Optimal recharging scheduling for urban electric buses: A case study in Davis Y Wang, Y Huang, X Jiuping, N Barclay Transportation Research Part E: Logistics and Transportation Review 100, 115-132, 2017 | 276 | 2017 |
Sustainability as a route to broadening participation in engineering L Klotz, G Potvin, A Godwin, J Cribbs, Z Hazari, N Barclay Journal of engineering education 103 (1), 137-153, 2014 | 113 | 2014 |
Role of community participation for green stormwater infrastructure development N Barclay, L Klotz Journal of Environmental Management 251, 2019 | 54 | 2019 |
High school experiences and climate change beliefs of first year college students in the United States T Shealy, L Klotz, A Godwin, Z Hazari, G Potvin, N Barclay, J Cribbs Environmental Education Research 25 (6), 925-935, 2019 | 42 | 2019 |
Disciplinary differences in engineering students' aspirations and self-perceptions G Potvin, Z Hazari, L Klotz, A Godwin, RM Lock, JD Cribbs, N Barclay 2013 ASEE Annual Conference & Exposition, 23.438. 1-23.438. 11, 2013 | 28 | 2013 |
Social barriers and the hiatus from successful green stormwater infrastructure implementation across the US J Qi, N Barclay Hydrology 8 (1), 10, 2021 | 17 | 2021 |
Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning JQ Qi, M Smith, N Barclay SoutheastCon 2022, pp. 316-322, 2022 | 10 | 2022 |
Water Quality Predictions for Urban Streams Using Machine Learning L Jalagam, N Shepherd, J Qi, N Barclay, M Smith SoutheastCon 2023, 217-223, 2023 | 8 | 2023 |
Implementing BIM and finite element analysis in a structural integrity investigation of curtain walls GP Patil, D Chen, G Mayo, J Smithwick, N Barclay Journal of Facility Management Education and Research 3 (1), 27-37, 2019 | 8 | 2019 |
Assessment of advanced LiDAR based tools for enhanced flood prediction N Barclay, M Smith SoutheastCon 2021, 1-5, 2021 | 7 | 2021 |
Culvert Condition Prediction via Artificial Neural Network Machine Learning-Based Models using SMOTE C Schultz, C McNinch, J Qi, M Smith, N Barclay SoutheastCon 2023, 618-625, 2023 | 6 | 2023 |
Sustainability Approach: Food Waste-to-Energy Solutions for Small Rural Developing Communities S Hobbs, E Morton, N Barclay, A Landis The International Journal of Environmental, Cultural, Economic, and Social …, 2018 | 6 | 2018 |
Addressing the social barriers to green stormwater infrastructure in residential areas from a socio-ecological perspective J Qi, N Barclay Journal of Environmental Management 313, 114987, 2022 | 5 | 2022 |
Development and Implementation of Adaptive Learning to Engage Learners in Engineering Technology N Barclay, CD Westine, A Claris, F Martin Journal of Formative Design in Learning, 2020 | 2 | 2020 |
Problem-based Learning: Perceptions and Impact on Student Learning in a Sustainable Infrastructure Course N Barclay 2020 ASEE Virtual Annual Conference, https://peer.asee.org/35086, 2020 | 1 | 2020 |
Data engineering for predictive machine learning of stormwater infrastructure conditions N Roberts, M Smith, J Qi Engineering Applications of Artificial Intelligence 133, 108195, 2024 | | 2024 |
Prediction of Watershed Flow Behavior from Rainfall Events Using Machine Learning C Reid, M Williams, N Roberts, M Smith SoutheastCon 2024, 305-310, 2024 | | 2024 |
Improved Operation Forecasting of Air Blowers in a Wastewater Treatment Plant via Machine Learning-based Models J Logan, N Roberts, M Smith SoutheastCon 2024, 165-170, 2024 | | 2024 |
Data-Driven Analytics Tools to Support Prioritized Management of Stormwater Infrastructure N Barclay, M Smith, J Qi NC WRRI, 2023 | | 2023 |
Modeling the Adoption of Green Stormwater Infrastructure Considering Cognitive Biases J Qi, N Barclay Available at SSRN 4388264, 2023 | | 2023 |