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A multi-task allocation method for coal gangue sorting robots based on the integration of greedy strategy and scheduling rules
Published 2025-04-01“…Based on a comprehensive consideration of the gangue queue characteristics and queuing theory scheduling rules, a multi-task allocation method for coal gangue sorting robots, integrating a greedy strategy and scheduling rules, was proposed. …”
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122
Gender disparities in literacy: an analysis of regional and age-group variations in Somalia
Published 2025-05-01“…Significant regional variations were observed, with literacy rates ranging from 63.3% in Sool to 21.7% in Middle Shabelle. …”
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Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm
Published 2024-09-01“…Then, a feature extraction method integrating variational mode decomposition (VMD), L‐cliffs‐based effective mode selection, and sample entropy is devised to extract the latent features from the complex high‐dimensional feature space. …”
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126
Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density
Published 2025-07-01“…As a result, few fully functional variable-rate spraying systems have been developed based on this parameter.MethodsThis study presents a variable-rate spraying method that integrates global navigation satellite system (GNSS) positioning with wind-excited audio-conducted estimation of canopy leaf area density. …”
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127
Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism
Published 2025-06-01“…This study proposes a multi-modal joint pulsed eddy current signal sensor denoising method that integrates the inductive disturbance mechanism. …”
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128
Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics
Published 2025-07-01“…Conclusion The deep learning model based on conventional MRI radiomic integrates VAE and IG methods. Compared with traditional machine learning algorithms, it shows the best performance in the prediction of 1p/19q molecular co-deletion status. …”
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129
Embedding delay‐based physical unclonable functions in networks‐on‐chip
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130
Innovative teaching methods in physical fitness education: integrating technology and gamification to improve student engagement-a systematic review
Published 2025-06-01“…Objective: This study systematically reviews empirical research on how technology and gamification contribute to student engagement in physical fitness education. Methods: A systematic review method was employed to analyze studies published in the last 15 years, retrieved from academic databases including Google Scholar, PubMed, and Scopus. …”
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131
RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT)
Published 2023-01-01“…A gearbox fault diagnosis method based on DS evidence theory, which integrates oil and vibration with multiple parameters is proposed. …”
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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China
Published 2025-08-01“…This study innovatively employs deep neural networks (DNN) integrated with SHAP method, integrating nationwide daily meteorological data (2001–2020) and MODIS annual NPP products, to establish the first quantitative causal linkages between extreme temperature events and NPP dynamics across China. …”
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134
Design and simulation of a graphene-integrated SPR biosensor for malaria detection
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135
Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-...
Published 2025-07-01“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems
Published 2025-10-01“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference
Published 2025-01-01“…Experimental results validate the effectiveness of the proposed methods.…”
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139
Posture Control of Hydraulic Flexible Second-Order Manipulators Based on Adaptive Integral Terminal Variable-Structure Predictive Method
Published 2025-02-01“…Simulation experiments comparing the DITSMPC scheme with the classical discrete-time SMC method demonstrate that the proposed scheme results in smooth torque changes in each joint of the manipulator, with the integral of torque variations being <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5.22</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mn>3</mn></msup></mrow></semantics></math></inline-formula>. …”
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Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin...
Published 2025-06-01“…Additionally, the effectiveness of the suggested model (HPFE-ETR) was assessed and contrasted with two common methods, Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD) and Variational Mode Decomposition (VMD), both of which were combined with ETR. …”
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