Başlık için 6.Araştırma Çıktıları / Research Outcomes(WOS-Scopus-TR-Dizin-PubMed) listeleme
Toplam kayıt 2563, listelenen: 261-280
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Astragalus topalanense (Fabaceae), a new species from Turkey
(2016)Astragalus topalanense Behçet & İlçim sp. nov. (section Malacothrix Bunge) is described as a new species from Bingöl Province, East Anatolia in Turkey. The new species is similar to Astragalus macrouroides Hub.-Mor., a ... -
ASTROLOGY, ASTRONOMY, AND MEDICINE IN HAMDANIDS
(2019)From the 10th century onwards, the impoverishment of the Abbasids' political authority over the decentralized cities resulted in cities with long-established cultural and scientific backgrounds, such as Mosul and Aleppo, ... -
Attenuation of sodium arsenite-induced cardiotoxicity and neurotoxicity with the antioxidant, anti-inflammatory, and antiapoptotic effects of hesperidin
(2021)In the scope of the study, the protective effect of hesperidin (HES), a flavanone glycoside, was investigated against sodium arsenite (NaAsO2, SA) induced heart and brain toxicity. For this purpose, 35 Sprague-Dawley male ... -
Automatic Airport Detection with Line Segment Detector and Histogram of Oriented Gradients from Satellite Images [Doǧru Parçasi Algilayicisi ve Yönlü Gradyanlarin Histogrami ile Uydu Görüntülerinden Otomatik Havaalani Tespiti]
(2019)Airports are extremely critical targets in both economic and military areas. The earlier detection of these regions provides a very important intelligence information for making that regions unusable against a possible ... -
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
COVID-19 was first reported as an unknown group of pneumonia in Wuhan City, Hubei province of China in late December of 2019. The rapid increase in the number of cases diagnosed with COVID-19 and the lack of experienced ... -
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
(2021)COVID-19 was first reported as an unknown group of pneumonia in Wuhan City, Hubei province of China in late December of 2019. The rapid increase in the number of cases diagnosed with COVID-19 and the lack of experienced ... -
Automatic detection of cursor movements from the EEG signals via deep learning approach
(2020)The classification of motor imagery (MI) tasks is one of the key objectives of EEG-based brain-computer interface (BCI) systems. To ensure successful classification performance to BCI systems, researchers endeavor to extract ... -
Automatic digital modulation classification using extreme learning machine with local binary pattern histogram features
(2019)Discrimination of the Local Binary Pattern (LBP) in the classification of different digital modulation types was investigated in this study. It has been shown that LBP can be used as a feature extraction method for AMC ... -
Automatic Thresholding Method Developed with Entropy for Fabric Defect Detection
(2019)Fabric defect detection is one of the most important areas for quality control of products in the textile industry. Many different studies have developed methods for this problem. In this study, an automatic thresholding ... -
Azure A Removal from Aqueous System Using Natural and Modified (Grape Stalk and Pomegranate Peel) Adsorbents
(2017)Grape stalk (GS) and pomegranate peel (PP) were chemically modified with hydrochloric acid and applied as potential adsorbents for the removal of Azure A, one of the products of oxidized methylene blue, from aqueous ...
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