4 citations · 4 across the 3 of their papers we have counts for
3 papers
Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities
Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1
Convolutional long short-term memory networks (ConvLSTMs) are widely used for precipitation forecasting, but most evidence for their performance comes from dense, high-frequency ra…
Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI
Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1
Deep learning models for precipitation forecasting often function as black boxes, limiting their adoption in real-world weather prediction. To enhance transparency while maintainin…
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru
Tanmay Ghosh, Nithin Nagaraj
The decision making involved behind the mode choice is critical for transportation planning. While statistical learning techniques like discrete choice models have been used tradit…