Iglesias / Shin / Patel Information Systems for Intelligent Systems

Proceedings of ISBM 2024, Volume 5
1. Auflage 2025
ISBN: 978-981-961747-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 633 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

EnhanceNet: Rethinking Model Scaling For Convolutional Neural Network.- Image Enhancement and Photo Restoration for DeMoire Datasets using GAN.- Artificial Intelligence: Economic Impact, Labor Productivity, and Policy Implications.- Future Prospects of Work in the Age of AI and Block Chain.- Comparison of Classification Algorithms to Analyze Important Factors on Customer Satisfaction: Case Study PT. Shopee International Indonesia.- Revitalising Bengaluru's Tourism Landscape: An urban design vision rooted in Vijayanagar empire heritage.- The Vital Role of Additionality in Renewable Energy Generation for Sustainable Integration of Green Hydro-gen – Systematic Literature Review.- Security of Network using Machine learning and Biometrics.- A Critical Analysis of Fons Trompenaars’ Intercultural Research.- Transformation of fiscal mechanisms for the development of technological sovereignty of the country's economy.- Leveraging Data Augmentation to Achieve Robust Multi-Label Classification of Hindi News.- A Deep Analysis of the Integration of Big Data Analytics in Small and Medium-sized Enterprises (SMEs) for Sustainable Development.- Use of ICT for performance evaluation in public administration.- Decentralized Water Consumption Tracking: A Blockchain Approach.- Machine Learning Imbalanced Datasets for Predicting Stillbirth Risk.- Machine Learning Imbalanced Datasets for Predicting Stillbirth Risk.- An Insightful Memory Subsystem Design: DRAM vs. Non-Volatile Memories.- A Prologue on Cyber-Physical Systems.- A Prologue on Cyber-Physical Systems.- Mitigating Cyber Threats: Strategies for Securing Communication Systems in Ghana.- Detection Model for Fake News in Bengali Language using SVM and Random Forest.- AdaptPhishSysNet: Adaptive Phishing Detection System for Blockchains using Machine Learning.- Enhancing Thai Students' English Proficiency through One-on-One Interaction with Native Speakers.- A Synergistic Approach to Analysis of Variance (ANOVA) Problem-Solving Using Machine Learning.- Designing Human-centric AI Mental Health Chatbots: A Case Study of Two Apps.- Curriculum Learning for Assessing Thyroid Nodules Using Imbalanced Ultrasound Images.- Deep Learning for Real-Time Diagnostics of Cold At-mospheric Plasma.- AI Innovations in Accessibility: Advancing Assistive Technologies for Diverse Communication Needs.- Resource-optimized solutions for effective network intrusion detection systems in cloud environments.- Comprehensive Review of Techniques for Forecasting Electricity Consumption.

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.