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Innovative Approaches in Computational Systems and Smart Applications

Mosiur Rahaman (Global Research Center for Technology and Science, India & International Center for AI and Cyber Security Research and Innovations, Asia University, Taiwan) and Faruk Azam Shaik (Centre National de la Recherche Scientifique, France)
Indexed In: SCOPUS
Release Date: May, 2025 | Copyright: © 2025 | Pages: 456
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369398463
ISBN13 Softcover: 9798369398470
EISBN13: 9798369398487
DOI: 10.4018/979-8-3693-9846-3

Description:

As the landscape of technology continues to evolve, the integration of intelligent systems and data-driven approaches is pushing the boundaries of innovation across multiple sectors. Developments in artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and smart systems are influencing the pioneering of cutting-edge research. As a result, they are transforming industries such as healthcare, agriculture, transportation, and network management. Through in-depth analysis of these technologies, they can be leveraged to solve complex problems and improve efficiency.

Innovative Approaches in Computational Systems and Smart Applications presents the most recent advancements in intelligent systems and data technologies, providing a thorough understanding of the state-of-the-art techniques and their practical applications. By covering a wide range of topics, it aims to bridge the gap between theoretical research and practical implementation. Covering topics such as logical-mathematics intelligence, digital libraries, and transparent fund management, this book is an excellent resource for computer scientists, data scientists, technologists, smart systems developers, business leaders, policymakers, industry professionals, researchers, scholars, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artwork Restoration
  • Blockchain
  • Closed-Circuit Television (CCTV) Surveillance
  • Digital Libraries
  • Donor Accountability
  • Healthcare
  • Image Processing
  • Industrial Automation
  • Intellectual Property Rights
  • Intelligent Sensors
  • Internet of Things (IoT) Research
  • K-Means Clustering
  • Logical-Mathematical Intelligence
  • Machine Learning (ML) Techniques
  • Network Security
  • Patch Discriminator Network
  • Real-Time Monitoring
  • Support Vector Machine (SVM) Data Analysis and Visualization
  • Transparent Fund Management
  • Transportation Apps

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Dr. Mosiur Rahaman earned his PhD in Computer Science and Information Engineering from Asia University in 2024. He also holds an MBA in Human Resources with IT from Osmania University (2017), an MTech in Computer Science and Engineering from Jawaharlal Nehru Technological University Hyderabad (2014), and a BTech in Computer Science and Engineering from the same institution (2012).

Currently, Dr. Rahaman is working as a Lecturer in the Department of Computer Engineering at King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. His research focuses on applying advanced feature selection techniques and machine learning approaches to detect mobile communication phishing attacks. His broader research interests include artificial intelligence, the Internet of Things (IoT), cybersecurity, and digital transformation, and he has published numerous articles in reputable international journals.

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In addition to his current role, Dr. Rahaman has extensive academic and research experience. He previously served as a Full-time Postdoctoral Researcher at the International Center for AI and Cyber Security Research and Innovations, Department of Computer Science and Information Engineering, Asia University, Taiwan. He has also held teaching positions as an Adjunct Lecturer and Teaching Assistant at Asia University and worked as an Assistant Professor at the Royal Institute of Technology & Science in India.

Beyond his teaching and research, Dr. Rahaman has actively contributed to the academic community by serving as a chair, editor, and member of editorial review boards for various international conferences and journals.

Faruk Azam Shaik is a research scientist (CRCN) at the Centre National de la Recherche Scientifique (CNRS), France, affiliated with the Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN), UMR 8520. He received his Ph.D. in Electrical Engineering and Information Systems from The University of Tokyo, Japan, in 2018, and his M.Tech. in Biomedical Engineering from the Indian Institute of Technology Hyderabad, India, in 2015. Dr. Shaik's research is centered on microtechnology, with a particular emphasis on Bio-MEMS, sensors and actuators, microfluidics, and lab-on-a-chip systems designed to address biological and clinical challenges. He has authored and co-authored numerous peer-reviewed journal articles and conference papers, and is a co-inventor on several patents. In addition to his scientific publications, he has actively contributed to various research grant proposals and co-led a technology maturation program.

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