Zobrazeno 1 - 10
of 1 521
pro vyhledávání: '"Computational Cost"'
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
Geological carbon sequestration (GCS) involves injecting CO[Formula: see text] into subsurface geological formations for permanent storage. Numerical simulations could guide decisions in GCS projects by predicting CO[Formula: see text] migration path
Externí odkaz:
https://doaj.org/article/4b62a2d56e4548ed92d38fbf5f2a3da2
Autor:
Alvaro Llorente, Javier Guinea Perez, Juan Antonio Rodrigo, David Jimenez, Jose Manuel Menendez
Publikováno v:
IEEE Access, Vol 12, Pp 34846-34862 (2024)
No-Reference video quality assessment has become a trending and challenging hot topic in estimating perceived quality in audiovisual content. In this paper, we present a proposal to considerably reduce the computational cost of video processing witho
Externí odkaz:
https://doaj.org/article/ad731d5759614049a8e004d4082d8927
Publikováno v:
Sensors, Vol 24, Iss 22, p 7152 (2024)
A reduced-dimension robust Capon beamforming method using Krylov subspace techniques (RDRCB) is a diagonal loading algorithm with low complexity, fast convergence and strong anti-interference ability. The diagonal loading level of RDRCB is known to b
Externí odkaz:
https://doaj.org/article/243cb5b4185a4adf896d4bdef2499baf
Autor:
Omar Aguilar-Mejia, Antonio Valderrabano-Gonzalez, Norberto Hernández-Romero, Juan Carlos Seck-Tuoh-Mora, Julio Cesar Hernandez-Ochoa, Hertwin Minor-Popocatl
Publikováno v:
Energies, Vol 17, Iss 21, p 5477 (2024)
The Permanent Magnet Synchronous Motor (PMSM) drive system is extensively utilized in high-precision positioning applications that demand superior dynamic performance across various operating conditions. Given the non-linear characteristics of the PM
Externí odkaz:
https://doaj.org/article/7d1d6f1c2c3747709b807c7e14e110f7
Autor:
Michele Sgamma, Massimiliano Palmieri, Michele Barsanti, Francesco Bucchi, Filippo Cianetti, Francesco Frendo
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e30832- (2024)
Fatigue assessment of components subjected to random loads is a challenging task both due to the variability in amplitude and frequency of the loads and for the computational times required to perform classical time domain fatigue analysis. The frequ
Externí odkaz:
https://doaj.org/article/57dde2db20264a1ea5dc82163a975519
Autor:
Omar Hisham Rasheed alsadoon
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 1 (2024)
This study investigates the performance of an optimal routing protocol in Wireless Sensor Networks (WSNs) based on the Grey Wolf Optimizer (GWO), which is considered an outstanding Metaheuristic optimization technique. Unlike numerous previous studie
Externí odkaz:
https://doaj.org/article/738758f34003468aa26b91cc00368252
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 17, Iss 1 (2023)
The computational cost of iterative design methods has been a challenge in aerodynamics. In this research, the data-driven acceleration of an iterative inverse design method was implemented to reduce its computational cost. Although iterative design
Externí odkaz:
https://doaj.org/article/4ea2dd00f58349f0a7b9cc6cb5751c6f
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Equivalent-layer technique is a powerful tool for processing potential-field data in the space domain. However, the greatest hindrance for using the equivalent-layer technique is its high computational cost for processing massive data sets. The large
Externí odkaz:
https://doaj.org/article/3e806b39b285423a8fab3d88a50ad67a
Publikováno v:
IEEE Access, Vol 11, Pp 95948-95957 (2023)
Lightweight pose estimation models have been widely used in devices with different computing powers, providing convenience for numerous downstream tasks, such as gait estimation, behavior analysis, motion capture, etc. Although these lightweight meth
Externí odkaz:
https://doaj.org/article/39b8f406bd864876ba9a95c837588a61
Autor:
E. Oluwasakin, T. Torku, S. Tingting, A. Yinusa, S. Hamdan, S. Poudel, N. Hasan, J. Vargas, K. Poudel
Publikováno v:
Machine Learning with Applications, Vol 13, Iss , Pp 100483- (2023)
Data preprocessing is a fundamental stage in deep learning modeling and serves as the cornerstone of reliable data analytics. These deep learning models require significant amounts of training data to be effective, with small datasets often resulting
Externí odkaz:
https://doaj.org/article/73ad069f75a343838a2a6e151c7becc1