Paal Engelstad

Scientific publications

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E. (2023). A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. 23 p. Energies. Vol. 16.
https://doi.org/10.3390/en16207179

Rauniyar, Ashish ; Østerbø, Olav; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. 18 p. Sensors. Vol. 23.
https://doi.org/10.3390/s23083958

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal E. (2023). Unsupervised State Representation Learning in Partially Observable Atari Games. Tsapatsoulis, Nicolas (Ed.). Computer Analysis of Images and Patterns. CAIP 2023. Springer.
https://doi.org/10.1007/978-3-031-44240-7_21

Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E. ; Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. Iliadis, Lazaros; Jayne, Chrisina; Tefas, Anastasios; Pimenidis, Elias (Ed.). Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. p. 461-474. Springer Nature.
https://doi.org/10.1007/978-3-031-08223-8_38

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. 13 p. Applied Energy. Vol. 333.
https://doi.org/10.1016/j.apenergy.2022.120565

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks. 10 p. Journal of Physics: Conference Series (JPCS). Vol. 2362.
https://doi.org/10.1088/1742-6596/2362/1/012005

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. Journal of Physics: Conference Series (JPCS). Vol. 2265.
https://doi.org/10.1088/1742-6596/2265/2/022035

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2022). Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks. 15 p. IEEE Sensors Journal. Vol. 22.
https://doi.org/10.1109/JSEN.2022.3199540

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal (2022). Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. 10 p. IEEE Transactions on Games (TG).
https://doi.org/10.1109/TG.2022.3185330

Meng, Li; Yazidi, Anis ; Goodwin, Morten ; Engelstad, Paal (2022). Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. 9 p. Proceedings of the Northern Lights Deep Learning Workshop.
https://doi.org/10.7557/18.6237

Research reports

Østerbø, Olav Norvald; Engelstad, Paal E. (2008). WLAN QoS Analysis - A New Modelling Approach for 802.11e, Telenor R&I Scientific Report, R28/08. 20 p. Telenor R&I.

Jønvik, Tore; Engelstad, Paal ; Do, Thanh van (2005). Towards the realisation of the Virtual Device Consept. 222 p. Unipub forlag.

Engelstad, Paal E. (2000). Scientific Structures and Research Programs in Digital Communication. 20 p. MNVIT401 essay & Whitepaper.

Dissemination

HaileselassieHagos, Desta; Engelstad, Paal E. ; Yazidi, Anis (2019). Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. ©2019 IEEE. IEEE.

Aryan, Ramtin ; Brattensborg, Frode; Yazidi, Anis ; Engelstad, Paal E. (2019). Checking the OpenFlow Rule Installation and Operational Verification. The 44th IEEE Conference on Local Computer Networks (LCN). IEEE.

Aryan, Ramtin ; Yazidi, Anis ; Engelstad, Paal E. (2018). An Incremental Approach for Swift OpenFlow Anomaly Detection. 2018 IEEE 43rd Conference on Local Computer Networks (LCN). IEEE.

Van Thuan, Do; Engelstad, Paal E. ; Feng, Boning ; Do, van Thanh (2017). Detection of DNS tunneling in mobile networks using machine learning. International Conference on Information Science and Applications 2017 ICISA 2017.

Do, van Thanh ; Engelstad, Paal E. ; Feng, Boning ; Do, Van Thuan (2017). A near real time SMS Grey Traffic detection. 6th International Conference on Software and Computer Applications.

Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Mancini, Federico; Engelstad, Paal E. (2017). An Internal/Insider Threat Score for Data Loss Prevention and Detection. Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics..

Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Engelstad, Paal E. ; Mancini, Federico (2017). Data Loss Prevention for Cross-Domain Instant Messaging. IEEE Symposium Series on Computational Intelligence.

Aryan, Ramtin ; Yazidi, Anis ; Engelstad, Paal E. ; Kure, Øivind (2017). A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. 2017 IEEE 42nd Conference on Local Computer Networks. IEEE 42nd Conference on Local Computer Networks.

Do, Van Thuan; Engelstad, Paal E. ; Boning, Feng; Do, van Thanh (2016). Strengthening mobile network security using machine learning. 13th International Conference on Mobile Web and Intelligent Information Systems. Natalia Kryvinska, University of Vienna, Austria .

Yazidi, Anis ; Bai, Aleksander; Hammer, Hugo Lewi ; Engelstad, Paal E. (2015). A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory. 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems.