activity
20152021
most citedURBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision

32 citations · 42 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2021★ 8 cited

UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level

Yao Yao, Linlong Li, Zhaotang Liang +9

Vector-based cellular automata (CA) based on real land-parcel has become an important trend in current urban development simulation studies. Compared with raster-based and parcel-b…

cs.CV2021★ 1 cited

CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning

Mohamed R. Ibrahim, James Haworth, Nicola Christie +1

Cycling is a promising sustainable mode for commuting and leisure in cities, however, the fear of getting hit or fall reduces its wide expansion as a commuting mode. In this paper,…

cs.CV2019

WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning

Mohamed R. Ibrahim, James Haworth, Tao Cheng

Extracting information related to weather and visual conditions at a given time and space is indispensable for scene awareness, which strongly impacts our behaviours, from simply w…

cs.CV2018★ 32 cited

URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision

Mohamed R. Ibrahim, James Haworth, Tao Cheng

Within the burgeoning expansion of deep learning and computer vision across the different fields of science, when it comes to urban development, deep learning and computer vision a…

cs.CY2018★ 1 cited

predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning

Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng +1

Identifying current and future informal regions within cities remains a crucial issue for policymakers and governments in developing countries. The delineation process of identifyi…

physics.soc-ph2015

Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

S. Li, S. Dragicevic, F. Anton +8

Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be s…