Zobrazeno 1 - 10
of 855
pro vyhledávání: '"BP network"'
Autor:
Yihui Yin, Lei Zhao, Ruoyu You, Jingjing Pei, Hanyu Li, Junzhou He, Yuexia Sun, Xudong Yang, Qingyan Chen
Publikováno v:
Indoor Environments, Vol 1, Iss 4, Pp 100044- (2024)
As people are the ultimate arbiters of air quality in built environments, perceived air quality (PAQ) is receiving increasing attention. Odor is often designated as the main target of PAQ regulation, but due to the complex mechanism of cross-modal hu
Externí odkaz:
https://doaj.org/article/bfd7a3c9eb214d27b516384dab7315f2
Publikováno v:
Defence Technology, Vol 32, Iss , Pp 412-429 (2024)
This paper investigates interception missiles’ trajectory tracking guidance problem under wind field and external disturbances in the boost phase. Indeed, the velocity control in such trajectory tracking guidance systems of missiles is challenging.
Externí odkaz:
https://doaj.org/article/34e0c6e73b224d57854b7a97b813b3d6
Publikováno v:
Aerospace, Vol 11, Iss 11, p 936 (2024)
Accurate material performance parameters are the prerequisite for conducting composite material structural analysis and design. However, the complex multiscale structure of ceramic matrix composites (CMCs) makes it extremely difficult to accurately o
Externí odkaz:
https://doaj.org/article/49b5cbb97038419bb2d0959c90ee8946
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10257 (2024)
Accurate prediction of subgrade temperatures in seasonally frozen regions is crucial for understanding thermal states, frost heave phenomena, stability, and other critical characteristics. This study employs a nonlinear autoregressive with exogenous
Externí odkaz:
https://doaj.org/article/8ed4019e4ccf400bbc6244a64d6ad50b
Autor:
Hai Xiao
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 6099-108 (2023)
Due to the diversity and complexity of data information, traditional data fusion methods cannot effectively fuse multidimensional data, which affects the effective application of data. To achieve accurate and efficient fusion of multidimensional data
Externí odkaz:
https://doaj.org/article/22fa81b618574b8ab5ec6e5e79d435c5
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 975-984 (2023)
The computer vision direction in the field of artificial intelligence analyses the latest progress of computer vision technology from visual perception and visual generation, including but not limited to image recognition, target detection and image
Externí odkaz:
https://doaj.org/article/b99b6cde089d4777b90c6cc17975865a
Autor:
Huang Gang
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The principle of flexibility and change should be adopted in the process of physical training, and the optimization of periodization training strategy can only be reasonably carried out according to the specific training response of athletes in order
Externí odkaz:
https://doaj.org/article/5708ea153e1a41368bc69cff8dab149b
Autor:
Li Chengzhi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Ecological restoration of mines in arid zones is an important initiative to promote the harmonious coexistence of man and nature and realize green and low-carbon development, in which the prevention and control of soil secondary salinization is cruci
Externí odkaz:
https://doaj.org/article/59595d94349c44289907d16e812cfed1
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study investigates the role of non-electrical protective devices in forecasting hazards for large 300Mvar class phase shifter units, which face overvoltage and overcurrent stresses under severe faults, distorting their internal magnetic fields.
Externí odkaz:
https://doaj.org/article/7a3d81723fc34844a23ed8cec62b1635
Autor:
Feng Baozhen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
As the electric power industry rapidly advances, diagnosing faults in electrical equipment has emerged as a critical challenge. In this study, we leverage advancements in power information technology to develop a method for extracting feature volumes
Externí odkaz:
https://doaj.org/article/a99840ff073f40caa570172d91c70b19