Results 1 to 10 of about 490,787 (262)
Algorithms, 2022 In this paper, a direct operator method is presented for the exact closed-form solution of certain classes of linear and nonlinear integral Volterra–Fredholm equations of the second kind.
Efthimios Providas
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Journal of Universal Computer Science, 2022 It is with great pleasure that I welcome you to our first regular issue in 2022, which contains 5 very relevant and new articles on various topics in computer science.Looking back over the past year, we had a successful relaunch of the J.UCS platform ...
Christian Gütl
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Sports Risk Prediction Model Based on Automatic Encoder and Convolutional Neural Network
Applied Sciences, 2023 In view of the limitations of traditional statistical methods in dealing with multifactor and nonlinear data and the inadequacy of classical machine learning algorithms in dealing with and predicting data with high dimensions and large sample sizes, this
Bingyu Li +4 more
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Journal of Universal Computer Science, 2023 Dear Readers, I am very happy to announce the fifth regular issue of 2023. In this issue, 5 articles by 22 authors from 5 countries cover a variety of topical research aspects in computer science.
Christian Gütl
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Algorithms, 2023 Integro-differential equations involving Volterra and Fredholm operators (VFIDEs) are used to model many phenomena in science and engineering. Nonlocal boundary conditions are more effective, and in some cases necessary, because they are more accurate ...
Efthimios Providas +1 more
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Cancer Diagnosis With the Aid of Artificial Intelligence Modeling Tools
IEEE Access, 2022 Cancer is one of the deadliest diseases in the present days. Its survivability is mostly corelated to early detection and treatment, which means that it is of utmost importance to successfully diagnose the patients.
Alex Ede Danku +4 more
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Entropy, 2022 A key element for reducing energy consumption and improving thermal comfort on high-speed rail is controlling air-conditioning temperature. Accurate prediction of air supply temperature is aimed at improving control effects.
Guoce Feng +4 more
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IEEE Access, 2023 In digital pathology, the accurate segmentation of cell nuclei in histopathology images is essential for medical image analysis. Histopathologists visually evaluate the patterns of cellular architecture and tissue patterns in histopathology image ...
Hasnain Ali Shah, Jae-Mo Kang
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, 2022 The method for predicting of wind generator’ power based on a modified one-dimensional convolutional neural network was proposed in the article. The model of a modified one-dimensional convolutional neural network was created; it allows to extract the most significant features and increase the forecast accuracy due to the automatic calculation of the ...
Fedorov, Eugene +4 more
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Fast L1 Gauss Transforms for Edge-Aware Image Filtering
Труды Института системного программирования РАН, 2018 Gaussian convolution and its discrete analogue, Gauss transform, have many science and engineering applications, such as mathematical statistics, thermodynamics and machine learning, and are widely applied to computer vision and image processing tasks ...
D. R. Bashkirova +3 more
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