Smart Trends in Computing and Communications (eBook, PDF)

Proceedings of SmartCom 2023, Volume 1

• Format: PDF

Produktbeschreibung

This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24–25, 2023, in Jaipur, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Produktdetails

• Verlag: Springer Nature Singapore
• Erscheinungstermin: 14. Juni 2023
• Englisch
• ISBN-13: 9789819907694
• Artikelnr.: 68260772

Autorenporträt

Prof. Tomonobu Senjyu received his B.S. and M.S. degrees in Electrical Engineering from the University of the Ryukyus, Nishihara, Japan, in 1986 and 1988, respectively, and his Ph.D. in Electrical Engineering from Nagoya University, Japan, in 1994. He is currently a full professor at the Department of Electrical and Electronics Engineering, University of the Ryukyus. His research interests include renewable energy, power system optimization and operation, power electronics, and advanced control of electrical machines. He is a IEEE Fellow, IEEJ Fellow and AAIA Fellow.

Prof. Chakchai So-In has been with the Department of Computer Science at Khon Kaen University since 2010. Dr. So-In received his B.E. and M.E. degrees from Kasetsart University (KU), Bangkok, Thailand, in 1999 and 2001, respectively. He also completed M.S. and Ph.D. degrees in Computer Engineering at the Department of Computer Science and Engineering, Washington University, in St. Louis(WUSTL), MO, USA, in 2006 and 2010. He has authored more than 100 publications in prominent journals and proceedings, together with 10 books. His research interests include mobile computing/sensor networks, Internet of Things, computer/wireless/distributed networks, cyber security, intelligent systems, and the future Internet. He is a senior member of the IEEE and ACM.

Dr. Amit Joshi is currently the director of Global Knowledge Research Foundation, also an entrepreneur researcher who has completed his master’s and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, Dr. Joshi is the international chair of InterYIT at International Federation of Information Processing (IFIP, Austria). Hehas presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM, and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer, and IEEE to name a few across different countries including India, the UK, Europe, USA, Canada, Thailand, Egypt, and many more.

Inhaltsangabe

Impact of Data Centric Approach to Improve the Performance of Leaf Disease Classification.- Evolution, Trends and Future Developments of Business Intelligence.- A Secure Protocol for Authentication and Data Storage for Healthcare System.- OMA-DSS: Ontology Based Multi Agent Decision Support System in Healthcare Domain to Prevent Cardiovascular Diseases.- Innovative Task Scheduling and Allocation Algorithm for E-Governance with Multi-cloud Environment.- Distributed Deep Learning with Data Parallelism for Diabetic Retinopathy Classification.- Sting - A User Governed Crime Alert App.- Classification of Traffic Signal Images using Deep Neural Networks.- Automatic Evaluatıon for Machıne Translatıon.- Evolving Time Series Data Streams: A Review.- Semi-Supervised Medical Image Segmentation on Data from Different Distributions.- Profiling Network Traffic by using Classification Techniques in Machine Learning.- Identification of Cracks in High Rise Buildings Using Drones and Deep Learning.- Wine Quality Prediction Using Machine Learning Techniques.- Wearable Technology with Location Tracking, Health Monitoring, and Attendance Tracking for Employees.

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Impact of Data Centric Approach to Improve the Performance of Leaf Disease Classification.- Evolution, Trends and Future Developments of Business Intelligence.- A Secure Protocol for Authentication and Data Storage for Healthcare System.- OMA-DSS: Ontology Based Multi Agent Decision Support System in Healthcare Domain to Prevent Cardiovascular Diseases.- Innovative Task Scheduling and Allocation Algorithm for E-Governance with Multi-cloud Environment.- Distributed Deep Learning with Data Parallelism for Diabetic Retinopathy Classification.- Sting - A User Governed Crime Alert App.- Classification of Traffic Signal Images using Deep Neural Networks.- Automatic Evaluation for Machine Translation.- Evolving Time Series Data Streams: A Review.- Semi-Supervised Medical Image Segmentation on Data from Different Distributions.- Profiling Network Traffic by using Classification Techniques in Machine Learning.- Identification of Cracks in High Rise Buildings Using Drones and Deep Learning.- Wine Quality Prediction Using Machine Learning Techniques.- Wearable Technology with Location Tracking, Health Monitoring, and Attendance Tracking for Employees.