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Toplam kayıt 52, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
A Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey
(Taylor & Francis Inc, 2018)
Heterogeneous networks are environments where networks having different topologies and technologies can be connected. In an environment including more than one heterogeneous access network, selection of a bad network may ...
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques
(Springer, 2020)
Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress ...
A data mining approach to the diagnosis of failure modes for two serial fastened sandwich composite plates
(Sage Publications Ltd, 2017)
The aim of this study is to diagnose and classify the failure modes for two serial fastened sandwich composite plates using data mining techniques. The composite material used in the study was manufactured using glass fiber ...
A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform
(Elsevier Ireland Ltd, 2016)
Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and ...
A comparative evaluation of Gravitational Search Algorithm (GSA) against Artificial Bee Colony (ABC) for thermodynamic performance a geothermal power plant
(Pergamon-Elsevier Science Ltd, 2018)
Optimizing a complex system/problem under real working conditions with optimization methods means ensuring that they operate more efficiently, economical, and eco-friendly. For this purpose, in order to maximize the exergy ...
Using artificial intelligence for modeling of the realistic animal behaviors in a virtual island
(Elsevier, 2019)
The remarkable development of the computer graphic techniques enables the creation and management of more realistic games and virtual environments. However, placing the Artificial Intelligence (AI) in a virtual world get ...