Urban anomaly analytics: Description, detection, and prediction

M Zhang, T Li, Y Yu, Y Li, P Hui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

A holistic approach for modeling and predicting bike demand

D Tomaras, I Boutsis, V Kalogeraki - Information Systems, 2023 - Elsevier
Bike-sharing systems have enjoyed tremendous success in many major cities around the
world today as a new means of urban public transportation offering a green and facile …

Crowdsourcing techniques for smart urban mobility

D Tomaras - 2018 IEEE International Conference on Pervasive …, 2018 - ieeexplore.ieee.org
The proliferation of smart technologies has provided significant advances in the way people
receive information and interact in smart cities. For instance, smart traffic monitoring systems …

Evaluating the health state of urban areas using multi-source heterogeneous data

D Tomaras, V Kalogeraki, N Zvgouras… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
In recent years we are witnessing a growing interest in identifying various aspects affecting
the quality of life in smart cities, such as traffic congestion and pollution levels, in order to …

Active sampling for subjective video quality assessment

Y Jiang, Q Xu, W Zhang… - 2018 IEEE Fourth …, 2018 - ieeexplore.ieee.org
This paper presents an active sampling framework to achieve economic and robust
subjective Video Quality Assessment (VQA). To overcome the main drawback of paired …