| Improving pipe failure predictions: Factors affecting pipe failure in drinking water networks NA Barton, TS Farewell, SH Hallett, TF Acland Water research 164, 114926, 2019 | 194 | 2019 |
| Using generalized additive models to investigate the environmental effects on pipe failure in clean water networks NA Barton, TS Farewell, SH Hallett Npj Clean Water 3 (1), 31, 2020 | 35 | 2020 |
| The challenges of predicting pipe failures in clean water networks: a view from current practice NA Barton, SH Hallett, SR Jude Water Supply 22 (1), 527-541, 2022 | 30 | 2022 |
| An evolution of statistical pipe failure models for drinking water networks: A targeted review NA Barton, SH Hallett, SR Jude, TH Tran Water Supply 22 (4), 3784-3813, 2022 | 27 | 2022 |
| Predicting the risk of pipe failure using gradient boosted decision trees and weighted risk analysis NA Barton, SH Hallett, SR Jude, TH Tran Npj Clean Water 5 (1), 22, 2022 | 13 | 2022 |
| Using generalized additive models to investigate the environmental effects on pipe failure in clean water networks.” npj Clean Water 3 (1): 31 NA Barton, TS Farewell, SH Hallett | 7 | 2020 |
| 文献抄録 管路破損予測モデルの精度向上: 配水管網における管路破損に影響を及ぼす要因: NA Barton, TS Farewell, SH Hallett and TF Acland," Improving pipe failure predictions: Factors … NA Barton, TS Farewell, SH Hallett, TF Acland 水道協会雑誌= Journal of Japan Water Works Association 92 (4), 54-56, 2023 | | 2023 |
| Proactively managing drinking water distribution networks: A data-driven, statistical modelling approach to predict the risk of pipe failure. NA Barton Cranfield University, 2022 | | 2022 |
| corrected Proof NA Barton, SH Hallett, SR Jude, TH Tran | | 2021 |
