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A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks
Published 2024-11-01“…To address the issues arising from the integration of a high proportion of distributed generation (DG) into the distribution network, which has led to the transition from traditional single-source to multi-source distribution systems, resulting in increased complexity of the distribution network topology and difficulties in fault localization, this paper proposes a fault localization method based on graph convolutional networks (GCNs) for distribution networks with a high proportion of distributed generation. …”
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1783
Visual indicator for the detection of methylmercury in blood: A critical biomarker for dietary exposure assessment
Published 2025-04-01“…The optimized biosensor achieved a detection limit of 0.195 nM and exhibited a linear response range of 0.195–1.563 nM for MeHg. …”
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1784
TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM
Published 2024-11-01“…The high-dimensional feature vectors extracted from each network are then concatenated and optimized before being inputted into the SVM classifier. …”
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1785
The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024
Published 2025-06-01“…Data sources include official race results, biomechanical studies, and historical records of rule changes. …”
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1786
Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance
Published 2025-04-01“…Furthermore, the model leverages deep neural networks (DNNs) to convexify non-convex frequency constraints and employs a distributionally robust chance-constrained approach with Wasserstein distance-based ambiguity sets to handle RES uncertainty. Additionally, a method of directly obtaining the compromise optimal solution is used to transform the multi-objective problem into a single-objective one. …”
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1787
A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm
Published 2024-01-01“…The complexity of the interconnected grid and the continuous increase of new energy sources have led to an acute problem with low-frequency oscillation (LFO) in power system. …”
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Wind Power Short-Term Prediction Method Based on Time-Domain Dual-Channel Adaptive Learning Model
Published 2025-07-01“…After TCN-based feature compression, an adaptive weighted early fusion mechanism dynamically optimizes channel weights. The ACON adaptive activation function autonomously learns optimal activation patterns, with fused features visualized through visualization techniques. …”
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1790
An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model
Published 2025-05-01“…The CDE-EHO method optimizes the GBM model, achieving maximum accuracy, according to the testing results. …”
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1791
The Comparison of Free Cell and Immobilization Cell Fermentation on Bioethanol Production from Sorghum Stem by SSF and SHF Method
Published 2024-10-01“…This study aimed to determine the effect of fermentation using free cell and cell immobilization techniques on various pH, as well as to identify the most optimal fermentation method (SHF or SSF) for producing the highest ethanol content in sorghum stem fermentation. …”
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1792
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1793
Development of an LC-MS Method for the Analysis of Birch (<i>Betula</i> sp.) Bark Bioactives Extracted with Biosolvents
Published 2025-07-01“…High precision (RSD < 3.3%), sensitivity (LOD: 23 ng mL<sup>−1</sup> and 29 ng mL<sup>−1</sup> for Bet and BAc, respectively), and accuracy (95–102% recovery) were found for this optimized method, using an acidulated water–methanol mixture as the mobile phase and sodium acetate as an additive. …”
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1794
A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction
Published 2025-04-01“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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1795
Performance Evaluation of Hybrid System (PV/ Wind/ Battery) Integrated with Smart Grids
Published 2025-05-01“…Although the Perturb and Observe method is suggested for wind turbines and photovoltaic systems to generate maximum power output, the Particle Swarm Optimization strategy may generate powerful efficiencies, as explained in this study. …”
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A Wide-Range TCSC Based ADN in Mountainous Areas Considering Hydropower-Photovoltaic-ESS Complementarity
Published 2024-09-01“…The optimal objective is to maximize the consumption of renewable energy sources (RESs) and minimize line losses by coordinating the charging/discharging of ESSs with the operation mode of the TCSC. …”
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1798
A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features
Published 2025-07-01“…The deep-layer module applies an optimized feature set to further classify thinly interbedded sandstone and mudstone. …”
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1799
A simplified 3D finite difference method for electromagnetic logging while drilling simulation in symmetrical models
Published 2025-04-01“…In this paper, we present a simplified 3D finite-difference frequency domain method for symmetric geological models. In such models, the electromagnetic field generated by a magnetic dipole source exhibits symmetry in all directions. …”
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1800
Dynamic Monitoring and Precision Fertilization Decision System for Agricultural Soil Nutrients Using UAV Remote Sensing and GIS
Published 2025-07-01“…We propose a dynamic monitoring and precision fertilization decision system for agricultural soil nutrients, integrating UAV remote sensing and GIS technologies to address the limitations of traditional soil nutrient assessment methods. The proposed method combines multi-source data fusion, including hyperspectral and multispectral UAV imagery with ground sensor data, to achieve high-resolution spatial and spectral analysis of soil nutrients. …”
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