Results 81 to 90 of about 280 (148)

Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems

Mathematics
Over the past few years, reducing energy consumption in hydraulic excavators has gained increasing attention, driving significant research in this field. One effective strategy involves integrating hydrostatic transmission (HST) and hydraulic pump/motor (
Van Hien Nguyen, Kyoung Kwan Ahn
doaj   +1 more source

A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm

Frontiers in Energy Research
Endeavoring to enhance the penetration rate of renewable energy sources, concurrently ensuring economic and operational stability, this study proposes a novel bi-layer optimization method of the wind–solar-storage AC/DC microgrid (MG).
Xianjing Zhong, Xianbo Sun, Yuhan Wu
doaj   +1 more source

A High‐Accuracy TEC Model for Low‐Mid Latitudes Using a BWO‐Optimized CNN‐xLSTM Hybrid Model With Multi‐Instrument Data Fusion

Space Weather
The total electron content (TEC) in the ionosphere is strongly affected by solar activity and geomagnetic disturbances in mid‐ and low‐latitude regions, making it a major source of error in GNSS navigation and communication systems.
Wang Li, Jitong Li, Jiale Li, Guanyu Chen, Dongsheng Zhao, Longjiang Li, Xiaoqing Zuo, Kefei Zhang   +7 more
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Enhancing underwater acoustic signal prediction with adaptive double-stage decomposition and a hybrid model

Ecological Informatics
Underwater acoustic signal prediction is a key underwater acoustic signal processing task. However, the strong non-linear and non-smooth nature of underwater acoustic signals leads to their high unpredictability.
Yuxing Li, Jiawei Yue, Yuhan Zhou
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BWO-Optimized CNN-BiGRU-Attention Model for Short-Term Load Forecasting

Information
Short-term load forecasting is essential for optimizing power system operations and supporting renewable energy integration. However, accurately capturing the complex nonlinear features in load data remains challenging.
Ruihan Wu, Xin Wen
doaj   +1 more source

Optimal Charging Current Protocol with Multi-Stage Constant Current Using Dandelion Optimizer for Time-Domain Modeled Lithium-Ion Batteries

Applied Sciences
This study utilized a multi-stage constant current (MSCC) charge protocol to identify the optimal current pattern (OCP) for effectively charging lithium-ion batteries (LiBs) using a Dandelion optimizer (DO).
Seongik Han
doaj   +1 more source

Optimization of drama teaching strategies driven by deep reinforcement learning

Discover Artificial Intelligence
Traditional teaching strategies often fail to dynamically adapt leading to suboptimal student engagement. However, traditional teaching strategies often fail to dynamically adapt to diverse classroom conditions, leading to suboptimal student engagement ...
Zihua Wang
doaj   +1 more source

Non-Destructive Identification of Virgin Cashmere and Chemically Modified Wool Fibers Based on Fractional Order Derivative and Improved Wavelength Extraction Algorithm Using NIR Spectroscopy and Chemometrics

Journal of Natural Fibers
Virgin cashmere is highly prized for its superior quality, and chemically modified wool is often used to fake it. However, traditional spectral analysis and image processing methods struggle to identify the two fibers.
Yaolin Zhu, Yong Zhang, Xin Chen, Jinni Chen, Hongsong Zhang   +4 more
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A Novel Improved Beluga Whale Optimization Algorithm for Solving Localization Problem in Swarm Robotic Systems

In Swarm Robotic Systems (SRSs), only a few robots are equipped with Global Positioning System (GPS) devices, known as anchors. A challenge lies in inferring the positions of other unknown robots based on the positions of anchors.
Dong, Qian, Teng, Zuhao
core  

A Wind Power Combination Forecasting Method Based on GASF Image Representation and UniFormer

Journal of Marine Science and Engineering
In the field of wind power prediction, traditional methods typically rely on one-dimensional time-series data for feature extraction and prediction. In this study, we propose an innovative short-term wind power forecasting approach using a “visual” 2D ...
Wei Guo, Li Xu, Danyang Zhao, Dianqiang Zhou, Tian Wang, Xujing Tang   +5 more
doaj   +1 more source