Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries

W Zhou, H Feng, Z Guo, H Jia, Y Li, X Luo… - Socio-Economic …, 2024 - Elsevier
Providing defensible decisions is a prerequisite for methodologies of multi-criteria decision-
making (MCDM) activities, and this is especially true for socio-economic analysis in public …

Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled with fuzzy PROMETHEE under road-based conditions

SK Raju, GK Varadarajan, AH Alharbi, S Kannan… - Scientific Reports, 2024 - nature.com
Energy harvesters based on nanomaterials are getting more and more popular, but on their
way to commercial availability, some crucial issues still need to be solved. The objective of …

Probability and recurrence interval of large earthquakes (Mw≥ 6) in the Himalayan seismicity zone

S Malakar, AK Rai, VK Kannaujiya… - … , Natural Hazards and …, 2024 - Taylor & Francis
Abstract The Himalayan Mountains are one of the world's most seismically active regions.
Due to the active seismic status of the Himalayan belt and ongoing development activities in …

[NAVEDBA][C] Subhash Kannan 3, Doaa Sami Khafaga 2, Raj Anand Sundaramoorthy, Marwa M. Eid 4 & SK Towfek 5

SK Raju, GK Varadarajan, AH Alharbi - Scientific Reports, 2024