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Nicole Roberts (Barclay)
Nicole Roberts (Barclay)
University of North Carolina at Charlotte
Verified email at charlotte.edu
Title
Cited by
Cited by
Year
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
2722017
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
1122014
Role of community participation for green stormwater infrastructure development
N Barclay, L Klotz
Journal of Environmental Management 251, 2019
542019
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
402019
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
282013
Social barriers and the hiatus from successful green stormwater infrastructure implementation across the US
J Qi, N Barclay
Hydrology 8 (1), 10, 2021
172021
Empirical Data-Based Condition Prediction for Stormwater Pipelines with Machine Learning
JQ Qi, M Smith, N Barclay
SoutheastCon 2022, pp. 316-322, 2022
102022
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
82019
Water Quality Predictions for Urban Streams Using Machine Learning
L Jalagam, N Shepherd, J Qi, N Barclay, M Smith
SoutheastCon 2023, 217-223, 2023
72023
Assessment of advanced LiDAR based tools for enhanced flood prediction
N Barclay, M Smith
SoutheastCon 2021, 1-5, 2021
72021
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
62023
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
62018
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
52022
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
22020
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
12020
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
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