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Toplam kayıt 16, listelenen: 11-16
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 ...
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 ...
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
(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, ...