Boosted Ensemble Learning for Anomaly Detection in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Johan Forsman; Erik Elmroth (AIAI (1), 2020)

Unsupervised root-cause identification of software bugs in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (CCNC, 2022)

Uncovering latency anomalies in 5G RAN - A combination learner approach. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (COMSNETS, 2022)

Bottleneck identification and failure prevention with procedural learning in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (CCGrid, 2023)

Machine learning-based diagnostics and observability in mobile networks - Tobias Sundqvist (2023)

Robust Procedural Learning for Anomaly Detection and Observability in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (IEEE Trans. Netw. Serv. Manag., 2024)