Yazar "Peker, Musa" için listeleme
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Büyük ölçekli veri setleri için GPU hızlandırmalı melez bir GA-DVM: CuGA-DVM
Peker, Musa; Özkaraca, Osman (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
Bakbak, Pinar Ozkan; Peker, Musa (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 decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM
Peker, Musa (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 ... -
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
Coşkun, Mustafa; Gürüler, Hüseyin; İstanbullu, Ayhan; Peker, Musa (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 ... -
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms
Peker, Musa (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 ... -
Enerji Tasarruflu Bina Tasarımı için Isıtma ve Soğutma Yüklerini Regresyon Tabanlı Makine Öğrenmesi Algoritmaları ile Modelleme
Kesimal, Betül; Özkaraca, Osman; Peker, Musa (2017)Günümüzde bilişim teknolojileri hemen hemen her alanda kullanılmaktadır. Enerji sektörü de bu alanlardan birisidir. Nüfusun gün geçtikçe artmasıyla birlikte bina sayısı ve binaların enerji talebi de artmıştır. Enerji ... -
A Fuzzy Logıc Based Clınıcal Decısıon Support System for Emergency Servıces
Özkaraca, Osman; Acar, Ethem; Peker, Musa; Türk, Erdem (2018)Emergency departments are one of the most important units in the hospital where there are special units and many problems. At the beginning of these problems, emergency services are crowded and urgent patient care planning ... -
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
Ballı, Serkan; Sağbaş, Ensar Arif; Peker, Musa (Sage Publications Ltd, 2019)Background: Detecting of human movements is an important task in various areas such as healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile applications. These applications provide users, ... -
Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction
Faaeq, Ainuddin; Gürüler, Hüseyin; Peker, Musa (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 ... -
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
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 ... -
Karmaşik Değerlikli Sinir Ağlari Için Bir Yazilim Araci: CV-ANN
Gürüler, Hüseyin; Peker, Musa (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 ... -
A Medical Decision Support System Based on Ensemble of Complex-Valued Radial Basis Function Networks
Peker, Musa; Gürüler, Hüseyin; İstanbullu, Ayhan (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 ... -
A mobile solution based on soft computing for fall detection
Ballı, Serkan; Sağbaş, Ensar Arif; Peker, Musa (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 ... -
A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform
Peker, Musa (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 NEW FUZZY LOGIC BASED CAREER GUIDANCE SYSTEM: WEB-CGS
Peker, Musa; Gürüler, Hüseyin; Şen, Baha; İstanbullu, Ayhan (Univ Osijek, Tech Fac, 2017)Choosing a career affects individuals' social life deeply in terms of many dimensions. However, choosing the right career is becoming increasingly difficult given the existence of an increasing number of professions and ... -
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
Sağbaş, Ensar Arif; Peker, Musa; Ballı, Serkan (Ieee, 2017)The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 ... -
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
Peker, Musa; Sen, Baha; Gürüler, Hüseyin (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 ... -
Signal detection based on empirical mode decomposition and Teager-Kaiser energy operator and its application to P and S wave arrival time detection in seismic signal analysis
Kırbaş, İsmail; Peker, Musa (Springer, 2017)Determining P and S wave arrival times while minimizing noise is a major problem in seismic signal analysis. Precise determination of earthquake onset arrival timing, determination of earthquake magnitude, and calculation ... -
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
Gürüler, Hüseyin; Peker, Musa; Baysal, Ömür (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 ... -
Use of Orange Data Mining Toolbox for Data Analysis in Clinical Decision Making: The Diagnosis of Diabetes Disease
Peker, Musa; Özkaraca, Osman; Şaşar, Ali (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 ...
