Zobrazeno 1 - 10
of 145
pro vyhledávání: '"fractional-order differentiation"'
Autor:
Fu Yao
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1473-1481 (2024)
In recent years, there has been an increasing interest in using machine learning methods to improve deep learning-based classroom abnormal behaviour detection tasks, and the theory of fractional order calculus is beginning to be used to enhance the
Externí odkaz:
https://doaj.org/article/270364c4c5754f159dc240a7efd62f3e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16767-16786 (2024)
This article presents a new approach to address the challenge of combining ground-based LiDAR data with satellite images for cross-view image geo-localization. The task is to figure out the position and orientation of the LiDAR within the given satel
Externí odkaz:
https://doaj.org/article/ebbd64e564ab478d8cd16c02eb0e6bec
Publikováno v:
Sensors, Vol 24, Iss 15, p 4776 (2024)
To non-destructively and rapidly monitor the chlorophyll content of winter wheat leaves under CO2 microleakage stress, and to establish the quantitative relationship between chlorophyll content and sensitive bands in the winter wheat growing season f
Externí odkaz:
https://doaj.org/article/a5402ac0ee6f4879a8809770f13e56ca
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Secondary salinization is a crucial constraint on agricultural progress in arid regions. The specific mulching irrigation technique not only exacerbates secondary salinization but also complicates field-scale soil salinity monitoring. UAV hyperspectr
Externí odkaz:
https://doaj.org/article/87ddbf85aabc413c8ffbd770a8d152c9
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
IntroductionObtaining wheat growth information accurately and efficiently is the key to estimating yields and guiding agricultural development.MethodsThis paper takes the precision agriculture demonstration area of Jiaozuo Academy of Agriculture and
Externí odkaz:
https://doaj.org/article/64962caf5b1d4f18a52808406c0cad07
Publikováno v:
Railway Sciences, 2023, Vol. 2, Issue 1, pp. 84-100.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RS-05-2022-0022
Publikováno v:
Railway Sciences, Vol 2, Iss 1, Pp 84-100 (2023)
Purpose – This study aims to propose an adaptive fractional-order sliding mode controller to solve the problem of train speed tracking control and position interval control under disturbance environment in moving block system, so as to improve the
Externí odkaz:
https://doaj.org/article/b10b576b501f49f18bafbe706592cf0b
Publikováno v:
Sensors, Vol 24, Iss 5, p 1693 (2024)
With the rapid progression of agricultural informatization technology, the methodologies of crop monitoring based on spectral technology are constantly upgraded. In order to carry out the efficient, precise and nondestructive detection of relative ch
Externí odkaz:
https://doaj.org/article/7c1d20fe1fce4fd78623d55397be7b6d
Publikováno v:
Algorithms, Vol 17, Iss 5, p 220 (2024)
This paper proposes a new optimization algorithm for backpropagation (BP) neural networks by fusing integer-order differentiation and fractional-order differentiation, while fractional-order differentiation has significant advantages in describing co
Externí odkaz:
https://doaj.org/article/8fd20c90138847cab090375737eacf35
Publikováno v:
Fractal and Fractional, Vol 8, Iss 2, p 87 (2024)
To solve the shortcomings of the Otsu image segmentation algorithm based on traditional Moth–Flame Optimization (MFO), such as its poor segmentation accuracy, slow convergence, and tendency to fall into local optimum, this paper proposes fractional
Externí odkaz:
https://doaj.org/article/a00ea42a602747c692b99571bdec1381