All Outputs (3)

Wireless energy efficient occupancy-monitoring system for smart buildings (2019)
Journal Article
Lasla, N., Doudou, M., Djenouri, D., Ouadjaout, A., & Zizoua, C. (2019). Wireless energy efficient occupancy-monitoring system for smart buildings. Pervasive and Mobile Computing, 59, Article 101037. https://doi.org/10.1016/j.pmcj.2019.101037

© 2019 Elsevier B.V. Rationalizing energy consumption in smart buildings is considered in this paper, and a wireless monitoring system based on Passive Infrared sensors (PIRs) is proposed. The proposed system is pervasive and can be integrated in exi... Read More about Wireless energy efficient occupancy-monitoring system for smart buildings.

Machine learning for smart building applications: Review and taxonomy (2019)
Journal Article
Djenouri, D., Laidi, R., Djenouri, Y., & Balasingham, I. (2019). Machine learning for smart building applications: Review and taxonomy. ACM Computing Surveys, 52(2), 1-36. https://doi.org/10.1145/3311950

© 2019 Association for Computing Machinery. The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first clas... Read More about Machine learning for smart building applications: Review and taxonomy.

A Survey on Urban Traffic Anomalies Detection Algorithms (2019)
Journal Article
Djenouri, Y., Belhadi, A., Lin, J. C., Djenouri, D., & Cano, A. (2019). A Survey on Urban Traffic Anomalies Detection Algorithms. IEEE Access, 7, 12192-12205. https://doi.org/10.1109/access.2019.2893124

© 2019 IEEE. This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups solutions tha... Read More about A Survey on Urban Traffic Anomalies Detection Algorithms.