Search Results - "Sparrow optimization algorithm"

Fast fault detection method for photovoltaic arrays with adaptive deep multiscale feature enhancement by Gong, Bin, An, Aimin, Shi, Yaoke, Zhang, Xuemin

“…Photovoltaic (PV) arrays have output characteristics such as randomness and intermittency, and faults can seriously affect the safe operation of the power…”
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Deep learning-Guided optimization of cobalt catalysts for antibiotic degradation by Jiang, Siyuan, Zhou, Shengwen, Wang, Ce, Man, Zhihao, Shi, Xiaoqi, Cheng, Xiuwen

“…Confronting the escalating issue of antibiotic pollution in global aquatic environments, our research integrates machine learning with optimization algorithms…”
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Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function by Li, Shuxun, Zhao, Qian, Liu, Jinwei, Zhang, Xuedong, Hou, Jianjun

“…The performance of steam traps plays an important role in the normal operation of steam systems. It also contributes to the improvement of thermal efficiency…”
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A hybrid sparrow optimization Kriging model and its application in geological modeling by Shi, Xiaonan, Wang, Yumo, Wu, Haoran, Wang, Aoqian

“…With the proposal of intelligent mines, the demand for drilling is increasing daily. Therefore, it is particularly crucial to gather more geological data by…”
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Application of multi-modal temporal neural network based on enhanced sparrow optimization in lithium battery life prediction by Liu, Zeyu, Du, Xiaofang, Shi, Yuhai

“…This paper introduces the DeNet-Mamba-DC-SCSSA network, an advanced solution for predicting the Remaining Useful Life (RUL) of lithium-ion batteries, crucial…”
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Control method of robotic arm integrating PID feedforward compensation and SAC algorithm by Yu, Shuang, Chen, Wei, Li, Jian, Zhou, Xin

“…To solve the problems of response lag and limited generalization of a single algorithm in traditional control methods for robotic arm trajectory tracking, a…”
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Machine learning-based predictions and analyses of the creep rupture life of the Ni-based single crystal superalloy by Zou, Fan, Liu, Pengjie, Chen, Yanzhan, Zhao, Yaohua

“…The evaluation of creep rupture life is complex due to its variable formation mechanism. In this paper, machine learning algorithms are applied to explore the…”
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Short-Term Power Load Forecasting Method Based on Improved Sparrow Search Algorithm, Variational Mode Decomposition, and Bidirectional Long Short-Term Memory Neural Network by Wen, Ming, Liu, Bo, Zhong, Hao, Yu, Zongchao, Chen, Changqing, Yang, Xian, Dai, Xueying, Chen, Lisi

“…A short-term power load forecasting method is proposed based on an improved Sparrow Search Algorithm (ISSA), Variational Mode Decomposition (VMD), and…”
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Gas concentration prediction based on SSA algorithm with CNN-BiLSTM-attention by Xing, Wenjing, Yang, Yanguo, Zhang, Yanxin, Yang, Yong

“…Accurate prediction of coal mine gas concentration is a crucial prerequisite for preventing gas exceed and disasters. However, the existing methods still…”
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Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm by Shi, Pei, Tang, Mingjie, Wang, Quan, Ma, Xiaofei

“…Dissolved oxygen (DO) is a crucial indicator of water quality in river ecosystems, and its accurate prediction plays a vital role in the protection and…”
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Daily soil moisture prediction during winter wheat growth season using an SCSSA-CNN-BiLSTM model by CUI Song, WU Jin, ZHANG Naifeng, LIU Meng, HU Yongsheng, HE Yanan, GU Yue, LONG Xinya, WANG Zhenlong

“…【Objective】Accurate prediction of field soil moisture is crucial for managing agricultural production and water-saving irrigation. This paper proposes a new…”
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A CNN-BILSTM monthly rainfall prediction model based on SCSSA optimization by Zhang, Xianqi, Yang, Yang, Liu, Jiawen, Zhang, Yuehan, Zheng, Yupeng

“…Meteorological conditions play an important role in China's national production, and the accurate prediction of precipitation is of great significance for…”
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LSTM Short-term Electricity Load Forecasting Model Based on Improved Sparrow Search Algorithm and Ensemble Learning by Gong, Ze, Zhang, Yong

“…Accurate short-term power load forecasting is crucial for power system management and planning, significantly enhancing operational efficiency, optimizing…”
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Taxi Demand Method Based on SCSSA-CNN-BiLSTM by Guo, Dudu, Sun, Miao, Wang, Qingqing, Zhang, Jinquan

“…The randomness of passengers’ travel and the blindness of empty drivers seeking passengers can lead to a serious imbalance in the spatio-temporal distribution…”
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A Dam Safety State Prediction and Analysis Method Based on EMD-SSA-LSTM by Yang, Xin, Xiang, Yan, Wang, Yakun, Shen, Guangze

“…The safety monitoring information of the dam is an indicator reflecting the operational status of the dam. It is a crucial source for analyzing and assessing…”
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Short-term load forecasting of ICEEMDAN-FE and CNN-BiLSTM based on multi-strategy improved sparrow algorithm optimization by Tang, Renzhe, Zhao, Taoyan, Cao, Jiangtao

“…To solve the problems of incomplete feature extraction and long-term dependence of traditional methods on load time series, a ICEEMDAN-FE-CNN-BiLSTM short-term…”
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An Improved Density-Based Spatial Clustering of Applications with Noise Algorithm with an Adaptive Parameter Based on the Sparrow Search Algorithm by Huang, Zicheng, Liang, Zuopeng, Zhou, Shibo, Zhang, Shuntao

“…The density-based spatial clustering of applications with noise (DBSCAN) is able to cluster arbitrarily structured datasets. However, the clustering result of…”
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Low Carbon Operation Control Technology for Smart Parks Combined with Intelligent Optimization Algorithms by Zhao, Wenguang, Wang, Xiaoming, Xu, Bin, Gao, Bo, Ma, Wei

“…This paper first calculates carbon emissions based on the carbon emission factor method and other methods and constructs a linear programming model for…”
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L2-SSA-LSTM prediction model of steering drilling wellbore trajectory by Gao, Yi, Wang, Na, Ma, Yihao

“…The high-speed vibration rotation of the drill bit during drilling causes the logging tool to be damaged or distorted, resulting in inaccurate or lost data…”
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Research on Short-Term Load Forecasting Based on Optimized GRU Neural Network by Li, Chao, Guo, Quanjie, Shao, Lei, Li, Ji, Wu, Han

“…Accurate short-term load forecasting can ensure the safe and stable operation of power grids, but the nonlinear load increases the complexity of forecasting…”
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