关注
Luke S Hope
Luke S Hope
其他姓名Luke S Smith
Chief Technology Officer, MyArk
在 lukehope.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Assessing the utility of social media as a data source for flood risk management using a real‐time modelling framework
L Smith, Q Liang, P James, W Lin
Journal of Flood Risk Management 10 (3), 370-380, 2017
2552017
Towards a generalised GPU/CPU shallow-flow modelling tool
LS Smith, Q Liang
Computers & Fluids 88, 334-343, 2013
1172013
Smart cities and a data-driven response to COVID-19
P James, R Das, A Jalosinska, L Smith
Dialogues in Human Geography 10 (2), 255-259, 2020
782020
A high-performance integrated hydrodynamic modelling system for urban flood simulations
Q Liang, LS Smith
Journal of Hydroinformatics 17 (4), 518-533, 2015
782015
Towards a hydrodynamic modelling framework appropriate for applications in urban flood assessment and mitigation using heterogeneous computing
LS Smith, Q Liang, PF Quinn
Urban Water Journal 12 (1), 67-78, 2015
282015
New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques
Q Liang, L Smith, X Xia
Journal of Hydrodynamics 28 (6), 977-985, 2016
222016
Estimating vehicle and pedestrian activity from town and city traffic cameras
L Chen, I Grimstead, D Bell, J Karanka, L Dimond, P James, L Smith, ...
Sensors 21 (13), 4564, 2021
182021
Topological integration of BIM and geospatial water utility networks across the building envelope
T Gilbert, P James, L Smith, S Barr, J Morley
Computers, Environment and Urban Systems 86, 101570, 2021
132021
A flexible hydrodynamic modelling framework for GPUs and CPUs: Application to the Carlisle 2005 floods
LS Smith, Q Liang, PF Quinn
International Conference on Flood Resilience: Experiences in Asia and Europe, 2013
102013
Building the Urban Observatory: Engineering the largest set of publicly available real-time environmental urban data in the UK.
L Smith, M Turner
Geophysical Research Abstracts 21, 2019
82019
A GPU-accelerated shallow flow model for tsunami simulations
R Amouzgar, Q Liang, L Smith
Proceedings of the Institution of Civil Engineers-Engineering and …, 2014
72014
A socio-technical ethical process for managing access to smart building data
JC Mace, C Morisset, L Smith
Living in the Internet of Things (IoT 2019), 1-6, 2019
62019
Calibrating a high-performance hydrodynamic model for broad-scale flood simulation: application to Thames Estuary, London, UK
AA Rashid, Q Liang, RJ Dawson, LS Smith
Procedia Engineering 154, 967-974, 2016
52016
Non-negative depth reconstruction for a two-dimensional partial inertial inundation model
H Zhang, Y Wang, Q Liang, LS Smith, CG Kilsby
Journal of Hydroinformatics 16 (5), 1158-1177, 2014
42014
Realizing smart city infrastructure at scale, in the wild: A case study
P James, J Jonczyk, L Smith, N Harris, T Komar, D Bell, R Ranjan
Frontiers in Sustainable Cities 4, 767942, 2022
32022
Infrastructure and city ontologies
L Varga, L McMillan, S Hallett, T Russell, L Smith, I Truckell, A Postnikov, ...
Proceedings of the Institution of Civil Engineers-Smart Infrastructure and …, 2022
22022
Infrastructure Research Ontologies Final Report
L Varga, L McMillan, S Hallett, T Russell, L Smith, I Truckell, A Postnikov, ...
22021
A GPU-accelerated hydrodynamic model for urban flood inundation
Q Liang, LS Smith
35th IAHR World Congress, 2013
22013
A heterogeneous and parallel computing framework for high-resolution hydrodynamic simulations
L Smith, Q Liang
EGU General Assembly Conference Abstracts, 6111, 2015
12015
Computational methods for and applications of high-performance computing in flood simulation
LS Smith
Newcastle University, 2018
2018
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