Zobrazeno 1 - 10
of 98
pro vyhledávání: '"WEIXING JI"'
Publikováno v:
IEEE Access, Vol 8, Pp 43764-43775 (2020)
Streaming computing attracts intense attention because of the demand for massive data analyzing in real-time. Due to unbounded and continuous input, the volume of streaming data is so high that all the data cannot be permanently stored. Piecewise pol
Externí odkaz:
https://doaj.org/article/6ddbd6be0995431697fe8724c543dac4
Autor:
JIANHUA GAO1 gjh@bit.edu.cn, WEIXING JI1 jwx@bit.edu.cn, FANGLI CHANG1 cfl@bit.edu.cn, SHIYU HAN1 bit_hsy@bit.edu.cn, BINGXIN WEI1 bit_wbx@bit.edu.cn, ZEMING LIU1 sakusho@bit.edu.cn, YIZHUO WANG1 frankwyz@bit.edu.cn
Publikováno v:
ACM Computing Surveys. Dec2023, Vol. 55 Issue 12, p1-36. 36p.
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Sep2024, Vol. 21 Issue 3, p1-27, 27p
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:3732-3745
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0985fbb4f7741d924001d034670a157f
https://doi.org/10.1109/tpds.2022.3170501
https://doi.org/10.1109/tpds.2022.3170501
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c1aad7674172783f4e2af06f466af49
https://doi.org/10.1145/3540250.3549149
https://doi.org/10.1145/3540250.3549149
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Background Collecting duct carcinoma (CDC) is a rare histological type of renal cell carcinoma that lacks a prognostic prediction model. In this study, we developed a nomogram to predict the prognosis of CDC patients. Methods Data for patien
Externí odkaz:
https://doaj.org/article/0a6de72cc1e04146b8effe057459ca0f
Publikováno v:
Multimedia Tools and Applications. 79:27115-27136
Because of the large variation in appearance, the existence of artifacts, the low contrast, skin lesion segmentation remains a challenging task. In this paper, we propose a novel Scale Attention based Atrous Spatial Pyramid Pooling (Scale-Att-ASPP) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31783b278c5ad79c9f947154ab4d8a43
https://doi.org/10.1007/s11042-020-09334-2
https://doi.org/10.1007/s11042-020-09334-2
Publikováno v:
Future Generation Computer Systems. 108:521-532
Sparse matrix is any matrix with enough zeros that it pays to take advantage of them. The computational efficiency of sparse matrix–vector multiplication (SpMV) is significantly influenced by the distribution of non-zero elements in sparse matrix,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e35e2645392bec01f6ca4f3b24bb99e4
https://doi.org/10.1016/j.future.2020.02.076
https://doi.org/10.1016/j.future.2020.02.076
Publikováno v:
Information Sciences. 517:361-376
Outlier detection is one of the most critical and challenging tasks of data mining . It aims to find patterns in data that do not conform to expected behavior. Data streams in streaming computing are huge in nature and arrive continuously with changi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7393cc121cb94bc4a0dc2f6d52644295
https://doi.org/10.1016/j.ins.2019.12.060
https://doi.org/10.1016/j.ins.2019.12.060
Publikováno v:
IEEE Access, Vol 8, Pp 43764-43775 (2020)
Streaming computing attracts intense attention because of the demand for massive data analyzing in real-time. Due to unbounded and continuous input, the volume of streaming data is so high that all the data cannot be permanently stored. Piecewise pol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f605a038997342c321d7d1a6469b7fcd
https://ieeexplore.ieee.org/document/9016024/
https://ieeexplore.ieee.org/document/9016024/