Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Saiqin Long"'
Publikováno v:
IEEE Transactions on Network Science and Engineering. 10:645-657
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0366a644fcadaecfe06a7b84baf3aa4a
https://doi.org/10.1109/tnse.2022.3217085
https://doi.org/10.1109/tnse.2022.3217085
Publikováno v:
IEEE Transactions on Services Computing. 16:1254-1267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c191928600829c9a5c42e16ee3381234
https://doi.org/10.1109/tsc.2022.3180105
https://doi.org/10.1109/tsc.2022.3180105
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:781-796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f73faeaa9e45542f68f72fd73da1e35
https://doi.org/10.1109/tpds.2022.3232205
https://doi.org/10.1109/tpds.2022.3232205
Publikováno v:
Computers, Materials & Continua. 75:373-391
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a1f673d6e279134e5943dc924d42da
https://doi.org/10.32604/cmc.2023.034770
https://doi.org/10.32604/cmc.2023.034770
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:4767-4782
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22d0ee79546aaf3cadae30250b9efda7
https://doi.org/10.1109/tpds.2022.3201983
https://doi.org/10.1109/tpds.2022.3201983
Publikováno v:
Information Sciences. 613:50-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0252fd02b393e9aaf90a5a872659e5
https://doi.org/10.1016/j.ins.2022.08.031
https://doi.org/10.1016/j.ins.2022.08.031
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c50344ce33b07358cf56c7bc515b95ac
https://doi.org/10.1109/icassp49357.2023.10096108
https://doi.org/10.1109/icassp49357.2023.10096108
Publikováno v:
Neurocomputing. 483:501-514
Minimizing energy consumption is a critical challenge for real-time workflows, particularly in heterogeneous cloud computing systems. State-of-the-art algorithms aim to minimize the energy consumed for processing such applications by choosing virtual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26e8de75ebf135c5ab14d49a2ad53706
https://doi.org/10.1016/j.neucom.2021.08.145
https://doi.org/10.1016/j.neucom.2021.08.145
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819916412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbe9642f0a5a37c70e493af575d21285
https://doi.org/10.1007/978-981-99-1642-9_36
https://doi.org/10.1007/978-981-99-1642-9_36
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
Recently, the siamese convolutional neural network plays an important role in the field of visual tracking, which can obtain high tracking accuracy and good real-time performance. However, the requirement of offline training a specific neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57ea2472d919d2a6292729949a78bc60
https://pubmed.ncbi.nlm.nih.gov/35230950
https://pubmed.ncbi.nlm.nih.gov/35230950