Zobrazeno 1 - 10
of 3 764
pro vyhledávání: '"Performance modeling"'
Publikováno v:
International Journal of Lean Six Sigma, 2024, Vol. 15, Issue 5, pp. 1065-1101.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJLSS-07-2023-0125
Publikováno v:
Frontiers in Neuroergonomics, Vol 5 (2024)
The U.S. Army Aeromedical Research Laboratory (USAARL) Multi-Attribute Task Battery (MATB) represents a significant advancement in research platforms for human performance assessment and automation studies. The USAARL MATB builds upon the legacy of t
Externí odkaz:
https://doaj.org/article/9d6e81dcee98416d8806e79ffd6f5975
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101406- (2024)
Machine performance modeling and optimization have emerged as crucial steps for process enhancement and efficiency. This study explored machine learning to model and optimize the cassava grating chamber of cassava grater for the quality production of
Externí odkaz:
https://doaj.org/article/e72d3952929f431aba8c4ff32310bac7
Publikováno v:
Propulsion and Power Research, Vol 13, Iss 2, Pp 207-232 (2024)
Ejector mode is a unique and critical phase of wide-range rocket-based combined cycle (RBCC) engine. In this paper, a quasi-one-dimensional thermodynamic performance modeling method, with more detailed model treatments for the inlet-diffuser system,
Externí odkaz:
https://doaj.org/article/5f2904343cf64b58954227cdb42a24ad
Publikováno v:
In Performance Evaluation March 2025 167
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 2183-2195 (2024)
Edge Computing (EC) emerged to address the cloud’s shortcomings in meeting demand and latency requirements, leading to a shift in computation closer to the end-user. Extreme Edge Computing (XEC) extends this approach by utilizing nearby user-owned
Externí odkaz:
https://doaj.org/article/2aed651a3b154afaa2c175709a951d1e
Publikováno v:
Aerospace, Vol 11, Iss 11, p 913 (2024)
A diagnostic method for gas-path faults of turbofan engines, relying on a Probabilistic Neural Network (PNN) coupled with a thermodynamic model of the engine, is presented. The novel aspect of the method is that its training information is generated
Externí odkaz:
https://doaj.org/article/525cfe5b6cd44f528851ee14412dbdff
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 10, Iss 3, Pp 441-453 (2023)
In this study, different modeling approaches used in panel data for performance forecast of transportation infrastructure are firstly reviewed, and the panel data models (PDMs) are highlighted for longitudinal data sets. The state-space specification
Externí odkaz:
https://doaj.org/article/76a57b5e036d4bd781445f9ffdf82592
Autor:
Shensheng Tang
Publikováno v:
IoT, Vol 4, Iss 2, Pp 183-201 (2023)
A fog-based IoT platform model involving three layers, i.e., IoT devices, fog nodes, and the cloud, was proposed using an open Jackson network with feedback. The system performance was analyzed for individual subsystems, and the overall system was ba
Externí odkaz:
https://doaj.org/article/64e74556fa2040c1b11983638d7598b8
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-27 (2023)
Abstract Large-scale high performance computing (HPC) systems typically consist of many thousands of CPUs and storage units used by hundreds to thousands of users simultaneously. Applications from large numbers of users have diverse characteristics,
Externí odkaz:
https://doaj.org/article/846f5a83053b42168c0c98e042829bd9