Iglesias / Shin / Bhatt Information Systems for Intelligent Systems

Proceedings of ISBM 2025, Volume 9
Erscheinungsjahr 2026
ISBN: 978-3-032-13196-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 457 Seiten

Reihe: Springer Nature Proceedings excluding Computer Science

This book includes selected papers presented at the World Conference on Information Systems for Business Management (ISBM 2025), held in Bangkok, Thailand, on September 24–26, 2025. 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

Bhatt, Nityesh

Joshi, Amit

Inhaltsverzeichnis

Spatial Optimization for Emergency Centers in Industrial Zones.- Assessing Drivers of Lifestyle-Based Entrepreneurship in Natural Products Field.- Enhancing Cybersecurity Posture Through Comprehensive Threat Intelligence: Methods, Challenges, and Future Trends.- A Decade of AI in Personal Financial Management: A Bibliometric Analysis of Trends, Intellectual Structures, and Research Opportunities.- Integral Model for the Management and Mitigation of Credit Risk in the Colombian Solidarity Sector.- AI-Generated Music and Its Acceptance on Distribution Platforms: An Experiment from Production to Business Monetization.- CHARACTERIZATION AND ANALYSIS OF BADMINTON RACKET USING SINGLE WALLED AND MULTIWALLED CARBON NANOTUBES.- Harnessing Technology in Professional Education: An Inquiry into Pedagogical Practices and Governance Per-spectives in State Universities and Colleges in the Philip-pines.- Intelligent Access Control Schemes for the Internet of Everything: A Survey of Techniques, Challenges, and Future Directions.- Bridging the Gap: Perceptual Differences Between Physical and Virtual Tours in 360 Maynila.- An In-depth Analysis of the Impact of Feature Transformation Learning on Classification Matrix in Driver Identification.- Enhancing Weather Prediction For Agriculture.- Advancement and Challenges in Chatbot Technology: A Deep Dive into AI-Powered Conversations.- Enabling SME Participation in Cybersecurity Information Sharing: A Human-centric, Socio-technical Model.- System development for ethics in digital record archive: Insight from strategically critical review.- Linking System Effectiveness to Workforce Productivity: A Study on the Use of Electronic Accounting Systems.- The Impact of Digitalization on Total Quality Management and Supply Chain Performance: Evidence from the Manufacturing Sector in a Developing Country.- Disease Prediction in Sericulture and Automation.- The 'Grammarly Effect': A Mixed-Methods Study on the Impact of Instantaneous AI Feedback on Student Writing Anxiety and Revision Processes.- Optimizing Feature Selection for Medical Diagnosis Systems Using Differential Evolution.- Exploring Large Language Models to Assist Finite Element Analysis.- Genetic Algorithm-Driven Parameter Optimization for Practical Torus Fully Homomorphic Encryption.- Project-Based Learning: Comparing the Results of Group and Individual Projects in Undergraduate Program of Information Systems.- Adaptive Ambient Intelligence: Machine Learning Models for Context Prediction in Ubiquitous Systems.- Brand Vulnerability in Digital Age: Effects of Negative Publicity on Purchase Intention.- Website Defacement Detection using Machine Learning Technique.- Liberty to Equality: Hotel Management Application Level of Diversity Management in Selected Department of Tourism Accredited Hotels in Pangasinan.- Unveiling Barriers to Sustainable Fashion Consumption Among Gen Z.- Modelling the Barriers to Gen Z Adoption of Privacy-Preserving AI-Enabled Health Apps.- Integrating AI and Behavioral Analytics for Advanced Insider Threat Detection: A Cross-Disciplinary Approach Combining Cybersecurity and Cognitive Science.- Emotion Classification in News Headlines of Operation Sindoor Using Machine Learning: A Comparative Study of Logistic Regression and SVM.- Machine Learning-Based Clustering for Tuberculosis Patient Segmentation by Risk Factors and Symptom Profiles: A Case Study of Ngao District, Lampang.- StockVisionX: Leveraging Financial News Sentiment and Technical Indicators for Stock Movement Prediction.- A Secure and Efficient Implementation of TLS and QUIC for Secure Satellite Based Communication in UAVs.- Real-Time South African Sign Language interpretation using computer vision methods.- Robust Face Recognition System using Stable Diffusion and Synthetic Data.- Metaverse Entrepreneurship: Pathways of opportunities, challenges, and directions for future research.- Intelligent information system for proactive management of a printing enterprise.- Advancements in Machine Learning: Algorithms, Applications, and Emerging Research Directions.- An IoT-Enabled Real-Time Monitoring, Alerting, and Cloud Data Management System for Optimized Water Quality Control in Recirculating Aquaculture Systems (RAS).- Securing Systems Through Log Anomaly Detection: From Traditional Learning to LLMs.

Über Autor(innen)

Andres Iglesias is professor of Computer Science at the University of Cantabria, Santander, Spain, where he leads the "Computer Graphics & Artificial Intelligence" research group. He is also invited/guest professor at Toho University, Funabashi, Japan. His publication profile includes more than 320 international scientific papers, with journal papers in 33 categories of JCR, 21 books (published by Elsevier, Springer, IEEE and Thomson) and 4 patents. He has been chairman/organizer of +70 international events, program committee of +350 international conferences, reviewer of +200 papers in JCR journals and +750 papers of international conferences and associate editor/editorial board member of several international scientific journals.

Jungpil Shin is an Associate Professor, a Senior Associate Professor, and a Full Professor with the School of Computer Science and Engineering, The University of Aizu, Japan, in 1999, 2004, and 2019, respectively. He has co-authored more than 420 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, bioinformatics, and handwriting analysis, recognition, and synthesis. He is a member of ACM, IEICE, IPSJ, KISS, and KIPS.

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. He has more than 24 years of experience in academia, corporate training, and research. He was awarded as the best faculty of NIIT in North India. Credited with 68 research papers and management cases, he has also co-edited 14 books. 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.

Amit Joshi is currently serving as the Director of the esteemed G R Scholastic LLP, India. Enhancing his vision with his rich experience spanning approximately 15 years and realizing the need of globalization in education and business. His active affiliations include esteemed professional societies such as ACM, IEEE, CSI, AMIE, IACSIT Singapore, IDES, ACEEE, NPA, and more. He has presented and authored over 50 papers in reputable national and international journals and conferences, specifically those organized by IEEE and ACM. His editorial contributions include editing over 100 books published by renowned publishers such as Springer, T&F and ACM. He has also organized over 100 national and international conference delegations and workshops in over 20 countries including the USA, Canada, majorof Europe, Southeast Asia through various societies and international organizations.