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Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate
Published 2018-01-01“…It can establish a qualitative and quantitative evaluation model which is closer to human thought patterns. …”
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242
Accurate Reliability Evaluation Method and Weak Link Identification for Low-Voltage Distribution Networks That Considers User Demand Levels
Published 2025-04-01“…The reliability of the power supply in low-voltage distribution networks plays a crucial role in efficient power system operation. …”
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Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers
Published 2024-01-01“…The evaluation shows that the proposed algorithms almost double the forwarding rate compared to a naive implementation without the proposed algorithms under realistic request patterns to data packets. …”
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248
The quantity, quality and findings of network meta-analyses evaluating the effectiveness of GLP-1 RAs for weight loss: a scoping review
Published 2025-06-01“…Objectives We sought to identify the most recent network meta-analyses evaluating the effectiveness of glucagon-like peptide 1 receptor agonists for weight loss; critically appraise included network meta-analyses; provide an overview of the quality and findings of existing network meta-analyses, and identify any pertinent gaps in the evidence; and consider the value of updating the most recent, comprehensive and high-quality network meta-analyses. …”
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249
Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks
Published 2025-01-01“…This study introduces a novel figure of merit for evaluating the stability of perovskite solar cells (PSCs) by employing advanced Long Short-Term Memory (LSTM) neural networks to investigate degradation mechanisms. …”
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250
Urban agglomeration transportation resilience: evaluation and evolution analysis using a data-driven model
Published 2025-06-01“…This study proposes an innovative, data-driven approach to quantify urban transportation resilience, integrating genetic algorithms (GA), backpropagation (BP) neural networks, and the entropy weighting method. This approach aims to eliminate the introduction of subjective biases by experts in traditional methods, providing a more accurate and objective evaluation results. …”
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251
Spatial Heterogeneity in Soil Microbial Communities Impacts Their Suitability as Bioindicators for Evaluating Productivity in Agricultural Practices
Published 2025-05-01“…Results revealed marked disparities in soil properties, bacterial community compositions, and co-occurrence network patterns between intra-row and inter-row soils. …”
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252
Multi-Scenario Simulation Evaluation and Strategic Zoning of Habitat Services Based on Habitat Quality and Ecological Network: A Case Study of Lanzhou City
Published 2024-12-01“…Across various analysis radii of space syntax, except for MED at a 6000 m radius, the ecological priority scenario exhibits excellent network accessibility. The coupling coordination degree of the four scenarios generally lies within a mild imbalance level, with a spatial distribution pattern characterized by “high in the west and low in the east”. …”
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Data generation for asphalt pavement evaluation: Deep learning-based insights from generative models
Published 2025-12-01“…Its generalization capabilities were validated across multiple real-world datasets, demonstrating reliable performance under diverse crack patterns and imaging conditions. By addressing the challenges of data scarcity and improving segmentation accuracy, this research offers a scalable and efficient framework for automated pavement evaluation. …”
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256
Understanding the ancient classic and famous prescriptions via the property of Chinese materia medica
Published 2025-05-01“…Existing research predominantly focuses on individual prescriptions, and there is lack of systematic exploration of medication patterns within the official ACFPs catalog. The property of Chinese materia medica (PCMM), a multidimensional representation of medicinal properties, offers a novel perspective for systematically analyzing TCM formulas.ObjectiveIn this study, we aim to investigate the implicit medication patterns of ACFPs from the PCMM perspective, establish a feature extraction model based on the property combination of Chinese materia medica (PCCMM), and evaluate its effectiveness in representing and reconstructing ACFPs.MethodsBased on the Chinese Pharmacopoeia (ChP), we constructed a CMM–PCCMM network as the forward feature extraction process. …”
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257
Pore connectivity evaluation and seepage characteristic of ultra deep carbonate reservoirs of permian Qixia formation in NW Sichuan basin
Published 2025-07-01“…It also explores methods for evaluating the connectivity of multi-scale pore networks in the Qixia Formation. …”
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Supporting Radiologists with Automated Image Analysis: An Evaluation of Deep Learning Tools for Augmenting Breast Cancer Screening
Published 2025-04-01“…By focusing on complex patterns among genetic, hormonal, lifestyle, and environmental factors, the objective is to determine how effectively ANNs can rank and assess these risks. …”
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RETRACTED: An Adaptive Hierarchical Network Model for Studying the Structure of Economic Network
Published 2022-05-01“…Meanwhile, we select four real data sets for model evaluation and observe the resilience in the network hierarchy evolution and the differences formed by different patterns of hierarchy preference mechanisms, which help us better understand data science and network dynamics evolution.…”
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