| Boosted ensemble learning for anomaly detection in 5G RAN T Sundqvist, MH Bhuyan, J Forsman, E Elmroth IFIP international conference on artificial intelligence applications and …, 2020 | 21 | 2020 |
| Robust procedural learning for anomaly detection and observability in 5G RAN T Sundqvist, M Bhuyan, E Elmroth IEEE Transactions on Network and Service Management 21 (2), 1432-1445, 2023 | 9 | 2023 |
| Uncovering latency anomalies in 5G RAN-A combination learner approach T Sundqvist, M Bhuyan, E Elmroth 2022 14th International Conference on COMmunication Systems & NETworkS …, 2022 | 7 | 2022 |
| Unsupervised root-cause identification of software bugs in 5G RAN T Sundqvist, M Bhuyan, E Elmroth 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | 4 | 2022 |
| Measuring and modelling of humidity penetration in an electronic control unit O Björnham, T Sundqvist | 1 | 2000 |
| Bottleneck identification and failure prevention with procedural learning in 5G RAN T Sundqvist, M Bhuyan, E Elmroth 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | | 2023 |
| Machine learning-based diagnostics and observability in mobile networks T Sundqvist Umeå universitet, 2023 | | 2023 |