This book takes a deep dive into ubiquitous computing for applications in health, business, education, tourism, and transportation. The rich interdisciplinary contents of the book appeal to readers from diverse disciplines who aspire to create new and innovative research initiatives and applications in ubiquitous computing. Topics include condition monitoring and diagnostics; multi-objective optimization in design, multi-objective optimization of machining parameters, and more. The book benefits researchers, advanced students, as well as practitioners interested in applications of ubiquitous computing.
- Features practical, tested applications in ubiquitous computing
- Includes applications such as health, business, education, electronics, tourism, and transportation
- Applicable to researchers, academics, students, and professionals
Table des matières
Introduction.- Computer Science and Engineering.- NLP.- Pattern recognition.- Data mining.- Knowledge discovery.- Feature extraction and selection.- Mechanical systems.- Condition monitoring and diagnostics.- Multi-objective optimization in design.- Control system design.- Manufacturing systems.- Development of data-driven models.- Multi-objective optimization of machining parameters.- Engineering management.- Inventory management.- Project selection.- Facility layout design.- Scheduling.- Health science.- Patient condition monitoring and diagnostics.- Clinical decision support systems.- Patient empowerment systems.- Business.- Market analysis and forecasting.- Credit rating.- Conclusion.
A propos de l’auteur
Dr. Raman Kumar is working as an Assistant Professor in Computer Science and Engineering since 2007. His major area of research is Cryptography, Security Engineering and Information security. He has published many papers in refereed journals, book chapters and conference proceedings on his research areas. Dr. Sara Paiva is an Adjunct Professor at the Polytechnic Institute of Viana do Castelo, a Ph D in Informatics Engineering from University of Vigo and a postdoctoral researcher at the University of Oviedo since January 2018, under advanced drivings assistants area. Sara Paiva coordinates ARC4Digi T, an Applied Research Center for Digital Transformation, created in January 2018 and currently under approval of the Portuguese Foundation for Science and Technology. Her main line of research is mobility and mobile/Io T solutions applied to the promotion of social inclusion. She is frequent book editor of Springer and IGI books, has more than 30 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and has oriented several final projects of Bachelor and Master in her main line of work.
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