Results 51 to 60 of about 207 (112)

A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory

Discover Computing
English word memory is affected by semantic interference and context changes, which leads to rapid decline of long-term memory. This paper uses DeBERTa (Decoding-enhanced BERT with disentangled attention) to perform word part-of-speech classification and
Jiasheng Zhu
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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
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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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Forecasting of ROTI index in polar regions using BWO-VMD-LSTM hybrid model

Earth and Planetary Physics
The Rate of TEC Index (ROTI), a crucial indicator of fluctuations in the ionospheric Total Electron Content (TEC), has long served as an effective proxy for characterizing ionospheric activity.
YeWen Wu, Kang Gong, JianJun Liu, ZhiWei Wang, LiGuo Zhang, Ming Ou, Jing Chen, Lin Ni, HuiXuan Qiu, XiangCai Chen, Run Shi   +10 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
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Hybrid deep learning model for accurate settlement forecasting of metro tracks under canal diversion engineering

Developments in the Built Environment
The structural stability of metro systems is essential for safe and reliable urban rail operation. Large-scale underground construction may influence existing metro lines, making accurate settlement prediction necessary.
Haijie He, Zhenlin Wang, Sifan Shen, Shiyu Sheng, Jing Zhang, Chuang He, Huafeng Shan, Qiongfang Zhang, Li Ai   +8 more
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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