Deep Learning Approach for Accurate Wind Profile Prediction in TRIGA Bandung Site as Safety-Related and Resilience Trustworthy Decision-Making

4 Nov 2025, 11:28
7m
60/Ground-106 - Lecture Hall (Administration Building)

60/Ground-106 - Lecture Hall

Administration Building

80
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Student Competition Student Competition
Technical Track Student Competition

Primary authors

Muhamad Hilmi Haidar (Telkom University) Haryo Seno (National Research and Innovation Agency - Indonesia) Nabila Putri Rihan (Telkom University)

Co-authors

Mr Dani Muliawan (Directorate of Nuclear Facility Management, National Research and Innovation Agency) Mr Djoko Prakoso Dwi Atmojo (Research Organization for Nuclear Energy, National Research and Innovation Agency, Indonesia) Mr Muhammad Thoriq Zam (Telkom University) Mr Rony Djokorayono (Research Organization for Nuclear Energy, National Research and Innovation Agency, Indonesia)

Presentation materials