http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/370 Thu, 04 Jun 2026 20:31:10 GMT 2026-06-04T20:31:10Z http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1725 Classification of motorcycle riding pattern based on computer vision and machine learning Vattiya Jarunakarint Surapong Uttama Thesis (M.Sc.) -- Information Technology, School of Information Technology. Mae Fah Luang University, 2021 Fri, 01 Jan 2021 00:00:00 GMT http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1725 2021-01-01T00:00:00Z http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1724 Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem Chutipon Pimsarn Tossapon Boongoen Thesis (M.Sc.) -- Information Technology, School of Information Technology. Mae Fah Luang University, 2021 Fri, 01 Jan 2021 00:00:00 GMT http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1724 2021-01-01T00:00:00Z http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1702 Advisory recommendation system for dental sudents with a decision tree model Katayut Thakaeng Santichai Wicha Thesis (M.Sc.) -- Information Technology, School of Applied Digital Technology. Mae Fah Luang University, 2024 Mon, 01 Jan 2024 00:00:00 GMT http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1702 2024-01-01T00:00:00Z http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1639 Recommended conceptual framework for a community-based flood management system in the Gambia Amadou Sanneh Santichai Wicha Due to its frequency and severe impacts on lives and livelihoods, flooding stands as the primary hazard in the Gambia. This research investigates the standard of the various flood information systems in the Gambia. Both primary and secondary data were used; 385 respondents, including humanitarian workers and community members, administered a questionnaire on the quality of the heterogeneous flood information systems in the Gambia based on the constructs of the Delone and Mclean Information System Success Model (D & M IS Success Model). Data collection was done using Google form and was analysed using SPSS. On average, Humanitarian Workers and Community members were 59% satisfied with the overall quality of the existing flood information Systems. System. Recommendations were made for developing a community-based flood information system, which should empower a multi-sectoral, all-inclusive, and participatory approach for flood risk information management. Based on the findings of this research, a road map was outlined for the development of a Community Centred Flood Information Thesis (M.Sc.) -- Information Technology, School of Applied Digital Technology. Mae Fah Luang University, 2025 Wed, 01 Jan 2025 00:00:00 GMT http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1639 2025-01-01T00:00:00Z