Ara
Toplam kayıt 7, listelenen: 1-7
Analysis Of A Novel High Performance Induction Air Heater
(Vinca Inst Nuclear Sci, 2018)
This study represents an experimental and numerical investigation of the enhanced prototypes of the induction air heaters. For this purpose, flow field is enhanced in order to avoid turbulence. The air mass flow rate, ...
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 ...
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 ...
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 ...
VisDroid: Android malware classification based on local and global image features, bag of visual words and machine learning techniques
(SPRINGER LONDON LTD, 2020)
In this paper, VisDroid, a novel generic image-based classification method has been suggested and developed for classifying the Android malware samples into its families. To this end, five grayscale image datasets each of ...
Android malware detection based on image-based features and machine learning techniques
(SPRINGER INTERNATIONAL PUBLISHING AG, 2020)
In this paper, a malware classification model has been proposed for detecting malware samples in the Android environment. The proposed model is based on converting some files from the source of the Android applications ...