Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Shaojin Geng"'
Publikováno v:
IEEE Access, Vol 8, Pp 79079-79088 (2020)
Task scheduling problem refers to how to reasonably arrange many tasks provided by users in virtual machines, which is very important in the cloud computing. And the quality of the scheduling performance directly affects the customer satisfaction and
Externí odkaz:
https://doaj.org/article/4a8de196600543c6861f1c8f4b9a5ef6
Publikováno v:
Computer Modeling in Engineering & Sciences. 135:1863-1900
Publikováno v:
IEEE Transactions on Network Science and Engineering. 9:3825-3834
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:7650-7658
While the industrial Internet of Things (IIoT) can support efficient control of the physical world through large amounts of industrial data, data security has been a challenge due to various interconnections and accesses. Blockchain technology can su
Publikováno v:
Applied Intelligence. 52:7248-7270
Selection strategy is an essential evolutionary component for many-objective evolutionary algorithms, including mating selection and environmental selection. However, there are still many challenges in evolution as the number of objectives increases,
Publikováno v:
IEEE Internet of Things Journal. 8:9645-9653
Internet of Things (IoT) is a huge network and establishes ubiquitous connections between smart devices and objects. The flourishing of IoT leads to an unprecedented data explosion, traditional data storing or processing techniques have the problem o
Publikováno v:
IEEE Access, Vol 8, Pp 79079-79088 (2020)
Task scheduling problem refers to how to reasonably arrange many tasks provided by users in virtual machines, which is very important in the cloud computing. And the quality of the scheduling performance directly affects the customer satisfaction and
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811534249
BIC-TA (1)
BIC-TA (1)
Both the class imbalance of datasets and parameter selection of support vector machine (SVM) play an important role in the process of software defect prediction. To solve these two problems synchronously, the false positive rate (pf) and the probabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5daff7890420f3cbe2b6762e43af0831
https://doi.org/10.1007/978-981-15-3425-6_22
https://doi.org/10.1007/978-981-15-3425-6_22
Publikováno v:
Swarm and Evolutionary Computation. 63:100871
Software defects prediction technology related to software products’ security and quality and provides guidance for software testing. To solve both the problem of datasets class imbalance in software defects prediction and support vector machine (S