Mohamed R. Ibrahim
Mohamed R. Ibrahim
Lecturer in Spatial Data Science
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
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
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
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
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
Integrating behavioral science and design thinking to develop mobile health interventions: systematic scoping review
P Voorheis, A Zhao, K Kuluski, Q Pham, T Scott, P Sztur, N Khanna, ...
JMIR mHealth and uHealth 10 (3), e35799, 2022
How do people select their residential locations in Egypt? The case of Alexandria
MR Ibrahim
Cities 62, 96-106, 2017
Abnormality detection and intelligent severity assessment of human chest computed tomography scans using deep learning: a case study on SARS-COV-2 assessment
MR Ibrahim, SM Youssef, KM Fathalla
Journal of Ambient Intelligence and Humanized Computing 14 (5), 5665-5688, 2023
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
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
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
Will distance to the capital city matter when supplying new cities in Egypt?
MR Ibrahim, HE Masoumi
GeoScape 10 (2), 35-52, 2016
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
A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt
MR Ibrahim
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
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
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
ImageSig: A signature transform for ultra-lightweight image recognition
MR Ibrahim, T Lyons
Proceedings of the IEEE conference on computer vision and pattern …, 2022
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