Mardin Meslek Yüksekokulu

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Browsing Mardin Meslek Yüksekokulu by Author "17.03. Department of Electronics and Automatization / Elektronik ve Otomasyon Bölümü"

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    Article
    Citation - WoS: 6
    Citation - Scopus: 19
    Automatic Detection of Brain Tumors With the Aid of Ensemble Deep Learning Architectures and Class Activation Map Indicators by Employing Magnetic Resonance Images
    (Elsevier, 2024) Turk, Omer; Ozhan, Davut; Acar, Emrullah; Akinci, Tahir Cetin; Yilmaz, Musa; Türk, Ömer; Özhan, Davut; 08.01. Department of Computer Engineering / Bilgisayar Mühendisliği Bölümü; 17.03. Department of Electronics and Automatization / Elektronik ve Otomasyon Bölümü; 08. Faculty of Engineering and Architecture / Mühendislik Mimarlık Fakültesi; 17. Vocational Higher School / Meslek Yüksekokulu; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
    Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal cells begin to form in masses in the brain regions. Nowadays, many different techniques are employed to detect these tumor masses, and the most common of these techniques is Magnetic Resonance Imaging (MRI). In this study, it is aimed to automatically detect brain tumors with the help of ensemble deep learning architectures (ResNet50, VGG19, InceptionV3 and MobileNet) and Class Activation Maps (CAMs) indicators by employing MRI images. The proposed system was implemented in three stages. In the first stage, it was determined whether there was a tumor in the MR images Tumor) were detected from MR images (Multi-class Approach). In the last stage, CAMs of each tumor group were created as an alternative tool to facilitate the work of specialists in tumor detection. The results showed that the overall accuracy of the binary approach was calculated as 100% on the ResNet50, InceptionV3 and MobileNet architectures, and 99.71% on the VGG19 architecture. Moreover, the accuracy values of 96.45% with ResNet50, 93.40% with VGG19, 85.03% with InceptionV3 and 89.34% with MobileNet architectures were obtained in the multi-class approach.
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    Article
    Citation - WoS: 2
    Citation - Scopus: 1
    Comparison of near sets by means of a chain of features
    (2016) Özcan, A. Fatih; Bağırmaz, Nurettin; Bağırmaz, Nurettin; 17.03. Department of Electronics and Automatization / Elektronik ve Otomasyon Bölümü; 17. Vocational Higher School / Meslek Yüksekokulu; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
    If the number of features of objects in a perceptual system, is large, then the objects can be known better and comparable. In this paper basically, we form a chain of feature sets that describe objects and then by means of this chain of feature sets, we investigate the nearness of sets and near sets in a perceptual system
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    Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity
    (Sustainability, 2021) Kurt, Erol; Özhan, Davut; Özhan, Davut; Bizon, Nicu; Lopez-Guede, Jose Manuel; 17.03. Department of Electronics and Automatization / Elektronik ve Otomasyon Bölümü; 17. Vocational Higher School / Meslek Yüksekokulu; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
    In this work, a maximum power point tracking (MPPT) system for its application to a new piezoelectric wind energy harvester (PWEH) has been designed and implemented. The motivation for such MPPT unit comes from the power scales of the piezoelectric layers being in the order of μW. In addition, the output generates highly disturbed voltage waveforms with high total harmonic distortion (THD), thereby high THD values cause a certain power loss at the output of the PWEH system and an intense motivation is given to design and implement the system. The proposed MPPT system is widely used for many different harvesting studies, however, in this paper it has been used at the first time for such a distorted waveform to our best knowledge. The MPPT consists of a rectifier unit storing the rectified energy into a capacitor with a certain voltage called VOC (i.e., the open circuit voltage of the harvester), then a dc-dc converter is used with the help of the MPPT unit using the half of VOC as the critical value for the performance of the control. It has been demonstrated that the power loss is nearly half of the power for the MPPT-free system, the efficiency has been increased with a rate of 98% and power consumption is measured as low as 5.29 μW
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    Article
    Citation - WoS: 5
    Near ideals in near semigroups
    (EUROPEAN JOURNAL PURE & APPLIED MATHEMATICS, 2018) Bağırmaz, Nurettin; Bağırmaz, Nurettin; 17.03. Department of Electronics and Automatization / Elektronik ve Otomasyon Bölümü; 17. Vocational Higher School / Meslek Yüksekokulu; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
    In this paper, we introduced the notion of near subsemigroups, near ideals, near bi-ideals and homomorphisms of near semigroups on near approximation spaces. Then we give some properties of these near structures.