Paal Engelstad

Vitenskapelige publikasjoner

Erdmann, Niklas; Bentsen, Lars Ødegaard; Stenbro, Roy; Riise, Heine Nygard; Warakagoda, Narada Dilp; Engelstad, Paal (2024). Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle. Conference record of the Photovoltaic Specialists Conference.
https://doi.org/10.1109/PVSC57443.2024.10748862

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2024). Relative evaluation of probabilistic methods for spatio-temporal wind forecasting. 14 s. Journal of Cleaner Production. Vol. 434.
https://doi.org/10.1016/j.jclepro.2023.139944

Khan, Mehak; Borges Moreno e Mello, Gustavo ; Habib, Laurence ; Engelstad, Paal ; Yazidi, Anis (2024). HITS-based Propagation Paradigm for Graph Neural Networks. ACM Transactions on Knowledge Discovery from Data. Vol. 18.
https://doi.org/10.1145/3638779

Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E. ; Djenouri, Youcef; Yazidi, Anis (2024). A graph neural approach for group recommendation system based on pairwise preferences. 16 s. Information Fusion. Vol. 107.
https://doi.org/10.1016/j.inffus.2024.102343

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

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. Gregory, Mark A.; Li, Shuo (Red.). Proceedings of the 2023 33rd International Telecommunication Networks and Applications Conference (ITNAC). s. 128-133. IEEE conference proceedings.
https://doi.org/10.1109/ITNAC59571.2023.10368523

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. 18 s. 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 (Red.). Computer Analysis of Images and Patterns. CAIP 2023. s. 212-222. Springer.
https://doi.org/10.1007/978-3-031-44240-7_21

Khan, Mehak; Borges Moreno e Mello, Gustavo ; Engelstad, Paal E. ; Habib, Laurence ; Yazidi, Anis (2023). HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. Tsumoto, Shusaku; Ohsawa, Yukio; Chen, Lei; Van den Poel, Dirk; Hu, Xiaohua; Motomura, Yoichi (Red.). 2022 IEEE International Conference on Big Data . IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/BigData55660.2022.10020815

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 (Red.). Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. s. 461-474. Springer Nature.
https://doi.org/10.1007/978-3-031-08223-8_38

Forskningsrapporter

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 s. Telenor R&I.

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

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

Formidling

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.

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

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.

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.

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 .

Engelstad, Paal E. ; Hammer, Hugo Lewi ; Yazidi, Anis ; Bai, Aleksander (2015). Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC).