English version
Paal Engelstad

Paal Engelstad



Kommunikasjon og distribuerte systemer   Sikkerhet og sårbarhet



Vitenskapelige publikasjoner

Rauniyar, Ashish; Østerbø, Olav; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. 17 s. Sensors. Vol. 23.

Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2022). Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks. 15 s. IEEE Sensors Journal. Vol. 22.

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.

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.

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. 13 s. Applied Energy. Vol. 333.

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 s. Journal of Physics: Conference Series (JPCS). Vol. 2362.

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.

Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (2022). Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. 10 s. IEEE Transactions on Games (TG).

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

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.

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