Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Qinqin Tang"'
Publikováno v:
Ecological Indicators, Vol 141, Iss , Pp 109112- (2022)
The northern Pacific Ocean is one of the most sensitive areas globally to climate change. Copepods typically account for between 60% and 90% of mesozooplankton in the open ocean. Because copepods are a key link in marine food webs, their response to
Externí odkaz:
https://doaj.org/article/25bf6c8da8334398a0c5f176cbd8c6bc
Publikováno v:
IEEE Access, Vol 7, Pp 31159-31169 (2019)
Network virtualization allows multiple isolated virtual networks (VNs) to share the same substrate network (SN). VN embedding (VNE) algorithms can efficiently allocate the limited SN resources to VNs and assign a unique identifier to each VN. However
Externí odkaz:
https://doaj.org/article/e911172ef0694edeb4ebe0835e27c8be
Publikováno v:
IEEE Access, Vol 7, Pp 178942-178952 (2019)
The emergence of augmented reality (AR), autonomous driving and other new applications have greatly enriched the functionality of the vehicular networks. However, these applications usually require complex calculations and large amounts of storage, w
Externí odkaz:
https://doaj.org/article/1050391b4aa44c3e91c6e5baedeeb291
Dynamic Observation of Atypical Sporotrichosis Before and After Itraconazole Treatment by Dermoscopy
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology. 16:339-343
Publikováno v:
IEEE Internet of Things Journal. 9:19634-19648
The Northwest (NW) African continental margin is well known for the occurrence of large-scale submarine landslides with prominent scarps exposed at the seafloor. Previous studies primarily focused on major landslides, but rarely covered small scarps.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ccea075b067bc8d61482298b05ce76b
https://doi.org/10.5194/egusphere-egu23-8985
https://doi.org/10.5194/egusphere-egu23-8985
Publikováno v:
IEEE Communications Letters. 26:1373-1377
Publikováno v:
IEEE Journal on Selected Areas in Communications. 40:694-709
Viewport prediction and prefetch have an important influence on VR video streaming performance. This work proposes a novel federated learning-based viewport prediction model training algorithm, ComPer-FedAvg. The proposed algorithm leverages a VR vid
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-10
Publikováno v:
IEEE Transactions on Mobile Computing. :1-16