By Dr Rohitash Chandra

Journal articles

Kapoor A; Chandra R, 2026, 'QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification', Journal of Hydrology, 664, pp. 134434 - 134434, http://dx.doi.org/10.1016/j.jhydrol.2025.134434

Lovelock T; Chandra R, 2025, 'Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars', Remote Sensing, 17, pp. 3578 - 3578, http://dx.doi.org/10.3390/rs17213578

Forouzandeh S; Krivitsky PN; Chandra R, 2025, 'Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems', Expert Systems with Applications, 291, http://dx.doi.org/10.1016/j.eswa.2025.128378

Farahbakhsh E; Goel D; Pimparkar D; Müller RD; Chandra R, 2025, 'Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data', Pfg Journal of Photogrammetry Remote Sensing and Geoinformation Science, 93, pp. 379 - 400, http://dx.doi.org/10.1007/s41064-025-00344-z

Wang H; Zhi W; Batista G; Chandra R, 2025, 'Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework', Expert Systems with Applications, 271, http://dx.doi.org/10.1016/j.eswa.2025.126557

Chandra R; Zhu B; Fang Q; Shinjikashvili E, 2025, 'Large language models for newspaper sentiment analysis during COVID-19: The Guardian', Applied Soft Computing, 171, http://dx.doi.org/10.1016/j.asoc.2025.112743

Tavakoli M; Chandra R; Tian F; Bravo C, 2025, 'Multi-modal deep learning for credit rating prediction using text and numerical data streams', Applied Soft Computing, 171, http://dx.doi.org/10.1016/j.asoc.2025.112771

Chandra R; Chaudhari A; Rayavarapu Y, 2025, 'An Evaluation of LLMs and Google Translate for Translation of Selected Indian Languages via Sentiment and Semantic Analyses', IEEE Access, 13, pp. 122386 - 122407, http://dx.doi.org/10.1109/ACCESS.2025.3585629

Singh A; Chandra R, 2025, 'HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2025.3617514

Chandra R, 2025, 'Science and Hinduism share the vision of a quest for truth', Nature Human Behaviour, 9, pp. 7 - 8, http://dx.doi.org/10.1038/s41562-024-02055-8

Chandra R; Ren G, 2025, 'Longitudinal abuse and sentiment analysis of Hollywood movie dialogues using language models', Machine Learning with Applications, 22, pp. 100749 - 100749, http://dx.doi.org/10.1016/j.mlwa.2025.100749

Chandra R; Sonawane J; Lande J, 2024, 'An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines', Big Data and Cognitive Computing, 8, http://dx.doi.org/10.3390/bdcc8120186

Deo R; John CM; Zhang C; Whitton K; Salles T; Webster JM; Chandra R, 2024, 'Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef', Scientific Data, 11, http://dx.doi.org/10.1038/s41597-024-03766-3

Nagar S; Farahbakhsh E; Awange J; Chandra R, 2024, 'Remote sensing framework for geological mapping via stacked autoencoders and clustering', Advances in Space Research, 74, pp. 4502 - 4516, http://dx.doi.org/10.1016/j.asr.2024.09.013

Bansal C; Deepa PR; Agarwal V; Chandra R, 2024, 'A clustering and graph deep learning-based framework for COVID-19 drug repurposing', Expert Systems with Applications, 249, http://dx.doi.org/10.1016/j.eswa.2024.123560

Chen E; Andersen MS; Chandra R, 2024, 'Deep learning framework with Bayesian data imputation for modelling and forecasting groundwater levels', Environmental Modelling and Software, 178, http://dx.doi.org/10.1016/j.envsoft.2024.106072

Khan AA; Chaudhari O; Chandra R, 2024, 'A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation', Expert Systems with Applications, 244, http://dx.doi.org/10.1016/j.eswa.2023.122778

Ke Y; Bian R; Chandra R, 2024, 'A unified machine learning framework for basketball team roster construction: NBA and WNBA[Formula presented]', Applied Soft Computing, 153, http://dx.doi.org/10.1016/j.asoc.2024.111298

Nguyen NM; Tran MN; Chandra R, 2024, 'Sequential reversible jump MCMC for dynamic Bayesian neural networks', Neurocomputing, 564, http://dx.doi.org/10.1016/j.neucom.2023.126960

Khan AA; Hussain S; Chandra R, 2024, 'A Quantum-Inspired Predator–Prey Algorithm for Real-Parameter Optimization', Algorithms, 17, http://dx.doi.org/10.3390/a17010033

Chandra R; Simmons J, 2024, 'Bayesian Neural Networks via MCMC: A Python-Based Tutorial', IEEE Access, 12, pp. 70519 - 70549, http://dx.doi.org/10.1109/ACCESS.2024.3401234

Chandra R; Tiwari A; Jain N; Badhe S, 2024, 'Large Language Models for Metaphor Detection: Bhagavad Gita and Sermon on the Mount', IEEE Access, 12, pp. 84452 - 84469, http://dx.doi.org/10.1109/ACCESS.2024.3411060

Wang T; Beard R; Hawkins J; Chandra R, 2024, 'Recursive Deep Learning Framework for Forecasting the Decadal World Economic Outlook', IEEE Access, 12, pp. 152921 - 152944, http://dx.doi.org/10.1109/ACCESS.2024.3472859

Deo R; Webster JM; Salles T; Chandra R, 2024, 'ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores', IEEE Access, 12, pp. 12164 - 12180, http://dx.doi.org/10.1109/ACCESS.2023.3341156

Renanse A; Sharma A; Chandra R, 2023, 'Memory capacity of recurrent neural networks with matrix representation', Neurocomputing, 560, http://dx.doi.org/10.1016/j.neucom.2023.126824

Chandra R; Sharma YV, 2023, 'Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models', Computational Geosciences, 27, pp. 939 - 954, http://dx.doi.org/10.1007/s10596-023-10223-4

Bai G; Chandra R, 2023, 'Gradient boosting Bayesian neural networks via Langevin MCMC', Neurocomputing, 558, http://dx.doi.org/10.1016/j.neucom.2023.126726

Kapoor A; Pathiraja S; Marshall L; Chandra R, 2023, 'DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling', Environmental Modelling and Software, 169, http://dx.doi.org/10.1016/j.envsoft.2023.105831

Lande J; Pillay A; Chandra R, 2023, 'Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron', Plos One, 18, http://dx.doi.org/10.1371/journal.pone.0288681

Barve S; Webster JM; Chandra R, 2023, 'Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing', Information Switzerland, 14, http://dx.doi.org/10.3390/info14070373

Chandra R; Bansal C; Kang M; Blau T; Agarwal V; Singh P; Wilson LOW; Vasan S, 2023, 'Unsupervised machine learning framework for discriminating major variants of concern during COVID-19', Plos One, 18, http://dx.doi.org/10.1371/journal.pone.0285719

Kapoor A; Negi A; Marshall L; Chandra R, 2023, 'Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks', Environmental Modelling and Software, 162, http://dx.doi.org/10.1016/j.envsoft.2023.105654

Kumar AK; Jain S; Jain S; Ritam M; Xia Y; Chandra R, 2023, 'Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system', Computer Methods and Programs in Biomedicine, 231, http://dx.doi.org/10.1016/j.cmpb.2023.107421

Shukla A; Bansal C; Badhe S; Ranjan M; Chandra R, 2023, 'An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis', Natural Language Processing Journal, 4, pp. 100025 - 100025, http://dx.doi.org/10.1016/j.nlp.2023.100025

Kapoor A; Nukala E; Chandra R, 2022, 'Bayesian neuroevolution using distributed swarm optimization and tempered MCMC[Formula presented]', Applied Soft Computing, 129, http://dx.doi.org/10.1016/j.asoc.2022.109528

Jain HA; Agarwal V; Bansal C; Kumar A; Faheem ; Mohammed MUR; Murugesan S; Simpson MM; Karpe AV; Chandra R; MacRaild CA; Styles IK; Peterson AL; Cooper MA; Kirkpatrick CMJ; Shah RM; Palombo EA; Trevaskis NL; Creek DJ; Vasan SS, 2022, 'CoviRx: A User-Friendly Interface for Systematic Down-Selection of Repurposed Drug Candidates for COVID-19', Data, 7, http://dx.doi.org/10.3390/data7110164

Ngo G; Beard R; Chandra R, 2022, 'Evolutionary bagging for ensemble learning', Neurocomputing, 510, pp. 1 - 14, http://dx.doi.org/10.1016/j.neucom.2022.08.055

Anshuka A; Chandra R; Buzacott AJV; Sanderson D; van Ogtrop FF, 2022, 'Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model', Stochastic Environmental Research and Risk Assessment, 36, pp. 3467 - 3485, http://dx.doi.org/10.1007/s00477-022-02204-3

Chandra R; Ranjan M, 2022, 'Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita', Plos One, 17, http://dx.doi.org/10.1371/journal.pone.0273476

Kumar AK; Ritam M; Han L; Guo S; Chandra R, 2022, 'Deep learning for predicting respiratory rate from biosignals', Computers in Biology and Medicine, 144, http://dx.doi.org/10.1016/j.compbiomed.2022.105338

Shirmard H; Farahbakhsh E; Heidari E; Pour AB; Pradhan B; Müller D; Chandra R, 2022, 'A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14040819

Chandra R; Tiwari A, 2022, 'Distributed Bayesian optimisation framework for deep neuroevolution', Neurocomputing, 470, pp. 51 - 65, http://dx.doi.org/10.1016/j.neucom.2021.10.045

Shirmard H; Farahbakhsh E; Müller RD; Chandra R, 2022, 'A review of machine learning in processing remote sensing data for mineral exploration', Remote Sensing of Environment, 268, http://dx.doi.org/10.1016/j.rse.2021.112750

Chandra R; Jain A; Chauhan DS, 2022, 'Deep learning via LSTM models for COVID-19 infection forecasting in India', Plos One, 17, http://dx.doi.org/10.1371/journal.pone.0262708

Chandra R; Jain M; Maharana M; Krivitsky PN, 2022, 'Revisiting Bayesian Autoencoders With MCMC', IEEE Access, 10, pp. 40482 - 40495, http://dx.doi.org/10.1109/ACCESS.2022.3163270

Chandra R; Kulkarni V, 2022, 'Semantic and Sentiment Analysis of Selected Bhagavad Gita Translations Using BERT-Based Language Framework', IEEE Access, 10, pp. 21291 - 21315, http://dx.doi.org/10.1109/ACCESS.2022.3152266

Sharma A; Singh PK; Chandra R, 2022, 'SMOTified-GAN for Class Imbalanced Pattern Classification Problems', IEEE Access, 10, pp. 30655 - 30665, http://dx.doi.org/10.1109/ACCESS.2022.3158977

Diaz-Rodriguez J; Müller RD; Chandra R, 2021, 'Predicting the emplacement of Cordilleran porphyry copper systems using a spatio-temporal machine learning model', Ore Geology Reviews, 137, http://dx.doi.org/10.1016/j.oregeorev.2021.104300

Chandra R; Krishna A, 2021, 'COVID-19 sentiment analysis via deep learning during the rise of novel cases', Plos One, 16, http://dx.doi.org/10.1371/journal.pone.0255615

Chandra R; He Y, 2021, 'Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic', Plos One, 16, http://dx.doi.org/10.1371/journal.pone.0253217

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