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Toplam kayıt 17, listelenen: 1-10
Deep neural network approach to estimation of power production for an organic Rankine cycle system
(Springer, 2020)
In this study, the possibility of using Stepwise multilinear regression and deep learning models to estimate the behaviour of the organic Rankine cycle (ORC) has been investigated. It was found that a number of parameters ...
Performance optimization of hybrid fiber concrete according to mechanical properties
(Elsevier, 2020)
In this research, interactional effects of four different fiber types, (steel, glass, synthetic and polypropylene) fly ash replacement ratio with cement, electrical arc furnace slag replacement ratio with natural aggregate ...
Zero-sequence current injection based power flow control strategy for grid inverter interfaced renewable energy systems
(Taylor & Francis, 2020)
This paper deals with an energy management issue for the grid-connected
renewable energy sources connected with unbalanced loads. In the gridconnected energy systems, conventional energy management methods are
used to ...
Parkinson Hastalığı Teşhisi için Yapay Arı Kolonisi Temelli Öznitelik Seçimi
(Institute of Electrical and Electronics Engineers Inc., 2019)
Parkinson's disease can be diagnosed by the speech signals. In general, the data obtained by feature extraction algorithms from the speech signals are used in any classification algorithm. Some of the extracted features ...
Optimum design of alkali activated slag concretes for the low oxygen/chloride ion permeability and thermal conductivity
(Elsevier, 2016)
In this research, individual and interactional effect of curing temperature (CT), curing time (Crime), sodium concentration (SC) and silicate modulus (SM) on the compressive strength, chloride ion permeability, oxygen ...
Identifying the bond and abrasion behavior of alkali activated concretes by central composite design method
(Elsevier, 2017)
In this paper, bond strength and abrasion resistance of alkali activated concretes (AAC) were examined experimentally by using the central composite design (CCD) method. AAC were designed and produced considering the sodium ...
Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
(Institute of Electrical and Electronics Engineers Inc., 2020)
Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a ...
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
(Institute of Electrical and Electronics Engineers Inc., 2021)
Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable-and often prohibitive-CPU ...
A compact triband antipodal Vivaldi antenna with frequency selective surface inspired director for IoT/WLAN applications
(Springer, 2021)
In this paper, an antipodal triband Vivaldi antenna operating in 2.4/5.2/5.8 GHz bands has been presented for WLAN/IoT applications. The proposed antipodal Vivaldi antenna has meander line shaped slotted lines, which are ...
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 ...