB)

Applications and Case Studies
Redaktion: K, Hemachandran; Ganie, Shahid Mohammad; Kumar, K. V. Rajesh; Paprika, Zita Zoltay; Rege, Manjeet

• Format: ePub

Produktbeschreibung

The ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments. This handbook provides a solid understanding of the significant role that AI plays in the design and development of wearable technologies along with applications and case studies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 440
• Erscheinungstermin: 4. April 2024
• Englisch
• ISBN-13: 9781040006757
• Artikelnr.: 70001354

Autorenporträt

Dr Hemachandran K is the Director of the AI Research Centre and Area Chair of the Analytics Department at Woxsen University. He is an ambassador of the AI Accelerator Institute and an Advisory Board member in many international and national companies such as AptAI Labs, USA, Agzitence Pvt, Ltd and many more. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. Currently serving as Expert at UNESCO and ATL Mentor of Change. He has edited 7 books and authored 3 books. He was bestowed as Best University Faculty Award at Woxsen University for two consecutive years 2022-2023 and 2021-2022 and also at Ashoka Institute of Engineering & Technology in 2019 - 2020. He is expertise in Natural Language Processing, Computer Vision, Building Video recommendation systems, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries across the globe. Dr. Manjeet Rege is a Professor and Chair of the Department of Software Engineering and Data Science; and Director of the Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He is also the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation. Apart from being engaged in research, Dr. Rege regularly consults with various organizations to provide expert guidance for building Big Data and AI practice, and applying innovative data science approaches. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences. Dr. Zita Zoltay Paprika graduated from the Karl Marx University of Budapest in 1981 and received her university doctorate degree from the same institution in 1983. She was working at the Bureau for Systems Analysis of the State Committee for Technical Development as an analyst till 1987. She joined the Business Economics Department of the Budapest University of Economic Sciences in 1988. She got her Ph.D. in Business Administration in 1999. In 2000 she was appointed as the Director for International Affairs at the Budapest University of Economic Sciences and Public Administration. Her main fields of interest are Decision Sciences and Business Economics. Dr. Zoltay Paprika was involved in different international and national projects during which activity she was project manager on several occasions. She was also acting as the USAID auditor in project evaluations. In 2005-2006 she got a Fulbright Research Scholarship and spent an academic year at California State University Sacramento. She has been the Chair of the Department of Decision Sciences from 2005 to 2020 and was appointed as the Program Director of the International Study Programs at the Faculty of Business Administration, Corvinus University of Budapest from 2007 to 2014. From January 1st, 2014 to January 31st, 2020 she was the Dean of the Corvinus Business School at Corvinus University of Budapest. During this period Corvinus Business School achieved EQUIS and AMBA accreditations. From February 1st, 2020 until 15 October she was appointed as Vice President of International Relations and Accreditations at Corvinus University of Budapest. She served at the EFMD Programme Accreditation Board from 2016 to 2022. She is the member of the International Advisory Board of ESSCA School of Management and Burgundy School of Business in France. Since 2021 she has been a member in CEIBS - Chinese European International Business School - International Advisory Board. Dr. Zoltay Paprika has been involved in several EQUIS and EFMD Programme accreditations as a Chair or PRT member. She is an editorial board member of the Central European Business Review and the International Journal of Business Research and Management. In January 2023 she was appointed as an Associate Director of EFMDa. Dr. Rajesh Kumar K V, currently working as Assistant Professor, School of Business - in Business Analytics area, Woxsen University, Hyderabad, India. He is holding Chair Professor of France Belanger of Information systems. He is serving as Co-Chairperson of the Centre of Excellence - Sports Analytics and Management and also he is Advertflair Chair Professor in Marketing and Advertising (AI Projects). He has earned his M. Tech in Embedded Systems from JNTU, Kakinada, and AMIE in ECE from the Institution of Engineers, Kolkata. He has done his research and Ph.D., at VIT University, Chennai. He was earlier associated with DRDO - DIPAS govt of India as a Junior Research Fellow and upGrad Educational Private Limited where he was guiding students in selecting research problems and in writing a thesis, to deal with AI/ML models, for those who are pursuing M.Sc. in Data Science / AI ML courses from LIVERPOOL JOHN MOORES University through upGrad. His research specialization is Human Computer Interface based signal Data Analytics for Bio-Medical Applications, Machine, and Deep Learning, and Business Analytics. He is a reviewer for the American Journal of Artificial Intelligence. Recently he presented a talk on at Data Con LA+ IM Data 2022 conference, US- California on sports analytics. Dr. Shahid Mohammad Ganie is an Assistant Professor at the AI Research Centre in the School of Business at Woxsen University. He is holding Chair Professor of Manjeet Rege Professor of Data Science and AI. He is serving as Co-Chairperson of the Centre of Excellence - SCIN Data. He obtained his PhD (Machine Learning in Healthcare Informatics) and a master's degree in Computer Applications (MCA), where he was a Gold Medalist, from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir. He also holds a BSc in Mathematics from the University of Kashmir. His research interests include Data Analytics, Machine Learning, Deep Learning, Healthcare Informatics, Smart Healthcare Systems, and Medical Image Computing. He has published various research articles in the refereed journals, edited books, and reputed international conferences. In addition, he serves as a reviewer for international/national reputed journals such as the Journal of Big Data, Applied Artificial Intelligence, Frontiers in Physiology, Connection Science, and Healthcare Analytics. Furthermore, he is a member of the AI Research Centre at Woxsen University. He holds a research affiliation with the Woxsen Future Lab (Interdisciplinary/Multidisciplinary Research Lab) at Woxsen University. Also, he serves as a member of the Technology Advisory Board, AI Research Centre, Woxsen University.

Inhaltsangabe

1. Introduction to AI. 2. Introduction to Machine Learning for Smart
Wearables. 3. AI for IoT Applications in Healthcare. 4. AI in Disease
Diagnosis. 5. AI in Smart Fitness Trackers. 6. AI in Robotics. 7.
AI-Enabled Glasses. 8. Machine Learning Models and Algorithms for
Intelligent Wearables. 9. Machine Learning Models for Regression and
Classification. 10. AI in Chronic Disease Diagnosis. 11. ANN Model for
Intelligent Wearables. 12. Recommendation Systems for Customers. 13. Expert
Systems for Better Decision-Making. 14. Real Impacts of AI in Sports
Wearables. 15. Real-Time Analysis of Machine Learning Models for
Intelligent Wearables. 16. Case Studies.