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Toplam kayıt 19, 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 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 ...
Use of Orange Data Mining Toolbox for Data Analysis in Clinical Decision Making: The Diagnosis of Diabetes Disease
(Igi Global, 2018)
Diabetes is a life-long illness which occurs as a result of lack of insulin hormone or ineffectiveness of insulin hormone. Blood sugar, fructosamine, and hemoglobin A1c (HbA1c) values are widely used for diagnosis of this ...
Büyük ölçekli veri setleri için GPU hızlandırmalı melez bir GA-DVM: CuGA-DVM
(2018)
Bu çalışmada Genetik Algoritma (GA) ve Destek Vektör Makinelerinden (DVM) oluşan melez bir yöntemin CUDA (Compute Unified Device Architecture-Birleşik Hesaplama Aygıt Mimarisi) tabanlı hız optimizasyonu gerçekleştirilmiştir. ...
Novel active-passive compensator-supercapacitor modeling for low-voltage ride-through capability in DFIG-based wind turbines
(Springer, 2019)
Low-voltage ride-through is important for the operation stability of the system in balanced- and unbalanced-grid-fault-connected doubly fed induction generator-based wind turbines. In this study, a new LVRT capability ...
Development of content-based SMS classification application by using Word2Vec-based feature extraction
(Institution of Engineering and Technology, 2019)
While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer benefits to phone users such as price, easy usage, stable, collective and direct communication, SMS (short message service) is still ...
A mobile solution based on soft computing for fall detection
(Springer Science and Business Media Deutschland GmbH, 2019)
Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high-accuracy detection of the falls will contribute in preventing 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 ...