Mohamed R. Ibrahim
Cited by
Cited by
Understanding cities with machine eyes: A review of deep computer vision in urban analytics
MR Ibrahim, J Haworth, T Cheng
Cities 96, 102481, 2020
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning
MR Ibrahim, H Titheridge, T Cheng, J Haworth
Computers, Environment and Urban Systems 76, 31-56, 2019
How do people select their residential locations in Egypt? The case of Alexandria
MR Ibrahim
Cities 62, 96-106, 2017
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision
MR Ibrahim, J Haworth, T Cheng
Environment and Planning B: Urban Analytics and City Science, 2399808319846517, 2019
Variational-LSTM Autoencoder to forecast the spread of coronavirus across the globe
MR Ibrahim, J Haworth, A Lipani, N Aslam, T Cheng, N Christie
PloS one 16 (1), e0246120, 2021
A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt
MR Ibrahim
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
MR Ibrahim, J Haworth, T Cheng
ISPRS International Journal of Geo-Information 8 (12), 549, 2019
Will distance to the capital city matter when supplying new cities in Egypt?
MR Ibrahim, HE Masoumi
GeoScape 10 (2), 35-52, 2016
The nuances of the supplied urban fabric in the MENA Region: Evidence from Alexandria, Egypt
MR Ibrahim, HE Masoumi
Land Use Policy 73, 385-399, 2018
Improving Living Conditions in Informal Settlements The Case of El-Arab, Hurghada
A Khalil, A Abd El-Aal, N Quintero, H Aayash, M Abd El-Wahab, M Ibrahim, ...
Procedia Environmental Sciences 34, 13-24, 2016
Cycling near misses: A review of the current methods, challenges and the potential of an AI-embedded system
MR Ibrahim, J Haworth, N Christie, T Cheng, S Hailes
Transport Reviews, 2020
Re-designing cities with conditional adversarial networks
MR Ibrahim, J Haworth, N Christie
arXiv preprint arXiv:2104.04013, 2021
ActivityNET: Neural networks to predict trip purposes in public transport from individual smart card data and POIs.
NS Aslam, M Ibrahim, T Cheng, H Chen, Y Zhang
Preprints, 2021
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
MR Ibrahim, J Haworth, N Christie, T Cheng
arXiv preprint arXiv:2102.00565, 2021
The Relation Between Residential Self-Selection and Urban Mobility in Middle Eastern Cities: the Case of Alexandria, Egypt
H Masoumi, MR Ibrahim, AB Aslam
Urban Forum, 1-27, 2021
Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London
N Sari Aslam, D Zhu, T Cheng, MR Ibrahim, Y Zhang
Annals of GIS, 1-13, 2020
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