pamukkale university journal of engineering sciences سال:2018 - دوره:24

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pamukkale university journal of engineering sciences
سال:2018 - دوره:24 - شماره:5

A cluster based approach to reduce pattern layer size for generalized regression neural network - صفحه:857-863 A comparative analysis of text classification for Turkish language - صفحه:879-886 A fragile zero watermarking schema to check integrity of relational databases based on discrete cosines transform - صفحه:887-897 A peak power reduction based demand response strategy and load factor maximization oriented electric vehicle parking lot energy management strategy - صفحه:824-830 A relative capacity estimation method for lithium batteries used in electric vehicle applications - صفحه:809-816 Analyzing and improving information gain of metrics used in software defect prediction in decision trees - صفحه:906-914 Application of 24V/20A LLC resonant converter for OLED TVs - صفحه:837-845 Comparison of machine learning techniques for classification of phishing web sites - صفحه:870-878 Comparison of simulated annealing parallelization methods for quadratic assignment problems - صفحه:898-905 Design and implementation of water supply network automation - صفحه:831-836 Genetic algorithm based sensor calibration - صفحه:929-933 Improvement of indoor positioning accuracy of ultra-wide band sensors by using big bang-big crunch optimization method - صفحه:921-928 Improving classification accuracy of motor imagery EEG signals via effective epochs - صفحه:817-823 Integral image based binarization for low-complexity motion estimation - صفحه:850-856 Interdigital capacitor loaded wideband bandstop microstrip filter design - صفحه:846-849 Monitoring nodule progression in chest X-ray images - صفحه:934-941 Performance analysis of different PWM techniques on V/f-based speed control with adjustable boost voltage application for induction motors - صفحه:797-808 Reliability and validity of an innovative method of ROM measurement using Microsoft Kinect V2 - صفحه:915-920 collective learning approach for semi supervised data classification - صفحه:864-869