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Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM
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A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M...
Published 2025-06-01“…To tackle this issue, we developed a new tool that harnesses optimization models, enhancing the reliability and accuracy of water quality assessments. Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model
Published 2025-05-01“…To address the limitations of conventional prediction methods, in this study, we introduce an enhanced predictive model, the improved sparrow search algorithm-optimized extreme learning machine (ISSA-ELM), for accurate karst-collapse susceptibility assessment. …”
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Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function
Published 2025-03-01Get full text
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning
Published 2025-01-01“…To address the multi-factor coupling, temporal dependency, and nonlinear complexity characteristics of concrete dam deformation, this paper proposed a hybrid prediction model integrating attention mechanisms, bidirectional long short-term memory (BiLSTM) networks, and sparrow search algorithm (SSA). The model comprehensively matched the multiple requirements of information weighting, temporal dependency modeling, and model optimization in concrete dam deformation prediction, forming a synergistic enhancement effect among methods.The attention mechanism operates on both feature and temporal dimensions to comprehensively enhance the model's focus on critical information. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting
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Binary composite crossover genetic algorithm for locating critical slip surface
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CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis
Published 2025-03-01Get full text
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Research on rock burst prediction based on an integrated model
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Video Refereeing Model of Soccer Match Based on Fuzzy Clustering and Cuckoo Optimization Algorithm
Published 2024-01-01“…To address this issue, the research utilizes sinusoidal mapping and the simplex method to enhance the cuckoo algorithm. …”
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Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots
Published 2025-01-01“…The results indicated that, compared to Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), Whale Optimization Algorithm (WOA), and Kepler Optimization Algorithm (KOA), GKOA reduced the optimal solution cost by 10.3%, 8.2%, 7.0%, and 4.5%, respectively. …”
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Transformer Fault Diagnosis Based on Multi-Strategy Enhanced Dung Beetle Algorithm and Optimized SVM
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Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm
Published 2025-07-01Get full text
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A levy chaotic horizontal vertical crossover based artificial hummingbird algorithm for precise PEMFC parameter estimation
Published 2024-11-01“…Abstract In this research, enhanced versions of the Artificial Hummingbird Algorithm are used to accurately identify unknown parameters in Proton Exchange Membrane Fuel Cell (PEMFC) models. …”
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Research on the Influence of Composite Modification Design on Tooth Surface Wear of Transmission Gears
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Research on Multi-Channel Spectral Prediction Model for Printed Matter Based on HMSSA-BP Neural Network
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PM2.5 IoT Sensor Calibration and Implementation Issues Including Machine Learning
Published 2024-12-01Get full text
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