Smart Data Intelligence (eBook, PDF)

This book presents high-quality research papers presented at 5th International Conference on Smart Data Intelligence (ICSMDI 2025) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during January 2025. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven ...

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Asokan Ramasamy received his BE degree in electronics and communication from Bharathiar University and MS degree in electronics and control from Birla Institute of Technology. He obtained MTech degree in electronics and communication from Pondicherry Engineering College, with distinction. He obtained PhD in information and communication engineering from Anna University, Chennai. He is currently the Principal, Kongunadu College of Engineering and Technology, Thottiyam, TamilNadu, India. He has published more than 65 papers in national and international journals and conferences. He has over 25 years of teaching experience. He is a member of various scientific and professional societies. His areas of interest include wireless networks, network security and image processing. Diego P. Ruiz received the M.S: and Ph.D. degrees in Physics from the University of Granada, Spain, in 1991 and 1995 respectively. He was a teacher in the University of Malaga in 1994-95 and he is currently full professor at the Faculty of Sciences of the University of Granada. He is also coordinator of courses in the open training classroom of the University of Granada. He is interested and participates in several commissions and projects for the assessment of teaching quality and teaching innovation, and collaborates in science dissemination activities through the Scientific Culture Unit of the University of Granada. His current research interest are environmental pollution and its modeling, especially acoustics and electromagnetic pollution, signal processing and energy efficiency in buildings. His main contributions have been in the development of signal processing algorithms for the automatic classification of radar objects, analysis and modeling of data coming from physical agents (noise and vibrations), development of indoor air quality indices and new technologies for pollution control. Vasile Daniel P¿v¿loaia has a PhD in AIS since 2008 and a post-doctoral diploma since 2012. He is Professor at the Department of Accounting, Business Informatics and Statistics and since 2019 he is a PhD advisor. His teaching subjects and research interests include AI for Business, Enterprise Resource Planning, IT for Business Administration and Public Sector, Intelligent informatics and big data analytics. He is a Fulbright grantee and performed a graduate program at Washington State University between 2003-2004.

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