Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Junhua GU"'
Autor:
Hui Tang, Lihua Wang, Huling Cao, Aiming Ding, Jianyu Cao, Haiyan Mao, Guihong Yang, Junhua Gu
Publikováno v:
General Psychiatry, Vol 37, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/b103ad7aaa64418691ad31790a616841
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8461-8476 (2024)
Building extraction from remote sensing images (RSIs) requires exploring multiscale boundary detailed information and extracting it completely, which is challenging but indispensable. However, existing solutions tend to augment feature information so
Externí odkaz:
https://doaj.org/article/502b9ad72f8d4eb29c74bd90c46b88f6
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 9670-9692 (2023)
Social relations can effectively alleviate the data sparsity problem in recommendation, but how to make effective use of social relations is a difficulty. However, the existing social recommendation models have two deficiencies. First, these models a
Externí odkaz:
https://doaj.org/article/41868ebffabe4c5ab7724a892271f82f
Publikováno v:
International Journal of Crowd Science, Vol 6, Iss 1, Pp 34-43 (2022)
The Internet of Things (IoT) is currently in a stage of rapid development. Hundreds of millions of sensing nodes and intelligent terminals undertake the tasks of sensing and transmitting data. Data collection is the key to realizing data analysis and
Externí odkaz:
https://doaj.org/article/7da7921d33404937a618479252de02e4
Autor:
Ruowei Qu, Xuan Ji, Shifeng Wang, Zhaonan Wang, Le Wang, Xinsheng Yang, Shaoya Yin, Junhua Gu, Alan Wang, Guizhi Xu
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1234 (2023)
Epilepsy is a chronic brain disease with recurrent seizures. Mesial temporal lobe epilepsy (MTLE) is the most common pathological cause of epilepsy. With the development of computer-aided diagnosis technology, there are many auxiliary diagnostic appr
Externí odkaz:
https://doaj.org/article/b7ea0f1d91d04e67ba29e3362bb3e7e2
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background The interactions between proteins and aptamers are prevalent in organisms and play an important role in various life activities. Thanks to the rapid accumulation of protein-aptamer interaction data, it is necessary and feasible to
Externí odkaz:
https://doaj.org/article/1eaf142386b34b25bbe1e10306c075ce
Publikováno v:
IEEE Access, Vol 8, Pp 39078-39090 (2020)
Identification of community structures is essential for characterizing and analyzing complex networks. Having focusing primarily on network topological structures, most existing methods for community detection ignore two types of non-topological rela
Externí odkaz:
https://doaj.org/article/e612b23a9277424ea7c0317f5df25006
Publikováno v:
IEEE Access, Vol 8, Pp 16302-16309 (2020)
Early detection of malignant pulmonary nodules is of great help to the treatment of lung cancer. Yet it is difficult to establish a general diagnostic standard because of the two main characteristics of pulmonary nodules: different sizes and irregula
Externí odkaz:
https://doaj.org/article/eb359ac2de654a4a812147f2dae1ff30
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The new technology of single-cell RNA sequencing (scRNA-seq) can yield valuable insights into gene expression and give critical information about the cellular compositions of complex tissues. In recent years, vast numbers of scRNA-seq datasets have b
Externí odkaz:
https://doaj.org/article/0bdd609791044f43be6eaa4ea03bad6d
Publikováno v:
Sensors, Vol 23, Iss 6, p 2897 (2023)
Modeling complex spatial and temporal dependencies in multivariate time series data is crucial for traffic forecasting. Graph convolutional networks have proved to be effective in predicting multivariate time series. Although a predefined graph struc
Externí odkaz:
https://doaj.org/article/6377f88991014f8eace2154f8ce937d5