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Design sensitivity and optimization of powertrain mount system design parameters for rigid body modes and kinetic energy distributions
(Springer Nature, 2020-08-24)
This study evaluates the influences of the powertrain mount design parameters on the frequencies of powertrain rigid body modes and their kinetic energy distributions (KEDs), which play an important role in the low-frequency ...
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 ...
Resource allocation for visible light communication systems using simulated annealing based on a problem-specific neighbor function
(IEEE, 2019)
In this paper, we consider a visible light communication (VLC) system with direct current-biased orthogonal frequency division multiplexing (DC-OFDM) and investigate resource allocation for a multi-user environment. Based ...
Can social agents efficiently perform in automated negotiation?
(MDPI, 2021-07)
In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance ...
Coordinated beamforming design for multi-user multi-cell MIMO VLC networks
(IEEE, 2022-06)
Inter-cell interference (ICI) and inter-user interference (IUI) constitute a major issue towards achieving the optimum spectral efficiency (SE) and energy efficiency (EE) performance in multi-cell visible light communication ...
Photogrammetric model optimization in digitalization of architectural heritage: Yedikule fortress
(International Society for Photogrammetry and Remote Sensing, 2023-06-24)
The idea of "digitalization of architectural heritage"has recently gained prominence to represent architectural and historical assets. With all these potentials, this study aims to create optimized models that can be used ...
Numerical analysis and diffuser vane shape optimization of a radial compressor with the open-source software su2
(Turk Isi Bilimi ve Teknigi Dernegi, 2023)
In recent years, the usage of open-source computational fluid dynamics tools is on a rise both in industry and academia. SU2 is one of these open-source tools. Unlike other open-source alternatives, SU2 is equipped with ...
BoB: Bandwidth prediction for real-time communications using heuristic and reinforcement learning
(IEEE, 2023)
Bandwidth prediction is critical in any Real-time Communication (RTC) service or application. This component decides how much media data can be sent in real time. Subsequently, the video and audio encoder dynamically adapts ...
Optimal stiffness tuning for a lower body exoskeleton with spring-supported passive joints
(IEEE, 2018-10-09)
This paper presents a framework to optimally tune the stiffness values of spring-supported passive joints that are included in lower body exoskeletons. First, a dynamic model of a combined human-exoskeleton system was ...
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