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Publikováno v:
Journal of Islamic Marketing, 2024, Vol. 15, Issue 11, pp. 2841-2863.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JIMA-08-2022-0208
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise. Although this issue has been widely discussed in machine learning literature, it has been relatively unexplored
Externí odkaz:
http://arxiv.org/abs/2308.05101
Autor:
Ukil, Minhajul Islam
Publikováno v:
Journal of Entrepreneurship in Emerging Economies, 2022, Vol. 16, Issue 3, pp. 720-741.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEEE-05-2022-0143
This paper addresses the end-to-end sample complexity bound for learning in closed loop the state estimator-based robust H2 controller for an unknown (possibly unstable) Linear Time Invariant (LTI) system, when given a fixed state-feedback gain. We b
Externí odkaz:
http://arxiv.org/abs/2211.16401
Publikováno v:
Society and Business Review, 2023, Vol. 19, Issue 1, pp. 132-154.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SBR-09-2022-0227
Publikováno v:
In Electric Power Systems Research February 2025 239
Publikováno v:
In Journal of Energy Storage 1 January 2025 105
Publikováno v:
IEEE Access, Vol 12, Pp 175240-175251 (2024)
The integration of renewable energy sources into modern power grids presents challenges for load frequency control (LFC) due to the increased system dynamics and uncertainties introduced by variable generation sources. Traditional LFC methods are lim
Externí odkaz:
https://doaj.org/article/c1ec58f8f9ce4b44abeb5efc99c7e3a7
Autor:
Aqib, Muhammad, Ukil, Abhisek
Publikováno v:
In Journal of Energy Storage 1 September 2024 97 Part A