The role of optimizers in developing data-driven model for predicting lake water quality incorporating advanced water quality model
2025 · Alexandria Engineering Journal · 10 citations
https://doi.org/10.1016/j.aej.2025.03.022
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Apoorva Bamal
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17
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109
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5
h-index
4
i10-index
Apoorva Bamal is an academic researcher from Ollscoil na Gaillimhe – University of Galway. The author has contributed to research in topics: Hydrological Forecasting Using AI & Water Quality and Pollution Assessment & Water Quality Monitoring Technologies. The author has an h-index of 5, co-authored 15 publications.
ORCID: 0000-0003-4166-6725Papers by this author
worksOptimized intelligent learning for groundwater quality prediction in diverse aquifers of arid and semi-arid regions of India
2025 · Cleaner Engineering and Technology · 6 citations
https://doi.org/10.1016/j.clet.2025.100984
Assessing the impact of hydro-climatic factors on surface water quality: A global review and synthesis
2025 · Journal of Hydrology Regional Studies · 0 citations
https://doi.org/10.1016/j.ejrh.2025.102677
Advancing groundwater quality assessment in Siliguri City of India through the RMS-WQI model incorporating the data-driven approaches
2025 · City and Environment Interactions · 0 citations
https://doi.org/10.1016/j.cacint.2025.100270
A comparative study of ensemble and non-ensemble machine learning methods for predicting river pollution index
2026 · Ecological Informatics · 0 citations
https://doi.org/10.1016/j.ecoinf.2026.103617
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