| Groundwater vulnerability assessment: A review including new statistical and hybrid methods N Taghavi, RK Niven, DJ Paull, M Kramer Science of the Total Environment 822, 153486, 2022 | 80 | 2022 |
| Barriers to adoption of RPAs on construction projects: a task–technology fit perspective H Golizadeh, MR Hosseini, DJ Edwards, S Abrishami, N Taghavi, ... Construction Innovation 19 (2), 149-169, 2019 | 71 | 2019 |
| Comparison of DRASTIC and DRASTICL groundwater vulnerability assessments of the Burdekin Basin, Queensland, Australia N Taghavi, RK Niven, M Kramer, DJ Paull Science of the Total Environment 858, 159945, 2023 | 25 | 2023 |
| Bayesian Optimization with Informative Parametric Models via Sequential Monte Carlo R Oliveira, R Scalzo, R Kohn, S Cripps, K Hardman, J Close, N Taghavi, ... Data-Centric Engineering 3, e5, 2022 | 1 | 2022 |
| Extracting the Curve-number Map of Watersheds of Lighvan Chay in GIS Environment N Taghavi Journal of Fundamental and Applied Sciences 9 (1S), 511-524, 2017 | 1 | 2017 |
| Model Ranking Metrics for Groundwater Vulnerability Assessment Using Bayesian Inference N Taghavi, RK Niven, M Kramer, DJ Paull Proceedings of the 24th Australasian Fluid Mechanics Conference (AFMC 2024 …, 2024 | | 2024 |
| Quantifying Uncertainty in Groundwater Vulnerability Assessment: a Bayesian Approach N Taghavi, R Niven, D Paull, M Kramer Bulletin of the American Physical Society, 2024 | | 2024 |
| Bayesian groundwater vulnerability assessment N Taghavi, RK Niven, DJ Paull, M Kramer MODSIM 2021 Conference, 2021 | | 2021 |
Matthias KramerSenior Lecturer, University of New South Wales (UNSW) Canberra在 adfa.edu.au 的电子邮件经过验证
