Proceedings of World Conference on Information Systems for Business Management

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.

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