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Suraj Kumar Bhagat

Showing results (1-10 of 14) with videos related to

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Journal of Hazardous Materials|August 9, 2020
Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, AustraliaSuraj Kumar Bhagat, Tran Minh Tung, Zaher Mundher Yaseen
Scientific Reports|March 13, 2025
Microstructural and statistical analysis on mechanical performance of novel flattened end nylon fibre reinforced concreteM Sridhar, M Vinod Kumar, N Nagaprasad, et al.
Scientific Reports|March 3, 2026
Assessment of Lasso and Ridge models for soil swelling potential predictionMosenah Turkle Bility, Tarak Vora, Parth Navneetbhai Lakhani, et al.
Ecotoxicology and Environmental Safety|August 14, 2020
Manganese (Mn) removal prediction using extreme gradient modelSuraj Kumar Bhagat, Tiyasha Tiyasha, Tran Minh Tung, et al.
Journal of Contaminant Hydrology|November 28, 2024
Potential health, environmental implication of microplastics: A review on its detectionBhawana Yadav, Payal Gupta, Vinay Kumar, et al.
Environmental Monitoring and Assessment|November 14, 2020
Newly explored machine learning model for river flow time series forecasting at Mary River, AustraliaFang Cui, Sinan Q Salih, Bahram Choubin, et al.
Chemosphere|June 5, 2021
Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence modelSuraj Kumar Bhagat, Konstantina Pyrgaki, Sinan Q Salih, et al.
Environmental Pollution (Barking, Essex : 1987)|October 29, 2020
Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence modelsSuraj Kumar Bhagat, Tiyasha Tiyasha, Salih Muhammad Awadh, et al.
Environmental Science and Pollution Research International|February 21, 2021
Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence modelsSuraj Kumar Bhagat, Mariapparaj Paramasivan, Mustafa Al-Mukhtar, et al.
Scientific Reports|December 18, 2025
HydroPredictor a hybrid machine learning model for addressing data scarcity in groundwater predictionAbdessamad Elmotawakkil, Adil Moumane, Assia Zahi, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Hazardous Materials|August 9, 2020
Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, AustraliaSuraj Kumar Bhagat, Tran Minh Tung, Zaher Mundher Yaseen
Scientific Reports|March 13, 2025
Microstructural and statistical analysis on mechanical performance of novel flattened end nylon fibre reinforced concreteM Sridhar, M Vinod Kumar, N Nagaprasad, et al.
Scientific Reports|March 3, 2026
Assessment of Lasso and Ridge models for soil swelling potential predictionMosenah Turkle Bility, Tarak Vora, Parth Navneetbhai Lakhani, et al.
Ecotoxicology and Environmental Safety|August 14, 2020
Manganese (Mn) removal prediction using extreme gradient modelSuraj Kumar Bhagat, Tiyasha Tiyasha, Tran Minh Tung, et al.
Journal of Contaminant Hydrology|November 28, 2024
Potential health, environmental implication of microplastics: A review on its detectionBhawana Yadav, Payal Gupta, Vinay Kumar, et al.
Environmental Monitoring and Assessment|November 14, 2020
Newly explored machine learning model for river flow time series forecasting at Mary River, AustraliaFang Cui, Sinan Q Salih, Bahram Choubin, et al.
Chemosphere|June 5, 2021
Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence modelSuraj Kumar Bhagat, Konstantina Pyrgaki, Sinan Q Salih, et al.
Environmental Pollution (Barking, Essex : 1987)|October 29, 2020
Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence modelsSuraj Kumar Bhagat, Tiyasha Tiyasha, Salih Muhammad Awadh, et al.
Environmental Science and Pollution Research International|February 21, 2021
Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence modelsSuraj Kumar Bhagat, Mariapparaj Paramasivan, Mustafa Al-Mukhtar, et al.
Scientific Reports|December 18, 2025
HydroPredictor a hybrid machine learning model for addressing data scarcity in groundwater predictionAbdessamad Elmotawakkil, Adil Moumane, Assia Zahi, et al.
Pageof 2