209 citations · 651 across the 18 of their papers we have counts for
18 papers
Remote sensing data imputation using deep learning for multispectral imagery
Shuang Liu, Fiona Johnson, Rohitash Chandra
Remote sensing techniques have been increasingly utilised in aquatic applications in recent years. A common challenge in using optical satellite data is the presence of missing obs…
tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
Amuche Ibenegbu, Pierre Lafaye de Micheaux, Rohitash Chandra
Time-series analysis is often affected by missing data, a common problem across several fields, including healthcare and environmental monitoring. Multiple Imputation by Chained Eq…
Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
Yadvendra Gurjar, Ruoni Wan, Ehsan Farahbakhsh +1
As a developing country, Fiji is facing rapid urbanisation, which is visible in the massive development projects that include housing, roads, and civil works. In this study, we pre…
Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data
Ehsan Farahbakhsh, Dakshi Goel, Dhiraj Pimparkar +2
Traditional geological mapping, based on field observations and rock sample analysis, is inefficient for continuous spatial mapping of features like alteration zones. Deep learning…
Remote sensing framework for geological mapping via stacked autoencoders and clustering
Sandeep Nagar, Ehsan Farahbakhsh, Joseph Awange +1
Supervised machine learning methods for geological mapping via remote sensing face limitations due to the scarcity of accurately labelled training data that can be addressed by uns…
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal +1
Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration…