Iglesias / Shin / Patel Information Systems for Intelligent Systems

Proceedings of ISBM 2024, Volume 3
1. Auflage 2025
ISBN: 978-981-961741-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 643 Seiten

Reihe: Lecture Notes in Networks and Systems

This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2024), held in Bangkok, Thailand, during 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.

Iglesias, Andres

Shin, Jungpil

Patel, Bharat

Joshi, Amit

Inhaltsverzeichnis

Mathematical Modeling and Performance Optimization of Power Generating Unit of Large-Scale Sewage Treatment Plants.- Improving the Prediction Model of Food Consumption Behavior Analytics of Diabetic Patients in Northern Thailand Using Data Mining Techniques.- Interpretation of Liquid Milk Samples Quality through Ensemble Learning.- Design of Low Power Compressors Using Full Adder.- Cardiovascular Disease Risk Prediction Using AI-Enabled Ensemble Bagging and Adaboost Supervised Machine Learning Classifiers.- A Bibliometric Analysis on Green Recruitment and Selection (GRS).- The Impact of Human Capital Investment on Employee Retention Intention in the Private Banks of Yangon, Myanmar.- Machine Learning based Trust Management Model for Fog2Fog Network.- Two-Factor Authentication System Components Design to Support Academic Information Systems.- Aspect Based Sentiment Analysis of Nepali Text using BERT based Model.- The Potential Development of Tourism Services and Tourism Communication Models in a Northern National Park for Carbon-Neutral Tourism Support Using Data Mining Analytics.- An Efficient Authentication Supporting Network Slicing Protocol for 5G-IoT-Based.- Survey On Transfer Learning for Enhanced Diabetic Retinopathy Detection.- Factors Affecting User's Trust on Social Network Sites Regarding Personalized Advertising Based on Social Media Privacy Theory.- Harnessing Social Media Analytics for Modern Business Intelligence: A Comprehensive Analysis.- Engineering Business Solutions: Advancing SME Competitiveness through IIoT-Driven Coopetition.- Clearing Faces in Blurred Surveillance Images: Evaluating the Effectiveness of Deliberate Blur Simulation for Face Detection.- Usability Evaluation of Video Conferencing Tools in Education.- Natural Language Processing for Insider Threat Email Detection Optimized by Modified Metaheuristics.- Revolutionising Healthcare: Unleashing the Potential of Artificial Intelligence for Beyond-Conventional Advancements.- Integrating Explainable AI with Deep Neural Networks to Improve Employee Attrition Prediction.- Predicting Financial Restatements of Listed Companies in Vietnam Using Data Mining Techniques.- Improved Automated Irrigation System Using MicroPython.- Traffic Management using Intelligent Transportation System based on Vehicular Ad hoc Networks.

Über Autor(innen)

Prof. Andres Iglesias is a professor of Computer Science at the University of Cantabria, Santander, Spain, where he leads the "Computer Graphics & Artificial Intelligence" research group. He is also an invited/guest professor at Toho University, Funabashi, Japan. His publication profile includes more than 300 scientific papers, with journal papers in 33 categories of JCR, 15 books, and 4 patents. He has been chairman/organizer of +60 international events, the program committee of +250 international conferences, reviewer of +180 papers in JCR journals and +650 papers of international conferences, and associate editor/editorial board member of several international scientific journals. He has also been a project expert evaluator for the European Union (FP7, Horizon 2020) and for several national research agencies, including NSF (USA) and other public research agencies in Spain, Germany, Canada, Cyprus, Iceland, etc. He has had international research stints at several universities, such as the University of Tsukuba (Japan), Wessex Institute of Technology (UK), Izmir Institute of Technology (Turkey), Kyushu University (Japan), and many others. Currently, he is the chairman of IFIP’s WorkGroup 5.10 “Computer Graphics and Virtual Worlds”.

Prof. Jungpil Shin (Senior Member, IEEE) received a B.Sc. in Computer Science and Statistics and an M.Sc. in Computer Science from Pusan National University, Korea, in 1990 and 1994, respectively. He received his Ph.D. in computer science and communication engineering from Kyushu University, Japan, in 1999, under a scholarship from the Japanese government (MEXT). He was an Associate Professor, a Senior Associate Professor, and a Full Professor at the School of Computer Science and Engineering, The University of Aizu, Japan, in 1999, 2004, and 2019, respectively. He has co-authored more than 340 published papers for widely cited journals and conferences. His research interests include pattern recognition, image processing, computer vision, machine learning, human-computer interaction, non-touch interfaces, human gesture recognition, automatic control, Parkinson’s disease diagnosis, ADHD diagnosis, user authentication, machine intelligence, as well as handwriting analysis, recognition, and synthesis. He is a member of ACM, IEICE, IPSJ, KISS, and KIPS. He served as program chair and as a program committee member for numerous international conferences. He serves as an Editor of IEEE journals, MDPI Sensors and Electronics, and Tech Science. He serves as a reviewer for several major IEEE and SCI journals.

Mr. Bharat Patel is engaged as the Hon. Secretary General of the Knowledge Chamber of Commerce & Industry. As a business leader, he coordinates among the various verticals of the company and guides the company in securing growth amidst business challenges. Published many technical papers in reputed journals in the area of E-Governance and IoT for Agriculture. More than 3 decades of ambitious, goal-orientated, energetic, and highly skilled information technology leadership, effective presenter with great interpersonal skills and a stout combination of both technological and business savoir-faire, experienced in collaborating with various parts of the international business.  He is a fellow at IEI and IETE. Member of CSI, International Red Cross, Association of British Scholars (a Division of British Council), British Business Group, GCCI, GESIA IT Association, founder member with Gujarat Innovation Society (GIS), ASSOCHAM, Asian-African Chamber of Commerce, and many more.

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 academics 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 the International Federation of Information Processing (IFIP, Austria). He has 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, UK, Europe, USA, Canada, Thailand, Egypt, and many more.