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Divesh Ranjan Kumar

Showing results (1-10 of 6) with videos related to

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Scientific Reports|July 21, 2025
Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approachesDivesh Ranjan Kumar, Warit Wipulanusat
Scientific Reports|November 11, 2024
Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ashK Lini Dev, Divesh Ranjan Kumar, Warit Wipulanusat
Scientific Reports|July 2, 2025
Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plateIrwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, et al.
Biodegradation|June 26, 2025
Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewaterSaurabh Kumar, Saurabh Kumar, Divesh Ranjan Kumar, et al.
Journal of Environmental Quality|June 5, 2026
Integrated assessment of corrosion behaviour in drinking water distribution systems using experimental analysis, machine learning, and a unified corrosion-scaling indexSaurabh Kumar, Divesh Ranjan Kumar, Reena Singh, et al.
Scientific Reports|April 5, 2025
A machine learning approach for corrosion rate modeling in Patna water distribution network of BiharSaurabh Kumar, Uruya Weesakul, Divesh Ranjan Kumar, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|July 21, 2025
Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approachesDivesh Ranjan Kumar, Warit Wipulanusat
Scientific Reports|November 11, 2024
Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ashK Lini Dev, Divesh Ranjan Kumar, Warit Wipulanusat
Scientific Reports|July 2, 2025
Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plateIrwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, et al.
Biodegradation|June 26, 2025
Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewaterSaurabh Kumar, Saurabh Kumar, Divesh Ranjan Kumar, et al.
Journal of Environmental Quality|June 5, 2026
Integrated assessment of corrosion behaviour in drinking water distribution systems using experimental analysis, machine learning, and a unified corrosion-scaling indexSaurabh Kumar, Divesh Ranjan Kumar, Reena Singh, et al.
Scientific Reports|April 5, 2025
A machine learning approach for corrosion rate modeling in Patna water distribution network of BiharSaurabh Kumar, Uruya Weesakul, Divesh Ranjan Kumar, et al.
Pageof 1