Zobrazeno 1 - 10
of 13 194
pro vyhledávání: '"dynamic systems"'
Publikováno v:
Sustainable and Resilient Global Practices: Advances in Responsiveness and Adaptation
Autor:
Yurij Pavlovich Butsenko, Subhi Hammadi Hamdoun, Mehdi Muhemed Mool, Azhar Raheem Mohammed Al-Ani, Saif Kamil Shnain, Abdul Mohsen Jaber Almaaly, Mohammed Abdul Majeed
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 239-248 (2024)
Background: The Industrial Internet of Things (IIoT) has revolutionized operations for businesses, and fog computing is a valuable resource management and job scheduling tool that has facilitated the transformation. In this regard, efficient resource
Externí odkaz:
https://doaj.org/article/6aa59851ea284a57b7c2c51ea7c24445
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2024, Vol. 43, Issue 4, pp. 821-838.
Autor:
Laisa Cristina Juffo Cristina Juffo Campos, Ana Carolina Spindola Rangel Dias, Wellington Betencurte da Silva, Julio Cesar Sampaio Dutra
Publikováno v:
Latin-American Journal of Computing, Vol 11, Iss 2, Pp 13-22 (2024)
monitoring, and control rely on precise dynamic models that can capture the inherent nonlinearities of chemical systems. However, rigorous modeling of complex industrial processes can be computationally demanding. Meta modeling using machine learning
Externí odkaz:
https://doaj.org/article/c2fd24d6c021459b815cb759698137b3
Autor:
Vu Thi Nguyet
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss 2A, Pp 73-80 (2024)
Modal truncation, an advanced algorithm for model reduction in dynamic systems, efficiently simplifies complex models by selectively discarding less influential eigenmodes, maintaining a balance between computational efficiency and model accuracy.
Externí odkaz:
https://doaj.org/article/bcb5ff2fa6f4410da18baa837d8db180
Autor:
Xiaohong Wen
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
This study investigated motivation of Chinese heritage language (CHL) learners with diverse Chinese language backgrounds at an American university. Using a mixed-methods design, it examined the factors that motivated CHL learners to enroll in Chinese
Externí odkaz:
https://doaj.org/article/4831b4c58e8649ec8642d53196759d64
Autor:
Oleksandr Volovetskyi
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 3 (2024)
This paper presents a novel approach utilizing Gaussian Process Regression (GPR) to identify dynamic models with nonlinear parameters in magnetic separation processes. It aims to address the complex and dynamic nature of these processes by employing
Externí odkaz:
https://doaj.org/article/5cc7b7d23aa3479da300883c2f42a406