In this thesis, we use convolutional long short-term memory based neural network archi-
tectures to predict certain basic dynamics of weather variables. First, rainfall dynamics
are studied across direct and iterative ...
In this work, we use convolutional recurrent neural network-based architectures involving
ConvLSTM and ConvGRU for precipitation forecasting over the Indian region. We first
compare direct and iterative approach for ...
In India, high prevalence of vector borne disease like malaria in certain region is a significant health burden and require extensive community monitoring surveillance and management. Proliferation and spread of all vector ...