A Deep Learning Approach for Root Cause Analysis of Application Anomalies for Real-Time IIoT

Ahsan Saleem, Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch Glitho, Johan Eker, Raquel Mini

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Original language	English
Title of host publication	Proceedings of 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023)
Publication status	Published - 2023 May 8

Subject classification (UKÄ)

@inproceedings{40863d79e20b453981ec43f95412f496,

title = "A Deep Learning Approach for Root Cause Analysis of Application Anomalies for Real-Time IIoT",

author = "Ahsan Saleem and Mahsa Raeiszadeh and Amin Ebrahimzadeh and Roch Glitho and Johan Eker and Raquel Mini",

year = "2023",

month = may,

day = "8",

language = "English",

booktitle = "Proceedings of 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023)",

}

TY - GEN

T1 - A Deep Learning Approach for Root Cause Analysis of Application Anomalies for Real-Time IIoT

AU - Saleem, Ahsan

AU - Raeiszadeh, Mahsa

AU - Ebrahimzadeh, Amin

AU - Glitho, Roch

AU - Eker, Johan

AU - Mini, Raquel

PY - 2023/5/8

Y1 - 2023/5/8

M3 - Paper in conference proceeding

BT - Proceedings of 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023)

ER -