Mohamed R. Ibrahim
Mohamed R. Ibrahim
The Alan Turing Institute
Verified email at - Homepage
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
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
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
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
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 48 (1), 76-93, 2021
A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt
MR Ibrahim
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
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 27 (1), 29-41, 2021
ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs
N Sari Aslam, MR Ibrahim, T Cheng, H Chen, Y Zhang
Geo-spatial Information Science 24 (4), 711-721, 2021
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
MR Ibrahim, J Haworth, N Christie, T Cheng
IET Intelligent Transport Systems, 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
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
Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran’s I loss function
F Olsen, C Schillaci, M Ibrahim, A Lipani
Results in Physics 35, 105374, 2022
Re-designing cities with conditional adversarial networks
MR Ibrahim, J Haworth, N Christie
arXiv preprint arXiv:2104.04013, 2021
ImageSig: A signature transform for ultra-lightweight image recognition
MR Ibrahim, T Lyons
Proceedings of the IEEE conference on computer vision and pattern …, 2022
A computer vision system for detecting and analysing critical events in cities
MR Ibrahim
UCL (University College London), 2021
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