Proceedings of World Conference on Information Systems for Business Management

ISBM 2023, Volume 2
2024
ISBN: 978-981-99-8348-3
Verlag: Springer

Buch, Englisch, 523 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 913 g

Reihe: Lecture Notes in Networks and Systems

This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, during September 7–8, 2023. 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

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Chapter 1: Information Systems Field: An Analysis Through a Bibliometric Methodology.- Chapter 2: Feature Extraction and Fusion Method for Detection and Classification of Gastrointestinal Diseases using Deep Learning Algorithms.- Chapter 3: Type-2 Diabetes Mellitus Prediction with Gut Microbes Using Machine Learning Through Shotgun Metagenomic Sequencing.- Chapter 4 PREDICTION OF DIABETICS USING HYBRID FEATURE SELECTION WITH KNN & ANN.- Chapter 5: A Systematic Review of the Relationship Between Supply Chain Risk Management and Sustainability.- Chapter 6: Development of Digital Heritage for Archaeovisit Tourism Resilience: Evidences from E-Lenggong Web Portal.- Chapter 7: Managing Information Leadership for Learning Performance: An Empirical Study among Public School Educators.- Chapter 8: Next Generation Technical Interview Process Automation with Multi-Level Interactive Chatbot based on Intelligent Techniques.- Chapter 9: FEATURE SELECTION USING ARTIFICIAL BEE COLONY AND DISCERNIBILITY MATRIX IN ROUGH SET THEORY- A HYBRID APPROACH.- Chapter 10: Advancing Fish Species Identification in Bangladesh: Deep Learning Approaches for Accurate Freshwater Fish Recognition. etc.

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.

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.

Mr. Bharat Patel is engaged as Hon. Secretary General of Knowledge Chamber of Commerce and Industry. As a business leader, he coordinates among the various verticals of the company and guides the company in securing growth amidst business challenges. He 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, he is an 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. He is a 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 and also an entrepreneur and 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 ten 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.