Proceedings of World Conference on Information Systems for Business Management [E-Book] : ISBM 2023, Volume 2 / edited by Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi.
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 system...
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Full text |
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| Personal Name(s): | Iglesias, Andres, editor |
| Joshi, Amit, editor / Patel, Bharat, editor / Shin, Jungpil, editor | |
| Edition: |
1st edition 2024. |
| Imprint: |
Singapore :
Springer,
2024
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| Physical Description: |
XVIII, 523 pages 152 illustrations, 112 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789819983490 |
| DOI: |
10.1007/978-981-99-8349-0 |
| Series Title: |
Lecture Notes in Networks and Systems ;
834 |
| Subject (LOC): |
- 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.