Ara
Toplam kayıt 6, listelenen: 1-6
Adaptive neuro-fuzzy inference system combined with genetic algorithm to improve power extraction capability in fuel cell applications
(Elsevier, 2021)
This study introduces an improved ANFIS based MPPT method to maximize the power extraction capability of the FC-connected system. The proposed method is tested in a stand-alone system that consists of an FC in the power ...
Output voltage control of double chambers microbial fuel cell using intelligence-based optimized adaptive neuro fuzzy inference controller
(Elsevier, 2022)
Microbial fuel cell (MFC) has become a very important biotechnological tool to produce clean energy in recent years. It is very important to adjust the output voltage and power density in order to obtain the desired energy ...
Is Kalina cycle or organic Rankine cycle for industrial waste heat recovery applications? A detailed performance, economic and environment based comprehensive analysis
(Elsevier, 2022)
Contrary to the increase in energy demand throughout the world, fossil fuels, which are the main energy source, is now more difficult to reach because of the pandemic, transport or bilateral relations, etc. These obstacles ...
Görüntü Tabanlı Kamera Konumlandırma İçin Farklı Eniyileme Tekniklerinin Başarım Değerlendirmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)
In this study, the performance evaluation of different optimization methods in calculating the change of camera movement, in other words the camera position and angle, was made on images taken from different views with the ...
Design of intelligence-based optimized adaptive fuzzy PID controllers for a two chamber microbial fuel cell
(Wiley, 2022)
The output voltage of microbial fuel cells (MFCs) needs to be controlled effectively to improve the operating efficiency of MFC system against the load variations, disturbances, and uncertainties. The output voltage control ...
Data clustering using leaders and followers optimization and differential evolution
(Elsevier, 2022)
Data clustering is an important research topic in data mining. Although cluster analysis based on optimization algorithms has attracted great attention, optimization-based techniques face difficul-ties due to the non-linear ...