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Toplam kayıt 91, listelenen: 1-10
Electrochemical hydrogen generation
(Academic Press Ltd-Elsevier Science Ltd, 2019)
Hydrogen is an important energy carrier resource that is discussed as an alternative to fossil-fuel sources in response to limiting greenhouse gas emissions, health problems, and increased energy demand. Hydrogen is obtained ...
Assessment of the health damage costs of radionuclides releases from Mugla provinces lignite-fired power plants
(Carl Hanser Verlag, 2019)
The health impacts and corresponding damage costs of radioactive emission of Mug. la province lignite-fired power plants have been assessed by using the simplified impact pathway approach. Radiation dose and risk calculations ...
Performance analysis and optimization for maximum exergy efficiency of a geothermal power plant using gravitational search algorithm
(Pergamon-Elsevier Science Ltd, 2019)
The limited energy resources globally, low efficiency of renewable energies, complicated and costly energy conversion systems and environmental pollution have significantly increased scholar's interest in innovative and ...
Comparative thermodynamic evaluation of a geothermal power plant by using the advanced exergy and artificial bee colony methods
(Pergamon-Elsevier Science Ltd, 2018)
In this study, the thermodynamic performance of a binary geothermal power plant (GPP) is comparatively evaluated using the exergy analysis and optimization method. Thus, in addition to routes to improve the thermodynamic ...
Exergoenvironmental analysis for a geothermal district heating system: An application
(Pergamon-Elsevier Science Ltd, 2016)
Energy sources are of great importance in relation to pollution of the world. The use of renewable energy resources and the creation of more efficient energy systems make great contributions to the prevention of greenhouse ...
A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM
(Springer, 2016)
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in ...
Potential of ultrasonic pulse velocity for evaluating the dimensional stability of oak and chestnut wood
(Elsevier, 2016)
The objective of this study was to examine the potential of ultrasonic velocity as a rapid and nondestructive method to predict the dimensional stability of oak (Quercus petraea (Mattuschka) Lieblein) and chestnut (Castanea ...
Diagnosis of transportation modes on mobile phone using logistic regression classification
(Inst Engineering Technology-Iet, 2018)
The aim of this study is to detect transportation modes of people by using smartphone sensors. Therefore, a mobile application was developed for this purpose and global positioning system (GPS), accelerometer, and gyroscope ...
Remote Control-Based Energy Management for Energy Savings in a Central Heating System
(Wiley, 2017)
In this study, to enhance the performance of a central heating system, the following tasks were performed on the system via Radio Frequency modems: collection of data, evaluation of the system, real time monitoring, remote ...
A novel diagnosis system for Parkinson's disease using complex-valued artificial neural network with k-means clustering feature weighting method
(Springer, 2017)
Parkinson's disease (PD) is a degenerative, central nervous system disorder. The diagnosis of PD is difficult, as there is no standard diagnostic test and a particular system that gives accurate results. Therefore, automated ...