Now showing items 1-5 of 5
Deep neural network approach to estimation of power production for an organic Rankine cycle system
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
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 ...
A theoretical performance investigation of irreversible internal combustion engine named as Dual-Miller Cycle
(Yildiz Technical Univ, 2020)
Internal combustion engines (ICEs) have harmful effects on the environment in terms of emissions. According to present emission regulations, reducing NOx emissions came into prominence. One of the techniques of reducing ...
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 ...