Results 1 to 10 of about 1,305,191 (158)
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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Graph Convolution Machine for Context-aware Recommender System [PDF]
Frontiers of Computer Science, 2020 The latest advance in recommendation shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such finding is mostly restricted to the collaborative filtering (CF) scenario, where the interaction contexts are not available.
Jiancan Wu +7 more
arxiv +2 more sources
Homophily modulates double descent generalization in graph convolution networks [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2022 Significance Graph neural networks (GNNs) have been applied with great success across science and engineering, but we do not understand why they work so well.
Chengzhi Shi +3 more
semanticscholar +1 more source
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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Computer Science and Information Systems, 2022 The application development of hot technology is both an opportunity and a challenge. The vision-based gesture recognition rate is low and real-time performance is poor, so various algorithms need to be studied to improve the accuracy and speed of ...
Pingping Li, Lu Zhao
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BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification
Health Information Science and Systems, 2023 Timely prognosis of brain tumors has a crucial role for powerful healthcare of remedy-making plans. Manual classification of the brain tumors in magnetic resonance imaging (MRI) images is a challenging task, which relies on the experienced radiologists ...
Basant S. Abd El-Wahab +3 more
semanticscholar +1 more source
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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Indonesian Journal of Electrical Engineering and Computer Science, 2023 The main quality of deep learning over conventional machine learning (ML) techniques empowers firsthand uses in processing of images, speech recognition, medical imaging, machine translation and robotics, computer vision, and numerous other fields.
Narinderpal Kaur, Ganesh Gupta
semanticscholar +1 more source
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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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
doaj +1 more source