Zobrazeno 1 - 10
of 590
pro vyhledávání: '"Graph convolutional neural networks"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract With the development of information technology, massive traffic data-driven short-term traffic situation analysis of urban road networks has become a research hotspot in urban traffic management. Accurate vehicle trajectory and traffic flow
Externí odkaz:
https://doaj.org/article/d1302dc5a28740ccb6ca48d63f06654b
Publikováno v:
International Journal of Web Research, Vol 7, Iss 4, Pp 29-37 (2024)
Multi-label text classification is a critical challenge in natural language processing, where the goal is to assign multiple labels to a given document. Recent advances have primarily focused on deep learning approaches, yet many fail to adequately c
Externí odkaz:
https://doaj.org/article/ee24a9265066400d90760b19544ebaea
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1622-1637 (2024)
Pattern recognition is critical to map data handling and their applications. This study presents a model that combines the Shape Context (SC) descriptor and Graph Convolutional Neural Network (GCNN) to classify the patterns of interchanges, which are
Externí odkaz:
https://doaj.org/article/c26b60d8c5c544718f230a10c5f7ce9c
Autor:
Trong Hieu Nguyen, Nhu Nhat Tan Doan, Trung Hieu Tran, Le Anh Khoa Huynh, Phuoc Loc Doan, Thi Hue Hanh Nguyen, Van Thien Chi Nguyen, Giang Thi Huong Nguyen, Hoai-Nghia Nguyen, Hoa Giang, Le Son Tran, Minh Duy Phan
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background Cell free DNA (cfDNA)-based assays hold great potential in detecting early cancer signals yet determining the tissue-of-origin (TOO) for cancer signals remains a challenging task. Here, we investigated the contribution of a methyl
Externí odkaz:
https://doaj.org/article/e634b5da19214ea480459a730ead74e5
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Plant pest and disease management is an important factor affecting the yield and quality of crops, and due to the rich variety and the diagnosis process mostly relying on experts’ experience, there are problems of low diagnosis efficiency and accur
Externí odkaz:
https://doaj.org/article/a583bb0f21cf4c77a081965d33823705
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Examining potential drug–target interactions (DTIs) is a pivotal component of drug discovery and repurposing. Recently, there has been a significant rise in the use of computational techniques to predict DTIs. Nevertheless, previous invest
Externí odkaz:
https://doaj.org/article/5c16b2b78f494b6b9b6f31340b115d25
Autor:
Yilin Sang, Wan Li
Publikováno v:
IEEE Access, Vol 12, Pp 24387-24395 (2024)
Alzheimer’s disease (AD) is a neurodegenerative disorder. Diffusion tensor imaging (DTI) provides information about the integrity of white matter fiber bundles that are related to the neuropathological mechanisms, and it is one of the commonly used
Externí odkaz:
https://doaj.org/article/34ffb0911ad64cfa892f11c2e3651243
Publikováno v:
IEEE Access, Vol 12, Pp 3756-3767 (2024)
Many countries across the globe face the serious issue of traffic congestion. This paper presents a low-cost graph-based traffic forecasting and congestion detection framework using online images from multiple cameras. The advantage of using a graph
Externí odkaz:
https://doaj.org/article/081ae57042d04f7a932dbdd3323221d9
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of various subsequent machine learning tasks. Howeve
Externí odkaz:
https://doaj.org/article/34af8cf014244b41be1b2d24a0875c2e
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-14 (2023)
Abstract Advanced persistent threat (APT) attacks are malicious and targeted forms of cyberattacks that pose significant challenges to the information security of governments and enterprises. Traditional detection methods struggle to extract long-ter
Externí odkaz:
https://doaj.org/article/bcc654bc721b47c0bdd54c5afbbe16a0