Rohitash Chandra

发表

Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models

Richard Scalzo, Ehsan Farahbakhsh, Rohitash Chandra, 2021 .

Evolutionary bagged ensemble learning

G. Ngo, Rohitash Chandra, R. Beard, 2022, ArXiv.

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Laurence O. W. Wilson, M. Kang, Rohitash Chandra, 2022, ArXiv.

Evolutionary bagging for ensemble learning

G. Ngo, Rohitash Chandra, R. Beard, 2022, Neurocomputing.

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Laurence O. W. Wilson, M. Kang, Rohitash Chandra, 2022, ArXiv.

Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model

Anshuka Anshuka, A. Buzacott, F. V. van Ogtrop, 2022, Stochastic Environmental Research and Risk Assessment.

A review of machine learning in processing remote sensing data for mineral exploration pdf

Ehsan Farahbakhsh, Rohitash Chandra, R. Dietmar Müller, 2021, Remote Sensing of Environment.

Deep learning via LSTM models for COVID-19 infection forecasting in India

Ayush Jain, Rohitash Chandra, Divyanshu Singh Chauhan, 2021, PloS one.

Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron

Rohitash Chandra, Arti Pillay, Janhavi Lande, 2023, PloS one.

Systematic Down-Selection of Repurposed Drug Candidates for COVID-19

S. Murugesan, M. Cooper, S. Vasan, 2022, Data.

An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis

Rohitash Chandra, Mukul Ranjan, Chaarvi Bansal, 2023, Natural Language Processing Journal.

COVID-19 sentiment analysis via deep learning during the rise of novel cases

Rohitash Chandra, Aswin Krishna, 2021, PloS one.

Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system

Snigdha Jain, Rohitash Chandra, Yuanqing Xia, 2023, Comput. Methods Programs Biomed..

A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data

B. Pradhan, R. Müller, A. B. Pour, 2022, Remote. Sens..

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

Rohitash Chandra, A. Khan, Omkar Chaudhari, 2023, ArXiv.

Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams

Cristián Bravo, Rohitash Chandra, Fengrui Tian, 2023, ArXiv.

Predicting the emplacement of Cordilleran porphyry copper systems using a spatio-temporal machine learning model

R. Müller, Rohitash Chandra, J. Díaz-Rodríguez, 2021 .

Deep learning for predicting respiratory rate from biosignals

Shuli Guo, Lina Han, Rohitash Chandra, 2022, Comput. Biol. Medicine.

Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown

Rohitash Chandra, A. Tiwari, Rishabh Gupta, 2021, ArXiv.

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Laurence O. W. Wilson, M. Kang, Rohitash Chandra, 2022, PloS one.

A clustering and graph deep learning-based framework for COVID-19 drug repurposing

P. R. Deepa, Rohitash Chandra, Vinti Agarwal, 2023, ArXiv.

Recursive deep learning framework for forecasting the decadal world economic outlook

J. Hawkins, Rohitash Chandra, R. Beard, 2023, ArXiv.

Computer vision-based framework for extracting geological lineaments from optical remote sensing data pdf

R. Dietmar Müller, Hugo K. H. Olierook, Chris Clark, 2018, arXiv.org.

Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning

Sally Cripps, Rohitash Chandra, Nathaniel Butterworth, 2021, Environ. Model. Softw..

3DWofE: An open-source software package for three-dimensional weights of evidence modeling

Abbas Bahroudi, Ehsan Farahbakhsh, Ardeshir Hezarkhani, 2020, Softw. Impacts.

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

Rohitash Chandra, A. Khan, Omkar Chaudhari, 2023, Expert Systems with Applications.

Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams

Cristián Bravo, Rohitash Chandra, Fengrui Tian, 2023, ArXiv.

Evolutionary bagging for ensemble learning

Rohitash Chandra, R. Beard, Giang Ngo, 2022, Neurocomputing.

Remote sensing framework for geological mapping via stacked autoencoders and clustering

E. Farahbakhsh, Rohitash Chandra, Sandeep Nagar, 2024, ArXiv.