Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Shenglei Chen"'
Publikováno v:
Microorganisms, Vol 12, Iss 10, p 1958 (2024)
Quantifying extracellular and intracellular contributions to Cr(VI) reduction is crucial for understanding bacterial Cr(VI)-reduction mechanisms. However, this contribution under different oxygen conditions remains largely unexplored. This study quan
Externí odkaz:
https://doaj.org/article/90aee80824524f2a9e1fa432c7046c41
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2306 (2024)
The Averaged One-Dependence Estimators (AODE) is a popular and effective method of Bayesian classification. In AODE, selecting the optimal sub-model based on a cross-validated risk minimization strategy can further enhance classification performance.
Externí odkaz:
https://doaj.org/article/59499772ae05440fbd1264796efe09b4
Balancing Privacy Risk and Benefit in Service Selection for Multiprovision Cloud Service Composition
Publikováno v:
Mathematics, Vol 10, Iss 10, p 1675 (2022)
The popularity of cloud computing has fueled the growth in multiprovision cloud service composition (MPCSC), where each cloud service provider (CSP) can fulfill multiple tasks, i.e., offer multiple services, simultaneously. In the MPCSC, users would
Externí odkaz:
https://doaj.org/article/7d0c7cf5eb2c4368a1b14ad689a3180a
Publikováno v:
Mathematics, Vol 9, Iss 20, p 2564 (2021)
As an important improvement to naive Bayes, Tree-Augmented Naive Bayes (TAN) exhibits excellent classification performance and efficiency since it allows that every attribute depends on at most one other attribute in addition to the class variable. H
Externí odkaz:
https://doaj.org/article/bb7708121a9c4d93b694edfba685af2e
Autor:
Zujie Ren, Ge Zhefeng, Jiangbin Lin, Shenglei Chen, Congfeng Jiang, Weisong Shi, Christophe Cérin, Jiwei Wang, Guoyao Xu, Yitao Qiu
Publikováno v:
IEEE Transactions on Cloud Computing. 10:2381-2397
Workload characteristics are vital for both data center operation and job scheduling in co-located data centers, where online services and batch jobs are deployed on the same production cluster. In this paper, a comprehensive analysis is conducted on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57661c1256e00a4a38b3f3cfc00c0b59
https://doi.org/10.1109/tcc.2020.3034500
https://doi.org/10.1109/tcc.2020.3034500
Publikováno v:
Security and Communication Networks. 2022:1-15
To meet the rapidly increasing demand for Internet of Things (IoT) applications, edge computing, as a novel computing paradigm, can combine devices at the edge of the network to collaboratively provide computing resources for IoT applications. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85579cbd71413bc871ac4075e87ce743
https://doi.org/10.1155/2022/1336094
https://doi.org/10.1155/2022/1336094
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 35:151-170
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::242d750f2cd7868c5c0dea25311cd08b
https://doi.org/10.1080/0952813x.2022.2062457
https://doi.org/10.1080/0952813x.2022.2062457
Publikováno v:
Future Generation Computer Systems. 126:263-278
The proliferation of cloud computing is driving the rapid growth of multi-provision cloud service composition (MPCSC), in which each cloud service provider (CSP) can offer multiple services simultaneously. Due to the openness and virtualization of cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b442d37729d0da8155565797d4107f4
https://doi.org/10.1016/j.future.2021.08.010
https://doi.org/10.1016/j.future.2021.08.010
Publikováno v:
Intelligent Data Analysis. 25:35-55
Bayesian network classifiers (BNCs) have proved their effectiveness and efficiency in the supervised learning framework. Numerous variations of conditional independence assumption have been proposed to address the issue of NP-hard structure learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34d55cc69a93bc2c14f8696ddadd97ba
https://doi.org/10.3233/ida-194959
https://doi.org/10.3233/ida-194959
Publikováno v:
CCCI
With the development of data centers, the huge power consumption becomes one of the most difficult problems. Therefore, power oversubscription becomes an economical and effective way of power supply in data centers. However, power oversubscription ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86a14b2a97cbae42bae5a422b7f2ab0b
https://doi.org/10.1109/ccci49893.2020.9256459
https://doi.org/10.1109/ccci49893.2020.9256459