Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chengyang Ke"'
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5165 (2024)
To address the anti-swing issue of the payload in bridge cranes, Proportional–Integral–Derivative (PID) control is a commonly used method. However, parameter tuning of the PID controller relies on empirical knowledge and often leads to system ove
Externí odkaz:
https://doaj.org/article/9ea61685797149719665864e0881436c
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7264 (2023)
In foggy environments, outdoor insulator detection is always with low visibility and unclear targets. Meanwhile, the scale of haze simulation insulator datasets is insufficient. Aiming to solve these problems, this paper proposes a novel Dark-Center
Externí odkaz:
https://doaj.org/article/e21078b47c4149f0ad27e4f50df4780e
Publikováno v:
Biomimetics, Vol 8, Iss 2, p 182 (2023)
Aiming at the shortcomings of the traditional sparrow search algorithm (SSA) in path planning, such as its high time-consumption, long path length, it being easy to collide with static obstacles and its inability to avoid dynamic obstacles, this pape
Externí odkaz:
https://doaj.org/article/911cd1efdb64403ab1edb0c675eead3d
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-12
To address the problem that large pedestrian detection networks cannot be directly applied to small device scenarios due to the heavyweight and slow detection speed, this paper proposes a pedestrian detection and recognition model MobileNet-YoLo base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ea3faa006d25bc6d7e3cd60a768f427
https://doi.org/10.1155/2022/8924027
https://doi.org/10.1155/2022/8924027
Publikováno v:
Computers, Materials & Continua; 2023, Vol. 77 Issue 2, p2443-2461, 19p
A Photovoltaic Power Prediction Approach Based on Data Decomposition and Stacked Deep Learning Model
Publikováno v:
Electronics; Volume 12; Issue 13; Pages: 2764
Correctly anticipating PV electricity production may lessen stochastic fluctuations and incentivize energy consumption. To address the intermittent and unpredictable nature of photovoltaic power generation, this article presents an ensemble learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::c3c93e0f8ddc060240a9398014486f9f
Autor:
Lin, Lisang Liu, Chengyang Ke
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 7264
In foggy environments, outdoor insulator detection is always with low visibility and unclear targets. Meanwhile, the scale of haze simulation insulator datasets is insufficient. Aiming to solve these problems, this paper proposes a novel Dark-Center
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::5396372bdc3f566938e823eb566e5c59
Publikováno v:
Electronics; Volume 12; Issue 9; Pages: 1961
The goal was to address the problems of slow convergence speed, low solution accuracy and insufficient performance in solving complex functions in the search process of an arithmetic optimization algorithm (AOA). A multi-strategy improved arithmetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::213632b3b8bc1cfa0fb9b42c6af320ec