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Vijendra Kumar
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Journal Articles

Leveraging level data for accurate downstream flow prediction in the Narmada River Basin with advanced machine learning models

Vijendra Kumar, Namal Rathnayake, S. Hariprasad Reddy, Naresh Kedam, Upaka Rathnayake ...
Journal of Hydroinformatics (2025) 27 (2): 141–158.
DOI: https://doi.org/10.2166/hydro.2025.131
Date Online: 29 January 2025
View articletitled, Leveraging level data for accurate downstream flow prediction in the Narmada River Basin with advanced machine learning models View PDF for article titled, Leveraging level data for accurate downstream flow prediction in the Narmada River Basin with advanced machine learning models
Journal Articles

Flood detection in the Upper Krishna Basin through integrated geospatial analysis: leveraging decision frameworks and statistical measures

Kul Vaibhav Sharma, Prasad Jadhav, Vijendra Kumar, Pranit Dongare, Priyamitra Munoth ...
Journal of Hydroinformatics (2024) 26 (9): 2389–2415.
DOI: https://doi.org/10.2166/hydro.2024.168
Date Online: 13 August 2024
View articletitled, Flood detection in the Upper Krishna Basin through integrated geospatial analysis: leveraging decision frameworks and statistical measures View PDF for article titled, Flood detection in the Upper Krishna Basin through integrated geospatial analysis: leveraging decision frameworks and statistical measures
Journal Articles

Water distribution system modelling of GIS-remote sensing and EPANET for the integrated efficient design

Pranit Dongare, Kul Vaibhav Sharma, Vijendra Kumar, Aneesh Mathew
Journal of Hydroinformatics (2024) 26 (3): 567–588.
DOI: https://doi.org/10.2166/hydro.2023.281
Date Online: 05 March 2024
View articletitled, Water distribution system modelling of GIS-remote sensing and EPANET for the integrated efficient design View PDF for article titled, Water distribution system modelling of GIS-remote sensing and EPANET for the integrated efficient design
Journal Articles

Self-adaptive multi-population-based Jaya algorithm to optimize the cropping pattern under a constraint environment

Vijendra Kumar, S. M. Yadav
Journal of Hydroinformatics (2020) 22 (2): 368–384.
DOI: https://doi.org/10.2166/hydro.2019.087
Date Online: 07 November 2019
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View articletitled, Self-adaptive multi-population-based Jaya algorithm to optimize the cropping pattern under a constraint environment View PDF for article titled, Self-adaptive multi-population-based Jaya algorithm to optimize the cropping pattern under a constraint environment