Results 11 to 20 of about 280 (148)

Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm. [PDF]

PLoS ONE
Traditional PID control faces challenges in addressing parameter uncertainty and nonlinearity in active suspension electrohydraulic servo actuators, leading to suboptimal performance. To address these challenges, a fractional-order PID (FOPID) controller
Qinghe Guo, Mengchao Wang, Renjun Liu, Yurong Chen, Shenghuai Wang, Hongxia Wang   +5 more
doaj   +2 more sources

Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM. [PDF]

PLoS ONE
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy.
Xiangjuan Liu, Yunlong Li, Fengtong Wang, Yujie Qin, Zhongyu Lyu   +4 more
doaj   +2 more sources

Hydropower station scheduling with ship arrival prediction and energy storage [PDF]

Scientific Reports, 2023
Effectiveness improvement in power generation and navigation for grid-connected hydropower stations have emerged as a significant concern due to the challenges such as discrepancies between declared and actual ship arrival times, as well as unstable ...
Enjiang Zhou, Xiao Liu, Zhihang Meng, Song Yu, Jinxiu Mei, Qiang Qu   +5 more
doaj   +2 more sources

Integrative soft computing approaches for optimizing thermal energy performance in residential buildings. [PDF]

PLoS ONE, 2023
As is known, early prediction of thermal load in buildings can give valuable insight to engineers and energy experts in order to optimize the building design.
Yao Peng, Yang Chen
doaj   +2 more sources

Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. [PDF]

PLoS ONE
To address the issue of low accuracy in existing remaining useful life (RUL) prediction algorithms for rolling bearings, this paper proposes a novel RUL prediction method based on the Beluga Whale Optimization (BWO) algorithm, Variational Mode ...
Wei Liu, Sen Liu
doaj   +2 more sources

Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms

International Journal of Digital Earth, 2023
Landslides are one of the most common geological hazards worldwide, especially in Sichuan Province (Southwest China). The current study's main purposes are to explore the potential applications of convolutional neural networks (CNN) hybrid ensemble ...
Zhuo Chen, Danqing Song
doaj   +2 more sources

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters
Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
doaj   +2 more sources

A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle [PDF]

Frontiers in Plant Science
IntroductionThe Cinnamomum Camphora var. Borneol (CCB) tree is a valuable timber species with significant medicinal importance, widely cultivated in mountainous areas but susceptible to pests and diseases, making manual surveillance costly.MethodsThis ...
Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang   +12 more
doaj   +2 more sources

Collaborative Optimization of Air Compressor Units Based on MSI-BWO Algorithm

IEEE Access
To improve the operational efficiency of compressor units and reduce waste, a Multi-Strategy Improved Beluga Whale Optimization (MSI-BWO) algorithm is proposed for the collaborative combination optimization of compressor units in an air compressor plant.
Lei Chen, Jiaxin Hou, Xiaolong Zheng, Tao Zhang, Chunhua Hu   +4 more
doaj   +2 more sources

Blueberry bruise non-destructive detection based on hyperspectral information fusion combined with multi-strategy improved Beluga Whale Optimization algorithm [PDF]

Frontiers in Plant Science
IntroductionMechanical damage significantly reduces the market value of fruits, making the early detection of such damage a critical aspect of agricultural management. This study focuses on the early detection of mechanical damage in blueberries (variety:
Xiaoxiong Sun, Xiaoxiong Sun, Liangkuan Zhu, Dayang Liu   +3 more
doaj   +2 more sources