Zobrazeno 1 - 10
of 1 494
pro vyhledávání: '"computational cost"'
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
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
Autor:
Kyuichi Yasui
Publikováno v:
Materials, Vol 17, Iss 11, p 2512 (2024)
In the present review, the merits and demerits of machine learning (ML) in materials science are discussed, compared with first principles calculations (PDE (partial differential equations) model) and physical or phenomenological ODE (ordinary differ
Externí odkaz:
https://doaj.org/article/91f276d1d67146e3b55e987640baa049
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
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
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:
Stefan Heinen, Danish Khan, Guido Falk von Rudorff, Konstantin Karandashev, Daniel Jose Arismendi Arrieta, Alastair J A Price, Surajit Nandi, Arghya Bhowmik, Kersti Hermansson, O Anatole von Lilienfeld
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025058 (2024)
For many machine learning applications in science, data acquisition, not training, is the bottleneck even when avoiding experiments and relying on computation and simulation. Correspondingly, and in order to reduce cost and carbon footprint, training
Externí odkaz:
https://doaj.org/article/0506d6d035634242bde078321393b2b8
Publikováno v:
Fibers, Vol 12, Iss 1, p 9 (2024)
A balance between model complexity, accuracy, and computational cost is a central concern in numerical simulations. In particular, for stochastic fiber networks, the non-affine deformation of fibers, related non-linear geometric features due to large
Externí odkaz:
https://doaj.org/article/583edd14c648450982809183b5d2a2d2