Ara
Toplam kayıt 12, listelenen: 1-10
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 ...
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 ...
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. ...
Classification of sonar echo signals in their reduced sparse forms using complex-valued wavelet neural network
(Springer London Ltd, 2020)
This study aims to identify a method for classifying signals using their reduced sparse forms with a higher degree of accuracy. Many signals, such as sonar, radar, or seismic signals, are either sparse or can be made sparse ...
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 ...
Karma Taguchi ve yüzey yanıt yöntemi kullanılarak astm b574 (hastelloy c-22)'in tornalanması esnasındaki işleme parametrelerinin yüzey pürüzlülüğüne etkisinin incelenmesi ve kesme parametrelerinin optimizasyonu
(2018)
Bu çalışmada ASTM B574 (Hastelloy C-22) malzemesi üzerinde tornalama işlemi sonrasında kesme parametrelerinin (kesme derinliği, kesme hızı, radius, ilerleme hızı, debi, talaş açısı, yanaşma açısı) yüzey pürüzlüğü ve sıcaklık ...
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 ...