265 citations · 725 across the 26 of their papers we have counts for
28 papers
Bayesian neural networks via MCMC: a Python-based tutorial
Rohitash Chandra, Joshua Simmons
Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Ch…
Reef-insight: A framework for reef habitat mapping with clustering methods via remote sensing
Saharsh Barve, Jody M. Webster, Rohitash Chandra
Environmental damage has been of much concern, particularly in coastal areas and the oceans, given climate change and the drastic effects of pollution and extreme climate events. O…
Artificial intelligence for topic modelling in Hindu philosophy: mapping themes between the Upanishads and the Bhagavad Gita
Rohitash Chandra, Mukul Ranjan
A distinct feature of Hindu religious and philosophical text is that they come from a library of texts rather than single source. The Upanishads is known as one of the oldest philo…
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem
Shelvin Chand, Kousik Rajesh, Rohitash Chandra
The resource constrained project scheduling problem (RCPSP) is an NP-Hard combinatorial optimization problem. The objective of RCPSP is to schedule a set of activities without viol…
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework
Rohitash Chandra, Venkatesh Kulkarni
It is well known that translations of songs and poems not only break rhythm and rhyming patterns, but can also result in loss of semantic information. The Bhagavad Gita is an ancie…
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Rohitash Chandra, Yash Vardhan Sharma
Evolutionary algorithms provide gradient-free optimisation which is beneficial for models that have difficulty in obtaining gradients; for instance, geoscientific landscape evoluti…