Yayın tarihi için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 68, listelenen: 41-60
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The Android Malware Static Analysis: Techniques, Limitations, and Open Challenges
(Ieee, 2018)This paper aims to explain static analysis techniques in detail, and to highlight the weaknesses and challenges which face it. To this end, more than 80 static analysis based framework have been studied, and in their light, ... -
Analysis of efficiency of tunnel type induction furnace inductors with respect to variation of diameter of heated workpiece
(Gazi Univ, Fac Engineering Architecture, 2018)In this study, calculations of net efficiency of heating process of aluminum billets those diameters are different from the diameter of the inductor were aimed. The targeted aluminum extrusion facilities utilize induction ... -
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 ... -
Tünel tipi indüksiyon fırını indüktörlerinde ısıtılacak parça çapının değişimine bağlı olarak sistem veriminin analizi
(2018)Bu çalışmada indüksiyon ısıtma sistemi kullanan alüminyum ekstrüzyon tesislerinde bobin dizayn çapındanfarklı çaplarda biyet ısıtılmasına bağlı olarak verim değişiminin deneysel ve sayısal modellemesi ile analizedilmesi ... -
Investigating Faculty Members’ Perceived Usability of Edmodo Learning Management System
(2019)New developments in the field of computer science have allowed thedevelopment and dissemination of the systems that universities use tosupport their educational processes. Among these systems, learningmanagement systems ... -
The Android malware detection systems between hope and reality
(Springer International Publishing Ag, 2019)The widespread use of Android-based smartphones made it an important target for malicious applications' developers. So, a large number of frameworks have been proposed to tackle the huge number of daily published malwares. ... -
Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm
(Mdpi, 2019)Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin cancer by computerized systems. However, automatic segmentation of skin lesions in dermoscopic images is a challenging task owing to ... -
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 ... -
Kantorovich-type generalization of parametric Baskakov operators
(Wiley, 2019)In this manuscript, we define a Kantorovich generalization of the nonnegative parametric Baskakov operators. After that, the weighted uniform convergence of the generalized operators is proved. Also, we present Voronovskaja-type ... -
Parametric generalization of Baskakov operators
(Univ Osijek, Dept Mathematics, 2019)Herein we propose a non-negative real parametric generalization of Baskakov operators and call them alpha-Baskakov operators. We show that alpha-Baskakov operators can be expressed in terms of divided differences. Then, ... -
Statistical Edge Detection and Circular Hough Transform for Optic Disk Localization
(Mdpi, 2019)Accurate and efficient localization of the optic disk (OD) in retinal images is an essential process for the diagnosis of retinal diseases, such as diabetic retinopathy, papilledema, and glaucoma, in automatic retinal ... -
Analysis Of Interoperability In Cloud Computing
(Assoc Computing Machinery, 2019)Today most of traditional forms of education are not suitable for requirements of educational development and can't keep up with changes in learning demand over time, but Computer networks have provided many opportunities ... -
Alternate Low-Rank Matrix Approximation in Latent Semantic Analysis
(Hindawi Ltd, 2019)The latent semantic analysis (LSA) is a mathematical/statistical way of discovering hidden concepts between terms and documents or within a document collection (i.e., a large corpus of text). Each document of the corpus ... -
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 ... -
The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis
(Hindawi Ltd, 2020)Acute appendicitis is one of the most common emergency diseases in general surgery clinics. It is more common, especially between the ages of 10 and 30 years. Additionally, approximately 7% of the entire population is ... -
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 ... -
Kidney and Renal Tumor Segmentation Using a Hybrid V-Net-Based Model
(MDPI, 2020)Kidney tumors represent a type of cancer that people of advanced age are more likely to develop. For this reason, it is important to exercise caution and provide diagnostic tests in the later stages of life. Medical imaging ... -
Integration search strategies in tree seed algorithm for high dimensional function optimization
(SPRINGER HEIDELBERG, 2020)The tree-seed algorithm, TSA for short, is a new population-based intelligent optimization algorithm developed for solving continuous optimization problems by inspiring the relationship between trees and their seeds. The ... -
On Using Structural Patterns In Data For Classification
(PUSHPA PUBLISHING HOUSE, 2020)There are some interesting approaches for classification such as semi-supervised algorithms, algorithms that learn distance functions, and various extensions and generalizations of support vector machines. In this study, ...