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Modelling distillate output of a solar distiller with eco-friendly wood-based steam generation basin using machine learning model and starling murmuration optimizer
Published 2025-05-01“…The predicted data of all models was evaluated using different error measures. These models were standalone LSTM and LSTM optimized by an artificial hummingbird algorithm (AHA) or manta ray foraging optimizer (MRFO). …”
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Evaluation and Projection of Precipitation and Precipitation Extremes in the Source Region of the Yangtze and Yellow Rivers Based on CMIP6 Model Optimization and Statistical Downsc...
Published 2025-06-01“…ABSTRACT This study evaluated the performance of a high‐resolution statistical downscaling (HSD) approach integrating optimal global climate models (GCMs) and quantile delta mapping (QDM) for the source region of the Yangtze and Yellow rivers, and then projected regional precipitation extremes. …”
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Advancing Multimodal Large Language Models: Optimizing Prompt Engineering Strategies for Enhanced Performance
Published 2025-04-01“…To evaluate user satisfaction with MLLM-generated responses, we adopt a comprehensive set of evaluation metrics, including BLEU, ROUGE, METEOR, S-BERT, MoverScore, and CIDEr. …”
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Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance matrix generatio...
Published 2024-12-01“…In such cases, the ensemble optimal interpolation scheme (EnOI), which works on a single model run instead of ensemble evolution, may offer a sub‐optimal alternative. …”
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Analysis of Power Enhancement in Facade-BIPV Systems Through Module-Level Power Optimizer: Evaluating Performance Under Shading Conditions
Published 2024-11-01“…The performance of BIPV systems was evaluated without a power optimizer, with a conventional power optimizer, and with the new prototype power optimizer through simulations and experiments under different shading conditions. …”
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129
Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system
Published 2025-04-01“…This study introduces an optimal power flow model to evaluate the transfer capability of a renewable generation base transmitted by voltage source converter based high voltage direct current system. …”
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130
Advantages of digital twin technology in orthopedic trauma Surgery – Exploring different clinical use cases
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Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Vo...
Published 2023-01-01“…It is established that the proposed GOMOHSA finds the optimal deployment of optimally sized RE generators, and the investment cost of deployment of these RE generators can be recovered within a time period that is less than 5 years. …”
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Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China
Published 2025-10-01“…To address the insufficient integration of performance evaluation and contextual analysis in traditional architectural design, this paper proposes a design workflow that combines data-driven and performance-driven approaches, establishing a comprehensive operational pathway from typology selection and design generation to performance assessment. …”
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Evaluation of different factor assignment methods for slope unit-based landslide susceptibility assessment: a case study in Fengjie County, China
Published 2025-12-01“…To address this issue, a machine learning-based evaluation was performed to determine optimal factor assignment methods. …”
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135
Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios
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A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation
Published 2024-12-01“…WGAN is optimized to simulate ideal wind power scenarios. The generated data are measured by cumulative distribution function (CDF) and continuously ranked probability score to evaluate the performance of the proposed model. …”
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Regression Analysis of Triply Periodic Minimal Surface (TPMS) Models to Achieve Multi-Objective Optimization
Published 2025-04-01“…Five TPMS types (Gyroid, Diamond, Lidinoid, SplitP, and Schwartz) were evaluated using thermal simulations in nTop, and a regression-based predictive model was developed to assess the impact of lattice thickness and cell size on surface area to volume ratio (SA/V<sub>S</sub>) and temperature difference (ΔT). …”
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