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Toplam kayıt 16, listelenen: 11-16
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 ...
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 ...
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 ...
Comparison of the Proficiency Level of the Course Materials (Animations, Videos, Simulations, E-Books) Used In Distance Education
(Elsevier Science Bv, 2014)
Activities in the field of distance education have shown a significant improvement in the world and Turkey in parallel with the technology. Activities in this field started through newspapers and letters and they were ...
Modifiable low-rank approximation to a matrix
(Wiley, 2009)
A truncated ULV decomposition (TULVD) of an m x n matrix X of rank k is a decomposition of the form X=ULVT + E, where U and V are left orthogonal matrices, L is a k x k non-singular lower triangular matrix and E is an error ...