Ahmet Arslan

TL;DR: The aim of this study is to diagnosis of diabetes disease, which is one of the most important diseases in medical field using Generalized Discriminant Analysis (GDA) and Le least Square Support Vector Machine (LS-SVM) and a new cascade learning system based on Generalizeddiscriminant analysis and Least Square support Vector Machine is proposed.

TL;DR: A fuzzy c-means clustering hybrid approach that combines support vector regression and a genetic algorithm yields sufficient and sensible imputation performance results.

TL;DR: Time-course studies showed levels of inorganic cations were not altered in the growing areas during the first few h of PEG-induced stress, but glucose increased as i/<„ decreased, and the results showed that proline increase is not the cause but could be a consequence of osmotic adjustment, and its increase was not due to cell death.

TL;DR: A decision support system that classifies the Doppler signals of the heart valve to two classes (normal and abnormal) is presented to support the cardiologist using least-squares support vector machine (LS-SVM) classifier instead of ANN.

TL;DR: A laser computer output microfilmer wherein vertical and horizontal misalignment errors between the superimposed data character images and a format slide image are electrically corrected by appropriately incrementing or decrementing the presetting inputs of respective vertical andizontal counters pulsed by line scan synchronizing and clock signals.