Fields of study
Academic disciplines
Communication and distributed systems Security and vulnerability
Countries
Research groups
Publications and research
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