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Toplam kayıt 13, listelenen: 1-10
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, ...
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 ...
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 ...
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 ...
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 ...
The Picard and Gauss-Weierstrass Singular Integrals in (p, q)-Calculus
(MALAYSIAN MATHEMATICAL SCIENCES SOC, 2020)
The vast development of the techniques in both the quantum calculus and the post-quantum calculus leads to a significant increase in activities in approximation theory due to applications in computational science and ...