Zobrazeno 1 - 10
of 638
pro vyhledávání: '"Dependency analysis"'
Autor:
Ilaria Rigo, Rachele Bordoni, Federico Betti, Giulia Dapueto, Francesco Massa, Chiara Paoli, Paolo Povero, Francesca Ruggeri, Paolo Vassallo
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112387- (2024)
Coastal marine ecosystems are among the most productive ecosystems worldwide, providing essential resources both for the environment itself and for human life. This is the case of the Ligurian Sea, rich in marine biodiversity that characterizes a val
Externí odkaz:
https://doaj.org/article/19591012c15440b4bb1b859509cb26df
Publikováno v:
Advances in Climate Change Research, Vol 14, Iss 5, Pp 720-731 (2023)
Compared with physical models, WRF-Solar, as an excellent numerical forecasting model, includes abundant novel cloud physical and dynamical processes, which enablesenable the high-frequency output of radiation components which are urgently needed by
Externí odkaz:
https://doaj.org/article/9d202920ceaf44e38fa9f6a490cf447f
Autor:
Zouaoui Chikr Elmezouar, Abderrahmane Belguerna, Hamza Daoudi, Fatimah Alshahrani, Zoubeyr Kaddour
Publikováno v:
Axioms, Vol 13, Iss 8, p 511 (2024)
This paper introduces an innovative concentration inequality for Extended Negative Dependence (END) random variables, providing new insights into their almost complete convergence. We apply this inequality to analyze END variable sequences, particula
Externí odkaz:
https://doaj.org/article/65063dd2c8134a2f944438f1fdae256f
Publikováno v:
Aerospace, Vol 11, Iss 7, p 530 (2024)
This study addresses the challenges of accurately analyzing the reliability of aviation power systems (APS) using traditional models by introducing the Aviation Power System Reliability Probability Network Model (APS-RPNM). The model directly transfo
Externí odkaz:
https://doaj.org/article/7d5f5a513511483d96f8fb84138922e9
Autor:
Zhang Wenfu
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Chinese literary texts contain a sizeable vivid imagery vocabulary, which makes it difficult for average readers to judge the boundaries between words, and the current pre-trained language model is also difficult for them to learn its implicit knowle
Externí odkaz:
https://doaj.org/article/f73dba61da90477caab4525ef80dc658
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the wide application of open source software, the security of open source components has become a non-negligible problem in software development. In this paper, based on the research on deep learning algorithms, the deep reinforcement learning a
Externí odkaz:
https://doaj.org/article/f1d23fe1e5974fa9bfa99dcb9e171ed8
Publikováno v:
Mathematics, Vol 12, Iss 3, p 387 (2024)
This paper presents the cloud vendor lock-in prediction framework (CVL), which aims to address the challenges that arise from vendor lock-in in cloud computing. The framework provides a systematic approach to evaluate the extent of dependency between
Externí odkaz:
https://doaj.org/article/97fce046899543ac888b9de550017d6a
Akademický článek
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Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 1, Pp 25-39 (2022)
Abstract Software knowledge community contains a large scale of software knowledge entity information, complex structure and rich semantic correlations. It is significant to recognize and extract software knowledge entity from software knowledge comm
Externí odkaz:
https://doaj.org/article/ea8c5ad1cafd44f492aacd8f32723dec