Yazar "Kacar, Sezgin" için listeleme
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4D chaotic system-based secure data hiding method to improve robustness and embedding capacity of videos
Kacar, Sezgin; Konyar, Mehmet Zeki; Cavusoglu, Unal (Elsevier, 2022)Chaotic systems are used in various applications due to their high security and complexity. Because minor changes in parameters have a significant effect on the output values and the dynamic behavior of the system. Besides, ... -
Artificial Intelligence-Based Prediction of Crude Oil Prices Using Multiple Features under the Effect of Russia-Ukraine War and COVID-19 Pandemic
Jahanshahi, Hadi; Uzun, Suleyman; Kacar, Sezgin; Yao, Qijia; Alassafi, Madini O. (Mdpi, 2022)The effect of the COVID-19 pandemic on crude oil prices just faded; at this moment, the Russia-Ukraine war brought a new crisis. In this paper, a new application is developed that predicts the change in crude oil prices ... -
Deep learning based classification of time series of chaotic systems over graphic images
Uzun, Sueleyman; Kacar, Sezgin; Aricioglu, Burak (SPRINGER, 2024)In this study, for the first time in the literature, identification of different chaotic systems by classifying graphic images of their time series with deep learning methods is aimed. For this purpose, a data set is ... -
DETECTION OF RESISTANCE SPOT WELDING FAULTS IN COPPER MATERIALS BY TRANSFER LEARNING METHOD
Seker, Halil İbrahim; Kacar, Sezgin; Castillo, Oscar; Uzun, Suleyman; Pehlivan, Ihsan; Tatli, Zafer (Institute of Applied Mathematics of Baku State University, 2023)Welding quality is a crucial factor that significantly influences the performance, quality, and strength of products. Therefore, determining weld quality and detecting defects are vital processes in industrial production. ... -
DETECTION OF RESISTANCE SPOT WELDING FAULTS IN COPPER MATERIALS BY TRANSFER LEARNING METHOD
Seker, Halil İbrahim; Kacar, Sezgin; Castillo, Oscar; Uzun, Suleyman; Pehlivan, Ihsan; Tatli, Zafer (MINISTRY COMMUNICATIONS & HIGH TECHNOLOGIES REPUBLIC AZERBAIJAN, 2023)Welding quality is a crucial factor that significantly influences the performance, quality, and strength of products. Therefore, determining weld quality and detecting defects are vital processes in industrial production. ... -
Digital circuit implementation and PRNG-based data security application of variable-order fractional Hopfield neural network under electromagnetic radiation using Grunwald-Letnikov method
Kacar, Sezgin (Springer Heidelberg, 2022)In this study, for the first time in the literature, a Variable-Order Fractional Hopfield Neural Network Under Electromagnetic Radiation (VOFHNNUER) has been presented. Also, for the first time, Pseudo Random Number Generator ... -
A new deep learning model combining CNN for engine fault diagnosis
Sonmez, Eyup; Kacar, Sezgin; Uzun, Suleyman (Springer Science and Business Media Deutschland GmbH, 2023)Real-time condition monitoring of electric motors and early diagnosis is of great importance for ensuring safe and reliable operation, preventing major accidents, and reducing production costs. Therefore, many intelligent ...