Zobrazeno 1 - 10
of 3 614
pro vyhledávání: '"neural network (NN)"'
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 10, Pp 4034-4045 (2024)
The prediction of slope stability is considered as one of the critical concerns in geotechnical engineering. Conventional stochastic analysis with spatially variable slopes is time-consuming and highly computation-demanding. To assess the slope stabi
Externí odkaz:
https://doaj.org/article/727b3b1d076048c69f9e0ddaa26c761f
Publikováno v:
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract This paper defines a family of neural-network interpolation operators. The first derivative of generalized logistic-type functions is considered as a density function. Using the first-order uniform approximation theorem for continuous functi
Externí odkaz:
https://doaj.org/article/d971b7d0ae73491ea2521c95f926a049
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 9, Pp 102189- (2024)
This investigation focuses on refining software effort estimation (SEE) to enhance project outcomes amidst the rapid evolution of the software industry. Accurate estimation is a cornerstone of project success, crucial for avoiding budget overruns and
Externí odkaz:
https://doaj.org/article/12cd202766c14ce192fca7a807dae6cf
Autor:
Guanzong Mo, Yixin Lyu
Publikováno v:
PeerJ Computer Science, Vol 10, p e2126 (2024)
This article proposes an optimized backstepping control strategy designed for a category of nonlinear stochastic strict-feedback multi-agent systems (MASs) with sensor faults. The plan formulates optimized solutions for the respective subsystems by d
Externí odkaz:
https://doaj.org/article/11beef39e18541af994855f54b093884
Autor:
Muhammad Mohsin Rafiq, Nasim Ullah, Lukas Prokop, Stanislav Misak, Vojtech Blazek, Muhammad Ishfaq
Publikováno v:
IEEE Access, Vol 12, Pp 149045-149060 (2024)
This study presents an AI-enhanced peak current mode controller developed for electrosurgical generators (ESG). A regression neural network (RNN) is used by the controller to minimize peak current errors. This makes the generator more accurate and st
Externí odkaz:
https://doaj.org/article/f8a08351320745ee98f4f5e5d9553b37
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3486-3495 (2024)
Neuromusculoskeletal (NMS) models enable non-invasive estimation of clinically important internal biomechanics. A critical part of NMS modelling is the estimation of musculotendon kinematics, which comprise musculotendon unit lengths, moment arms, an
Externí odkaz:
https://doaj.org/article/5d22b0d81c0340f2b8393a6e1ff797de
Autor:
Jinyan Xie, Zhongping Lee, Xu Li, Daosheng Wang, Caiyun Zhang, Yufang Wu, Xiaolong Yu, Zhihuang Zheng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16306-16315 (2024)
The Landsat-8 Collection 2 provides Level-2 surface temperature product (L8-L2ST) at a spatial resolution of 30 m, catering to various applications. However, discrepancies in the spatial resolution of certain parameters involved in L8-L2ST production
Externí odkaz:
https://doaj.org/article/4fd33a2986d447388573df59b5e9ddd5
Autor:
Zainab Akhtar, Syed Abbas Zilqurnain Naqvi, Mirza Tariq Hamayun, Muhammad Ahsan, Ahsan Nadeem, S. M. Muyeen, Arman Oshnoei
Publikováno v:
IEEE Access, Vol 12, Pp 98107-98120 (2024)
The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations
Externí odkaz:
https://doaj.org/article/bad6f52d87a84fae86a321563c5b1a3d
Autor:
Amran P. Salmeno, Irma Zakia
Publikováno v:
IEEE Access, Vol 12, Pp 71997-72012 (2024)
Due to the dominant line-of-sight (LOS) component of high-altitude platform (HAP) communications, tracking the high-speed railway (HSR) uplink channel commonly involves forming received beam based on the estimated direction-of-arrival (DOA) of the LO
Externí odkaz:
https://doaj.org/article/27dd7bded5fe433292486db9241fe0bc
Publikováno v:
IEEE Access, Vol 12, Pp 62986-62996 (2024)
Although significant efforts have been made to enhance industrial air conditioning systems, there are still efficiency and transient response issues in vehicle air conditioning systems using IPMSM compressors. This paper focuses on the neural network
Externí odkaz:
https://doaj.org/article/8f554a0d5c944eedace122bb1da26e36