Andrew P Duncan PhD
Andrew P Duncan PhD
Associate Research Fellow, University of Exeter
Verified email at - Homepage
Cited by
Cited by
Application of artificial neural networks for dengue fever outbreak predictions in the northwest coast of Yucatan, Mexico and San Juan, Puerto Rico
AE Laureano-Rosario, AP Duncan, PA Mendez-Lazaro, JE Garcia-Rejon, ...
Tropical Medicine and Infectious Disease 3 (1), 5, 2018
Urban flood prediction in real-time from weather radar and rainfall data using artificial neural networks
A Duncan, AS Chen, E Keedwell, S Djordjevic, D Savic
International Association of Hydrological Sciences, 2011
An analysis of domestic water consumption in Jaipur, India
SMK Sadr, F Memon, A Jain, S Gulati, AP Duncan, W Hussein, D Savić, ...
SCIENCEDOMAIN International, 2016
RAPIDS: Early warning system for urban flooding and water quality hazards
A Duncan, AS Chen, E Keedwell, S Djordjevic, D Savic
CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation
M Guidolin, A Duncan, B Ghimire, M Gibson, E Keedwell, AS Chen, ...
HIC 2012, 2012
Intelligent urban water infrastructure management
D Savic, J Bicik, MS Morley, A Duncan, Z Kapelan, S Djordjevic, ...
Indian Institute of Science, 2013
The analysis and application of artificial neural networks for early warning systems in hydrology and the environment
AP Duncan
University of Exeter, 2014
Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks
AE Laureano-Rosario, AP Duncan, EM Symonds, DA Savic, ...
Journal of water and health 17 (1), 137-148, 2019
Machine Learning-Based Early Warning System for Urban Flood Management
AP Duncan, EC Keedwell, S Djordjevic, DA Savic
ICFR 2013: International Conference on Flood Resilience: Experiences in Asia …, 2013
Urban pluvial flood modelling with real time rainfall information–UK case studies
A Schellart, S Ochoa, N Simões, LP Wang, M Rico-Ramirez, S Liguori, ...
IWA (International Water Association), 2011
Improving prediction of dam failure peak outflow using neuroevolution combined with K-means clustering
AH Eghbali, K Behzadian Moghadam, F Hooshyaripor, R Farmani, ...
Journal of Hydrologic Engineering 22 (6), 2017
New acoustic acquisition and processing method assist in delineating structure in an exploration play in the Gulf of Mexico
D Patterson, D Middleton, C Bourgeois, T Quinn, A Duncan, K Sabaa, ...
SPWLA 57th Annual Logging Symposium, 2016
Comparison of machine learning classifier models for bathing water quality exceedances in UK
AP Duncan, D Tyrrell, N Smart, EC Keedwell, S Djordjevic, DA Savic
IAHR35, Chengdu, China, 2013
An investigation into domestic water consumption and water use habits in Indian urban areas
S Sadr, F Memon, A Duncan, A Jain, S Gulati, W Hussien, D Savic, ...
Adeyeye, 1750
Development and application of a multi-objective-optimization and multi-criteria-based decision support tool for selecting optimal water treatment technologies in india
SMK Sadr, MB Johns, FA Memon, AP Duncan, J Gordon, R Gibson, ...
Water 12 (10), 2836, 2020
Design of a graphical framework for simple prototyping of pluvial flooding cellular automata algorithms
M Guidolin, A Duncan, E Keedwell, AS Chen, S Djordjevic, D Savic
Centre for Water Systems, University of Exeter, 2011
An Investigation into Domestic Water Consumption to Assist Decision Making on Water Efficiency in Urban Areas of India
SMK Sadr, A Jain, S Gulati, F Memon, W Hussein, AP Duncan, D Savić, ...
Water Efficiency Network, 2015
Comparison of Many-Objective Optimisation and Multi-Criteria Analysis for Improved Water Energy Efficient Design of Water Treatment Works for India
AP Duncan, SMK Sadr, FA Memon, DA Savic
Proceedings of the Water Efficiency Conference, 2015
Hydrological applications of artificial neural networks
A Duncan
University of Exeter, 2010
RAPIDS: Early Warning System for Urban Flooding and Water Quality Hazards (Extended Abstract)
AP Duncan, AS Chen, EC Keedwell, S Djordjevic, DA Savic
Artificial Intelligence and Simulation of Behaviour 2013 (Machine Learning …, 2013
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