2019
DOI: 10.1002/cpe.5425
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Foreword to the special issue of green cloud computing: Methodology and practice

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Cited by 12 publications
(8 citation statements)
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“…With the aid of network technology, virtual communities can provide an environment which serves to bring people together, so that members can interact within the community and share professional knowledge and interests. Such communities can also create an atmosphere of mutual trust among members (Cheng et al ., 2019a, b; Zheng et al. , 2019; Lu et al ., 2020; Shen et al ., 2021).…”
Section: Literature Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…With the aid of network technology, virtual communities can provide an environment which serves to bring people together, so that members can interact within the community and share professional knowledge and interests. Such communities can also create an atmosphere of mutual trust among members (Cheng et al ., 2019a, b; Zheng et al. , 2019; Lu et al ., 2020; Shen et al ., 2021).…”
Section: Literature Discussionmentioning
confidence: 99%
“…With the aid of network technology, virtual communities can provide an environment which serves to bring people together, so that members can interact within the community and share professional knowledge and interests. Such communities can also create an atmosphere of mutual trust among members (Cheng et al, 2019a, b;Zheng et al, 2019;Lu et al, 2020;Shen et al, 2021). In addition to sharing information, members of a virtual community must abide by the rules of the community in order to maintain relationships with other members and the reputation of the community.…”
Section: Definition Of a Virtual Communitymentioning
confidence: 99%
“…The special feature is the introduction of two perceived beliefs (perceptual ease of use and perceived usefulness) to explain people's acceptance of IT (Zhang et al, 2021a, b;Fu et al, 2020aFu et al, , b, 2021aLiu et al, 2020b). (Cheng et al, 2019a, b;Zheng et al, 2019;Lu et al, 2020;Shen et al, 2021;Yu et al, 2021).…”
Section: Technological Acceptance and Teaching Qualitymentioning
confidence: 99%
“…The Feature Pyramid Networks' multi-level prediction architecture improves the detection ability of small objects. The maximum number of output bounding boxes is 3,549, the loss function is changed from the original sum-squared error to binary cross-entropy, the output activation function is changed from the original softmax to logistic, and the basic architecture is changed from the original VGG-16 to ResNet (Cheng et al, 2019b ; Zheng et al, 2019 ; Lu et al, 2020 ; Shen et al, 2021 ; Yu et al, 2021 ).…”
Section: Relative Workmentioning
confidence: 99%