In / Londhe / Bhatt Information Systems for Intelligent Systems

Proceedings of ISBM 2024, Volume 1
1. Auflage 2025
ISBN: 978-981-961206-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 687 Seiten

Reihe: Smart Innovation, Systems and Technologies

This book includes selected papers presented at the World Conference on Information Systems for Business Management (ISBM 2024), held in Bangkok, Thailand, on September 12–13, 2024. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.

Zielgruppe

Research

Autoren/Hrsg.

In, Chakchai So

Londhe, Narendra S.

Bhatt, Nityesh

Kitsing, Meelis

Inhaltsverzeichnis

Android Based Efficient Indoor Localization System Design.- Identification and mitigation of advanced cyber threats in real-world environments.- Secure Code Generation with CodeT5: Leveraging Large Language Models and CVE Dataset.- Secure Code Generation with CodeT5: Leveraging Large Language Models and CVE Dataset.- Factors Influencing Online Impulsive Buying Behavior: The Case of Fashion Industry in Indonesia.- Business Applications of Machine Learning within the “Industry 4.0” Concept.- Sign Language Detection Mobile Application for Thai Patients Using Medical Image Processing to Support Medical Consultations.- Enhancing Retail Success using Machine Learning based Media Mix Modeling: A Study on Developing Markets.- Evolution and Advancements in ChatGPT: A Comprehensive Survey.- Influencing Sustainability: The Role of Social Media Influencers in Shaping LOHAS Consumer Behavior in the Sustainable Fashion Industry.- Modelling analysis of the economic impact from the decreasing population mobility of China’s mainland during the pandemic.- The EOQ Model in Service Industries: A Case Study of a Hospital Supply Chain.- Molidvipa: A Virtual Reality application which uses Variability to teach regional Indian languages.- Informative and Comprehensive Model for Managing the Fishery Complex Enterprises Labor Potential.- An Innovative Approach using Enhanced Multitasking Algorithm for Optimal Balance of Load in Cloud Computing.- Enhancing Supply Chain Efficiency through Business Process Re-engineering: A Case Study of the Pak Thong Chai Noodle Factory, Northeastern Thailand.- A Decision Model for IT-Supported Research Management Based on Cutting-Edge Data Science Technologies.- A Novel CNN Based Approach for Cervix Cancer Type Classification.- A Novel CNN Based Approach for Cervix Cancer Type Classification.- Bridging the Gap in Micro grid Solutions for Reliable and Continuous Renewable Energy.- Lime diseases classification Using Machine Learning and Spectrometry.- Robotic Wired Bomb Defusing System for Safety.- Predicting Telecommunication Outages in Ghana Using Machine Learning Algorithms.- On Compositional Engineering of Optimized Multiagent Systems.

Über Autor(innen)

Chakchai So-In is a Professor of Computer Science in the Department of Computer Science, College of Computing, Khon Kaen University, KK, TH. He received B.Eng./M.Eng. degrees from Kasetsart University, BKK, TH in 1999/2001 and M.S./Ph.D. degrees from Washington University in St. Louis, MO, USA in 2006/2010, all in Computer Engineering. He has interned with Cisco Networking Academy (CNAP-NTU, SG), Cisco Systems (Silicon Valley, USA), WiMAX Forums (USA), and Bell Labs (Alcatel-Lucent, USA). His research interests include Computer Networking and Internet technology, Wireless and Mobile Networks, Internet of Things, Wireless Sensor Networks, Cybersecurity, Cyber-physical Systems, and Applied Artificial Intelligence. He has served as an associate editor for IEEE Access, Plos ONE, Wireless Networks, PeerJ (CS), and ECTI-CIT and as a committee member/reviewer for many journals/publishers such as IEEE, ACM, Elsevier, Springer, Wiley, IET, IEICE, and ETRI; and conferences such as GLOBECOM, ICC, VTC, WCNC, ICNP, ICNC, and PIMRC. He has authored/coauthored over 150 international (technical) publications, including some in IEEE JSAC, IEEE TCCN, IEEE/CAA, IEEE Commun./Wireless Commun. Mags, IEEE IoT J., IEEE System J., JNCA, COMNET, FGCS, MONET, WN, and ESWA; and 10 books, including Mobile & Wireless Nets with IoT, Computer Network Lab., and Network Security Lab. He is also a senior member of IEEE and ACM.
Dr. Narendra D. Londhe is presently working as Professor in the Department of Electrical Engineering of National Institute of Technology Raipur, Chhattisgarh, India. He completed his B.E. from Amravati University in 2000 followed by M.Tech. and Ph.D. from Indian Institute of Technology Roorkee in the years 2006 and 2011, respectively. He has 14 years of rich experience in academics and research. He has published more than 170 articles in recognized journals, conferences, and books. His main areas of research include medical signal and image processing, biomedical instrumentation, speech signal processing, biometrics, intelligent healthcare, brain–computer interface, artificial intelligence, and pattern recognition. He has been awarded by organizations like Taiwan Society of Ultrasound in Medicine, Ultrasonics Society of India, and NIT Raipur. He is Active Member of different recognized societies from his areas of research including senior membership of IEEE.
Dr. Nityesh Bhatt is a Professor and Chairperson of Information Management Area at the Institute of Management, Nirma University, Ahmedabad - India. Since December 2021, he has been recognized as Nirma Limited Chair Professor in Management for three years. He holds M.B.A. (Marketing) and Ph.D. (e-Governance) degrees from M. L. Sukhadia University, India. He has also completed a four-month Faculty Development Programme of IIM-Ahmedabad and an online ‘’ of Diplo Foundation, Malta, in 2006. He has more than 24 years of experience in academia, corporate training, and research. In 1998, he was awarded as the best faculty of NIIT in North India. Credited with 67 research papers and management cases (), he has also co-edited 14 books. In 2006, he was invited to participate in the first Internet Governance Forum meeting jointly organized by the United Nations and Government of Greece at Athens. He is the recipient of ‘’ in 2009.

Four of his students have already been awarded Ph.D. Currently, he is part of a European Commission Project 'Knowledge Development for Circular Economy Transition' (Erasmus+ Programme). He has completed four consultancy/research assignments for Indian Space Research Organisation () and one for Government of Kerala. He has travelled to 14 countries for different academic initiatives.

Since 2007, he is a member of the National Executive Committee of Special Interest Group on e-Governance set up by the Computer Society of India. He is a Life Member of the Computer Society of India and Indian Society for Training and Development. He has conducted more than 300 MDPs for leading public and private sector companies.

Dr. Meelis Kitsing is the author of  (Routledge, 2021). His current research interests focus on the political economy of artificial intelligence and digital platforms. His research has been published in , , , , as well as by Springer, IEEE, ACM, Leuven University Press, and MIT Press. Kitsing is the Rector and Professor of Political Economy at the Estonian Business School, a private university with campuses in Tallinn, Estonia, and Helsinki, Finland. He also serves on the management boards of the Estonian Council on Foreign Relations, the Estonian Service Industry Association, and Eurofound, an EU research agency for social and employment policies headquartered in Dublin, Ireland. Previously, Professor Kitsing worked as Head of Research at the Foresight Center, a think tank at the Estonian Parliament; as Adviser at the Strategy Unit of the Estonian Government Office; and as Head of Economic Analysis at the Estonian Ministry of Economic Affairs and Communications. He also served as President of the Estonian Economic Association.