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Toplam kayıt 54, listelenen: 10-29
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Bibliometric analysis of publications on house dust mites during 1980-2018
(ELSEVIER ESPANA SLU, 2020)Background: The global prevalence of allergic diseases has increased dramatically in recent years and are now recognized as significant chronic diseases worldwide. One of the most important allergens that causes allergic ... -
Blind video quality assessment via spatiotemporal statistical analysis of adaptive cube size 3D-DCT coefficients
(INST ENGINEERING TECHNOLOGY-IET, 2020)There is an urgent need for a robust video quality assessment (VQA) model that can efficiently evaluate the quality of a video content varying in terms of the distortion and content type in the absence of the reference ... -
Block classical Gram-Schmidt-based block updating in low-rank matrix approximation
(Scientific Technical Research Council Turkey-Tubitak, 2018)Low-rank matrix approximations have recently gained broad popularity in scientific computing areas. They are used to extract correlations and remove noise from matrix-structured data with limited loss of information. ... -
Bulut Tabanlı Öğrenme Yönetim Sistemi Seçiminde Bulanık Çok Kriterli Karar Analizi Yaklaşımı
(2020)Bulut bilişim teknolojisinin gelişmesiyle öğrenme yönetim sistemleri (ÖYS’ler) yeni özellikler ve servis seçenekleri kazanmıştır. Buna bağlı olarak artan ürün alternatifleri arasından seçim yapma süreci zorlaşmıştır. Belli ... -
A Comparative Study On Segmentation And Classification In Breast Mri Imaging
(Inst Integrative Omics & Applied Biotechnology, 2018)Background: Breast cancer is the type of cancer that develops from cells in the breast tissue. The breast cancer is leading cancer in women. One in every eight to nine women has breast cancer at some point during their ... -
Comparison of MLP neural network and neuro-fuzzy system in transcranial doppler signals recorded from the cerebral vessels
(Springer, 2008)Transcranial Doppler signals recorded from cerebral vessels of 110 patients were transferred to a personal computer by using a 16 bit sound card. Spectral analyses of Transcranial Doppler signals were performed for determining ... -
Comparison of Two-Parameter Bernstein Operator and Bernstein-Durrmeyer Variants
(Springer Singapore Pte Ltd, 2018)The quantum calculus and the post-quantum calculus have recently gained broad popularity in computational science and engineering due to their applications to diverse areas such as solution of differential equations, ... -
Crop pest classification with a genetic algorithm-based weighted ensemble of deep convolutional neural networks
(ELSEVIER SCI LTD, 2020)Insects are among the important causes of significant losses in crops such as rice, wheat, corn, soybeans, sugarcane, chickpeas, potatoes. Identification of insect species in the early period is crucial so that the necessary ... -
Çok Ölçütlü Karar Verme Yöntemleri ile Ekokardiyografi Cihazı Seçiminin Yapılması
(2017)Amaç: Medikal cihazlar hastanelerde en çok bütçe ayrılan kalemlerdendir. Bu nedenle medikal cihaz alım kararı kritik kararlardan biridir. Bu çalışmada, bir devlet hastanesinde Kardiyoloji Servisine alınması planlanan ... -
A Deep Camouflage: Evaluating Android's Anti-malware Systems Robustness Against Hybridization of Obfuscation Techniques with Injection Attacks
(Springer Heidelberg, 2019)The threats facing smartphones have become one of the most dangerous cyberspace threats; therefore, many solutions have been developed in the commercial or academic domain to address these threats. This paper aims to test ... -
Design of a Tracking Welding Robot Automation System for Manufacturing of Steam and Heating Boilers
(2018)For satisfying customers companies want to respond to customer requests on time. At the same time, they expect production process to be completed with low cost and low loss. For this reason, the importance of mechanization ... -
Detection of breast cancer via deep convolution neural networks using MRI images
(SPRINGER, 2020)Breast cancer is the type of cancer that develops from cells in the breast tissue. It is the leading cancer in women. Early detection of the breast cancer tumor is crucial in the treatment process. Mammography is a valuable ... -
Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network
(SPRINGER LONDON LTD, 2020)Introduction Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we used ... -
Diagnosis of Pneumonia from Chest X-Ray Images using Deep Learning
(Ieee, 2019)Pneumonia is a disease which occurs in the lungs caused by a bacterial infection. Early diagnosis is an important factor in terms of the successful treatment process. Generally, the disease can be diagnosed from chest X-ray ... -
An Efficient Encoding Algorithm Using Local Path on Huffman Encoding Algorithm for Compression
(Mdpi, 2019)Huffman encoding and arithmetic coding algorithms have shown great potential in the field of image compression. These algorithms are the origin of current image compression techniques. Nevertheless, there are some deficiencies ... -
An Efficient Middle Layer Platform for Medical Imaging Archives
(Hindawi Ltd, 2018)Digital medical image usage is common in health services and clinics. These data have a vital importance for diagnosis and treatment; therefore, preservation, protection, and archiving of these data are a challenge. Rapidly ... -
Eğitimde Tablet Bilgisayar Kullanımına Yönelik Özel Okul Öğretmenlerinin Görüşleri
(2016)Bu çalışmada, Bahçeşehir Kolejlerinin Ankara, Kocaeli, Kayseri, Adana, Tokat, İzmir, Burhaniye ve Edirne’de yer alan kampüslerindeki 257 öğretmenin eğitimde tablet bilgisayar kullanımıyla ilgili görüşleri belirlenmeye ... -
Examination of static and 50 Hz electric field effects on tissues by using a hybrid genetic algorithm and neural network
(Wiley, 2008)The effects of electric fields on tissue are the main subject of many investigations. The importance of this subject comes from the electrical properties of the cell membrane and its sensitivity to changes in electrical ... -
An Examination Of The Correlation Between Science And Technology Attitudes Scale, Frequency Of Smartphone Usage Scale And Lifelong Learning Scale Scores Using The Structural Equation Model
(Sci Methodical Ctr-Sci Educologica, 2017)Lifelong learning can be defined as all of the activities which aim to develop an individual's skills, knowledge and abilities, socially, individually and professionally. Previous research on lifelong learning has been ... -
First-principles investigation of LaGaO3 and LaInO3 lanthanum perovskite oxides
(Taylor & Francis Ltd, 2016)Among the class of ABO(3)-type perovskite oxides, LaMO3 (M=Ga and In) compounds are investigated in cubic (Pm-3m), tetragonal (P4mm), hexagonal (P-3m1), rhombohedral (R-3c) and orthorhombic (Pbnm) phases using generalised ...