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Ahsan Saleem
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2020 – today
- 2023
- [c4]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 - [c3]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 - [c2]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 - 2020
- [j2]Ahsan Saleem
, Abid Khan
FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network. IEEE Internet Things J. 7(7): 6132-6142 (2020) - [c1]Zaheer Abbass, Zain Ali, Mubashir Ali, Bilal Akbar, Ahsan Saleem:
A Framework to Predict Social Crime through Twitter Tweets By Using Machine Learning. ICSC 2020: 363-368
2010 – 2019
- 2018
- [j1]Ahsan Saleem
Recent advancements in garbled computing: How far have we come towards achieving secure, efficient and reusable garbled circuits. J. Netw. Comput. Appl. 108: 1-19 (2018)
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last updated on 2024-04-29 20:29 CEST by the dblp team
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