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Mahsa Raeiszadeh
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2020 – today
- 2024
- [j3]Mahsa Raeiszadeh, Hooman Tahayori, Ali Bahadori-Jahromi:
PECMS: modeling a personalized energy and comfort management system based on residents' behavior anticipation in smart home. J. Reliab. Intell. Environ. 10(2): 123-136 (2024) - [j2]Mahsa Raeiszadeh
, Amin Ebrahimzadeh
, Roch H. Glitho
, Johan Eker
, Raquel A. F. Mini:
Real-Time Adaptive Anomaly Detection in Industrial IoT Environments. IEEE Trans. Netw. Serv. Manag. 21(6): 6839-6856 (2024) - [c4]Mahsa Raeiszadeh, Felipe Estrada Solano, Roch H. Glitho, Johan Eker, Raquel A. F. Mini:
A Data-Driven Approach for Adaptive Real-Time Log Parsing in Cloud Environments. MeditCom 2024: 173-178 - 2023
- [c3]Mahsa Raeiszadeh, Ahsan Saleem, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini:
A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming. CCNC 2023: 449-454 - [c2]Mahsa Raeiszadeh, Amin Ebrahimzadeh, Ahsan Saleem, Roch H. Glitho, Johan Eker, Raquel A. F. Mini:
Real-Time Anomaly Detection Using Distributed Tracing in Microservice Cloud Applications. CloudNet 2023: 36-44 - [c1]Ahsan Saleem, Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini:
A Deep Learning Approach for Root Cause Analysis in Real-Time IIoT Edge Networks. NOMS 2023: 1-5
2010 – 2019
- 2019
- [j1]Mahsa Raeiszadeh, Hooman Tahayori
, Andrea Visconti:
Discovering varying patterns of Normal and interleaved ADLs in smart homes. Appl. Intell. 49(12): 4175-4188 (2019)
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