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Toplam kayıt 235, listelenen: 11-20
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 ...
Projections of Turkey's electricity generation and installed capacity from total renewable and hydro energy using fractional nonlinear grey Bernoulli model and its reduced forms
(Elsevier, 2020)
In this study, forecasting of Turkey's total renewable and hydro energy installed capacity and electricity generation from 2019 to 2030 was investigated. For this purpose, fractional nonlinear grey Bernoulli model, briefly ...
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 ...
Investigation on flow and heat transfer of compact brazed plate heat exchanger with lung pattern
(Pergamon-Elsevier Science Ltd, 2020)
This study relates to an evaluation of the thermo-hydraulic performance for a state-of-the-art compact brazer plate heat exchanger (PHE) in 3 kW for 3-plates. To improve heat transfer and pressure drop of the PHE, a lung ...
Experimental thermodynamic evaluation of a real cooling system with seawater-source and heat pump for a hotel in Turkey
(Wiley, 2020)
It is noteworthy that energy consumption is very high in hotels in order to provide the comfort requirements of human beings. Especially in summer season, cooling is an important condition for comfort in a hotel. In hotel ...
LOWER TOLERANCE LIMIT APPROACH TO EQUATION-BASED RATIONAL DESIGN VALUES FOR L-SHAPED MORTISE AND TENON JOINTS
(Soc Wood Sci Technol, 2017)
Statistical lower tolerance limits (LTLs) were computed for the ratios obtained by dividing the test values for 360 L-shaped rectangular mortise and tenon joints consisting of 72 different configurations of five specimens ...
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms
(Elsevier, 2016)
Sleep staging is a significant step in the diagnosis and treatment of sleep disorders. Sleep scoring is a time-consuming and difficult process. Given that sleep scoring requires expert knowledge, it is generally undertaken ...