Norwegian version
Paal Engelstad

Paal Engelstad

Fields of study

Academic disciplines

Communication and distributed systems   Security and vulnerability



Scientific publications

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.

Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (2022). Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems . Vol. 256.

Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2022). Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks. IEEE Sensors Journal . Vol. 22.

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) .

Aryan, Ramtin; Yazidi, Anis; Brattensborg, Frode Henriksen; Kure, Øivind; Engelstad, Paal E. (2022). SDN Spotlight: A real-time OpenFlow troubleshooting framework. Future generations computer systems . Vol. 133.

Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (2022). A personality-aware group recommendation system based on pairwise preferences. Information Sciences . Vol. 595.

Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (2020). Exploiting SWIPT for IoT NOMA-based Diamond Relay Networks. Mühlhäuser, Max; Polyzos, George C.; Michahelles, Florian; Guinea, Alejandro Sánchez; Wang, Lin (Ed.). MobiQuitous '20: Computing, Networking and Services, Virtual Event / Darmstadt, Germany, December 7-9, 2020. ACM 2020. 15. p. 137-146. ACM Digital Library.

Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal (2020). A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature. IEEE Internet of Things Journal .

Rauniyar, Ashish; Yazidi, Anis; Engelstad, Paal E.; Østerbø, Olav Norvald (2020). A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA. Avresky, Dimiter R. (Ed.). 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA). S8. IEEE.

Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (2020). An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access. Darwazeh, Izzat; Aghvami, Hamid (Ed.). 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. S5. IEEE.

These publications are obtained from Cristin. The list may be incomplete