| Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi, M Ihsan, H Abbass Expert systems with applications 185, 115695, 2021 | 200 | 2021 |
| Applications of machine learning in thermochemical conversion of biomass-A review SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq, MT Mehran, ... Fuel 332, 126055, 2023 | 128 | 2023 |
| A comparative study of machine learning methods for bio-oil yield prediction–A genetic algorithm-based features selection Z Ullah, SR Naqvi, W Farooq, H Yang, S Wang, DVN Vo Bioresource Technology 335, 125292, 2021 | 103 | 2021 |
| Artificial neural networks for the prediction of biochar yield: a comparative study of metaheuristic algorithms M Khan, Z Ullah, O Mašek, SR Naqvi, MNA Khan Bioresource technology 355, 127215, 2022 | 82 | 2022 |
| An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis Z Ullah, M Khan, SR Naqvi, MNA Khan, W Farooq, MW Anjum, MW Yaqub, ... Process Safety and Environmental Protection 162, 337-345, 2022 | 39 | 2022 |
| Machine learning applications in biofuels’ life cycle: Soil, feedstock, production, consumption, and emissions I Ahmad, A Sana, M Kano, II Cheema, BC Menezes, J Shahzad, Z Ullah, ... Energies 14 (16), 5072, 2021 | 26 | 2021 |
| Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization Z Ullah, N Yoon, BK Tarus, S Park, M Son Desalination 558, 116614, 2023 | 19 | 2023 |
| Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling S Park, N Yoon, Z Ullah, BK Tarus, B Choi, HH Kim, M Son Journal of Power Sources 580, 233322, 2023 | 9 | 2023 |
| Recent Progress in Oxidative Dehydrogenation of Alkane (C2–C4) to Alkenes in a Fluidized Bed Reactor Under Mixed Metallic Oxide Catalyst Z Ullah, M Khan, I Khan, A Jamil, U Sikandar, MT Mehran, M Mubashir, ... Journal of Inorganic and Organometallic Polymers and Materials 34 (1), 1-13, 2024 | 8 | 2024 |
| Desalination performance in versatile capacitive/battery deionization configurations using a cation intercalating electrode BK Tarus, Z Ullah, YAC Jande, KN Njau, J Byun, M Son Desalination, 117857, 2024 | 3 | 2024 |
| (Invited) Comparison of Tree-Based Model with Deep Learning Model for Predicting Effluent pH and Concentration in an Electrochemical Water Desalination Process Z Ullah, N Yun, M Son Electrochemical Society Meeting Abstracts prime2024, 4848-4848, 2024 | | 2024 |
| (Invited) A Random Forest–Based Artificial Intelligence Model Decoupling Ion Concentrations from Effluent Conductivity in Capacitive Deionization: Implications … H Kim, B Choi, Z Ullah, N Jeong, KH Cho, S Park, SS Baek, M Son Electrochemical Society Meeting Abstracts prime2024, 4849-4849, 2024 | | 2024 |
| Reinforcement Learning and Machine Learning Controllers for Enhancing Water Quality and Process Efficiency in Electrochemical Desalination Z Ullah, N Yun, R Rossi, M Son ACS ES&T Water 4 (12), 5482-5491, 2024 | | 2024 |
| Exploring Tree-Based and Deep Learning Models for Predicting pH and Concentration Using Standard Deviation Data in an Electrochemical Water Desalination N Jeong, Z Ullah, M Son PRiME 2024 (October 6-11, 2024), 2024 | | 2024 |
| Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model HH Kim, B Choi, Z Ullah, N Jeong, KH Cho, S Park, SS Baek, M Son Water Research 262, 122092, 2024 | | 2024 |
| Artificial neural network modeling for the oxidation kinetics of divalent manganese ions during chlorination and the role of arsenite ions in the binary/ternary systems Z Liao, KW Choi, Z Ullah, M Son, Y Ahn, MA Khan, SM Prabhu, BH Jeon Water Research, 121876, 2024 | | 2024 |
| Fabrication and Characterization of Zn/Sn di-Sulfide Based Composites as Anodic Electrode for Next Generation Zinc-Ion Batteries Z Ullah Department of Physics COMSATS University Lahore, 2022 | | 2022 |
Dr. Salman Raza NaqviAssociate Professor, Karlstad UniversityBestätigte E-Mail-Adresse bei kau.se