By Dr Rohitash Chandra

Working Papers

Sharma A; Singh PK; Chandra R, 2021, SMOTified-GAN for class imbalanced pattern classification problems, http://dx.doi.org, http://dx.doi.org/10.1109/ACCESS.2022.3158977

Chandra R; Jain M; Maharana M; Krivitsky PN, 2021, Revisiting Bayesian Autoencoders with MCMC, http://dx.doi.org, http://dx.doi.org/10.1109/ACCESS.2022.3163270

Renanse A; Chandra R; Sharma A, 2021, Memory Capacity of Neural Turing Machines with Matrix Representation, http://dx.doi.org, http://arxiv.org/abs/2104.07454v1

Tiwari A; Gupta R; Chandra R, 2021, Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown, http://dx.doi.org, http://arxiv.org/abs/2102.10551v1

Chandra R; Jain A; Chauhan DS, 2021, Deep learning via LSTM models for COVID-19 infection forecasting in India, http://dx.doi.org, http://dx.doi.org/10.1371/journal.pone.0262708

Chandra R, 2017, Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks, http://dx.doi.org, http://arxiv.org/abs/1701.04518v1

Chandra R, 2017, An affective computational model for machine consciousness, http://dx.doi.org, http://arxiv.org/abs/1701.00349v1

Abel D; Gavidi B; Rollings N; Chandra R, 2015, Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji, http://dx.doi.org, http://arxiv.org/abs/1503.00810v1

Reddy E; Kumar S; Rollings N; Chandra R, 2015, Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji, http://dx.doi.org, http://arxiv.org/abs/1503.00814v1

Back to profile page