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Toplam kayıt 17, listelenen: 1-10
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 ...
A Medical Decision Support System Based on Ensemble of Complex-Valued Radial Basis Function Networks
(Igi Global, 2018)
The use of machine learning techniques for medical diagnosis has become increasingly common in recent years because, most importantly, the computer-aided diagnostic systems developed for supporting the experts have provided ...
Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction
(Ieee, 2018)
This paper presents fast categorization or classification of images on an animal dataset using different classification algorithm in combination with manifold learning algorithms. The paper will focus on comparing the ...
A novel intelligent WEB application on refrigerator systems
(Springer Science and Business Media Deutschland GmbH, 2020)
In parallel with the recent development of technology, users’ interest in smart homes is increasing. Many studies have been carried out to develop smarter products having different technology readiness levels (TRL3–TRL6). ...
Öğrencilerin Sınıf içi Duygusal Durumlarının Gerçek Zamanlı Tespit Edilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. ...
The Design and Implementation of A GSM Based User-Machine Interacted Refrigerator
(Ieee, 2015)
Today, many user-machine interacted devices are tailored at the service of people. This paper presents a new low cost smart fridge in which GSM is used as the media of communication between the machine and humans. The ...
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
(Springer, 2015)
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic ...
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
(Springer, 2015)
The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating ...
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
(Univ Catolica de Valparaiso, 2015)
Background: Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the ...
Karmaşik Değerlikli Sinir Ağlari Için Bir Yazilim Araci: CV-ANN
(Institute of Electrical and Electronics Engineers Inc., 2015)
Complex valued artificial neural networks (CVANN); is a kind of artificial neural network of which parameters such as weight, threshold, input and output consisting of complex numbers. In recent years, CVANN has increasing ...