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Deep Q-learning based optimization of VLC systems with dynamic time-division multiplexing
(IEEE, 2020)
The traditional method to solve nondeterministic-polynomial-time (NP)-hard optimization problems is to apply meta-heuristic algorithms. In contrast, Deep Q Learning (DQL) uses memory of experience and deep neural network ...
Deep reinforcement based power allocation for the max-min optimization in non-orthogonal multiple access
(IEEE, 2020)
NOMA is a radio access technique that multiplexes several users over the frequency resource and provides high throughput and fairness among different users. The maximization of the minimum the data-rate, also known as ...
Minimizing cogging torque in permanent magnet synchronous generators for small wind turbine applications
(Gazi University, 2021-06)
Permanent magnet synchronous generators have a wide usage among electric machines, especially in small wind turbine systems. However permanent magnet synchronous generators suffer from cogging torque due to the magnetic ...
Rethinking temporal demand data to reduce distribution transformer losses: A case study from a Turkish DSO
(IEEE, 2021)
With the increase in digital measurement and monitoring devices in the Turkish electricity grid, the possibilities of processing the obtained data and revealing meaningful information are also increasing. In this project, ...
SLIPT for underwater visible light communications: Performance analysis and optimization
(IEEE, 2021-10)
In this paper, we investigate simultaneous lightwave information and power transfer (SLIPT) for underwater visible light communication systems. We consider three SLIPT methods namely time switching (TS), power splitting ...
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