[HTML][HTML] Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Principles and methods of scaling geospatial Earth science data

Y Ge, Y Jin, A Stein, Y Chen, J Wang, J Wang… - Earth-Science …, 2019 - Elsevier
The properties of geographical phenomena vary with changes in the scale of measurement.
The information observed at one scale often cannot be directly used as information at …

AI-based modeling and data-driven evaluation for smart manufacturing processes

M Ghahramani, Y Qiao, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Smart manufacturing refers to optimization techniques that are implemented in production
operations by utilizing advanced analytics approaches. With the widespread increase in …

A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories

A Belhadi, Y Djenouri, G Srivastava… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This paper addresses the taxi fraud problem and introduces a new solution to identify
trajectory outliers. The approach as presented allows to identify both individual and group …

Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

[HTML][HTML] Tales of a city: Sentiment analysis of urban green space in Dublin

M Ghahramani, NJ Galle, C Ratti, F Pilla - Cities, 2021 - Elsevier
Social media services such as TripAdvisor and Foursquare can provide opportunities for
users to exchange their opinions about urban green space (UGS). Visitors can exchange …

Trajectory outlier detection: New problems and solutions for smart cities

Y Djenouri, D Djenouri, JCW Lin - ACM Transactions on Knowledge …, 2021 - dl.acm.org
This article introduces two new problems related to trajectory outlier detection:(1) group
trajectory outlier (GTO) detection and (2) deviation point detection for both individual and …

A novel technique for behavioral analytics using ensemble learning algorithms in E-commerce

M Alojail, S Bhatia - IEEE Access, 2020 - ieeexplore.ieee.org
The era of E-commerce and availability of data in every field of operations in an enormous
volume that implies to Big Data is one of the biggest sources of competitive advantage for …

Deviation point curriculum learning for trajectory outlier detection in cooperative intelligent transport systems

U Ahmed, G Srivastava, Y Djenouri… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation
systems, which can be used to provide safety, sustainability, efficiency, communication and …

[HTML][HTML] A systematic review of mobile phone data in crime applications: a coherent taxonomy based on data types and analysis perspectives, challenges, and future …

M Okmi, LY Por, TF Ang, W Al-Hussein, CS Ku - Sensors, 2023 - mdpi.com
Digital technologies have recently become more advanced, allowing for the development of
social networking sites and applications. Despite these advancements, phone calls and text …