| A survey on river water quality modelling using artificial intelligence models: 2000–2020 Tiyasha, TM Tung, ZM Yaseen Journal of Hydrology 585, 124670, 2020 | 513 | 2020 |
| Groundwater level prediction using machine learning models: A comprehensive review H Tao, MM Hameed, HA Marhoon, M Zounemat-Kermani, S Heddam, ... Neurocomputing 489, 271-308, 2022 | 211 | 2022 |
| Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models SK Bhagat, T Tiyasha, SM Awadh, TM Tung, AH Jawad, ZM Yaseen Environmental Pollution 268, 115663, 2021 | 107 | 2021 |
| Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models T Tiyasha, TM Tung, SK Bhagat, ML Tan, AH Jawad, WHMW Mohtar, ... Marine pollution bulletin 170, 112639, 2021 | 72 | 2021 |
| Deep Learning for Prediction of Water Quality Index Classification: Tropical Catchment Environmental Assessment Tiyasha, TM Tung, ZM Yaseen Natural Resources Research, 1-20, 2021 | 67 | 2021 |
| Manganese (Mn) removal prediction using extreme gradient model SK Bhagat, T Tiyasha, TM Tung, RR Mostafa, ZM Yaseen Ecotoxicology and Environmental Safety 204, 111059, 2020 | 65 | 2020 |
| Laundry wastewater treatment using a combination of sand filter, bio-char and teff straw media ZM Yaseen, TT Zigale, Tiyasha, SQ Salih, S Awasthi, TM Tung, ... Scientific Reports 9 (1), 18709, 2019 | 63 | 2019 |
| Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model SK Bhagat, K Pyrgaki, SQ Salih, T Tiyasha, U Beyaztas, S Shahid, ... Chemosphere 276, 130162, 2021 | 57 | 2021 |
| Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions H Tao, ZS Al-Khafaji, C Qi, M Zounemat-Kermani, O Kisi, T Tiyasha, ... Engineering Applications of Computational Fluid Mechanics 15 (1), 1585-1612, 2021 | 56 | 2021 |
| Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater SK Bhagat, KE Pilario, OE Babalola, T Tiyasha, M Yaqub, CE Onu, ... Journal of Cleaner Production 385, 135522, 2023 | 51 | 2023 |
| Evaluating physical and fiscal water leakage in water distribution system SK Bhagat, Tiyasha, W Welde, O Tesfaye, TM Tung, N Al-Ansari, SQ Salih, ... Water 11 (10), 2091, 2019 | 36 | 2019 |
| State-of-the art-powerhouse, dam structure, and turbine operation and vibrations ZM Yaseen, AMS Ameen, MS Aldlemy, M Ali, H Abdulmohsin Afan, S Zhu, ... Sustainability 12 (4), 1676, 2020 | 31 | 2020 |
| Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models SK Bhagat, M Paramasivan, M Al-Mukhtar, T Tiyasha, K Pyrgaki, TM Tung, ... Environmental Science and Pollution Research 28, 31670-31688, 2021 | 28 | 2021 |
| Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects SK Bhagat, T Tiyasha, A Kumar, T Malik, AH Jawad, KM Khedher, ... Journal of Environmental Management 309, 114711, 2022 | 25 | 2022 |
| Dual water choices: The assessment of the influential factors on water sources choices using unsupervised machine learning market basket analysis T Tiyasha, SK Bhagat, F Fituma, TM Tung, S Shahid, ZM Yaseen IEEE Access 9, 150532-150544, 2021 | 19 | 2021 |
| ECONOMICAL APPROACHES FOR THE TREATMENT AND REUTILIZATION OF LAUNDRY WASTEWATER - A REVIEW SK BHAGAT, TIYASHA, DN BEKELE Jr. of Industrial Pollution Control 34 (2), 2164-2178, 2018 | 16 | 2018 |
| Impact of millions of tones of effluent of textile industries: analysis of textile industries effluents in Bhilwara and an approach with bioremediation. SK Bhagat, T Tiyasha | 14 | 2013 |
| Establishment of Dynamic Evolving Neural‐Fuzzy Inference System Model for Natural Air Temperature Prediction SK Bhagat, T Tiyasha, Z Al-Khafaji, P Laux, AA Ewees, TA Rashid, S Salih, ... Complexity 2022 (1), 1047309, 2022 | 10 | 2022 |
| Delineation of urban expansion and drought-prone areas using vegetation conditions and other geospatial indices B Halder, T Tiyasha, S Shahid, ZM Yaseen Theoretical and Applied Climatology 149 (3), 1277-1295, 2022 | 9 | 2022 |
| Conversion of chicken rice waste into char via hydrothermal, pyrolysis, and microwave carbonization processes: a comparative study MA Abdulqader, MA Suliman, TA Ahmed, R Wu, A Bobaker, T Tiyasha, ... AUIQ Complementary Biological System 1 (1), 1-9, 2024 | 8 | 2024 |
Suraj BhagatCollege of Environmental SciencesVerified email at osu.edu
