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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation
Published 2025-06-01“…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
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Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement
Published 2024-11-01“…The settlement values of subway tunnels during the construction period exhibit significant nonlinear and spatial–temporal variation characteristics. To overcome the problems of historical data interference and spatiotemporal characteristics in tunnel settlement prediction models, this paper proposes a tunnel settlement prediction method based on data decomposition, reconstruction, and optimization. …”
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Generalising the Machine Tool Integrated Inverse Multilateration Method for the Ambient Thermal Error Analysis of Large Machine Tools in Industrial Environments
Published 2025-02-01“…This method integrates an absolute distance measurement device into the machine tool spindle, enabling an automated and robust multilateration scheme without requiring controlled environments, expensive thermal instruments, or specialised artifacts. …”
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168
A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine
Published 2025-03-01“…Therefore, this study proposes a rice mapping method (LR) using Google Earth Engine (GEE), which uses Landsat images and integrates automatic generation of training samples and a machine learning algorithm, with the assistance of phenological methods. …”
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the Solving Partial Differential Equations by using Efficient Hybrid Transform Iterative Method
Published 2024-06-01“…When used to solve KdV , Wave like and Pseudo – Parabolic equations , the proposed method helps to avoid Problems that frequently arise when determining the Lagrange Multiplier and the difficult integration usedin the variation iteration method , as well as the need to use the transform convolution theorem. …”
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Unveiling quantum phase transitions from traps in variational quantum algorithms
Published 2025-06-01Get full text
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Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation
Published 2025-07-01“…These results indicate that integrating measurement and feedback into variational quantum algorithms provides a promising framework for quantum state preparation.…”
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Slope stability analysis by integration of seismic refraction method and geotechnical soil testing: Case study of landslide in Bulobulo Village, Barru Regency, Indonesia
Published 2025-04-01“…The factor of safety (FoS) calculated using the limit equilibrium technique established some slopes as being in a critical state and, hence, at risk of landslides. Such integration of methods allows one to make data-driven proposals for landslide prevention and provides a comprehensive comprehension of slope performance.…”
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Benefits of the Global Integration Method (Método de Integração Global - MIG) in functional priorities of parents of Brazilian children and adolescents with autism spectrum disorde...
Published 2025-01-01“…Additionally, this study aimed to evaluate changes in parents’ performance and satisfaction with functional priorities after intervention with the Global Integration Method (Métodode Integração Global - MIG). …”
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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements
Published 2025-05-01“…Sea surface wind retrieval methods using synthetic aperture radar (SAR) are generally classified into two categories: the direct inversion method and the variational analysis method (VAM). …”
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Integrating Backscattered Electron Imaging and Multi-Feature-Weighted Clustering for Quantification of Hydrated C<sub>3</sub>S Microstructure
Published 2025-05-01“…Therefore, this study proposes a weighted K-means clustering method that integrates intensity gradients, texture variations, and spatial coordinates for the quantitative analysis of hydrated C<sub>3</sub>S microstructure. …”
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Frequency Responses Resistance to Variations of Electric Filter Parameters
Published 2017-06-01“…The inverse sum of average values of the integral function for the specific set of elements serves as integrated evaluation of response resistance to the filters parameter variations. …”
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Red-Leafed Lettuces: Genetic Variation or Epigenetic Photomorphogenesis?
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Diurnal variations in corneal biomechanics in healthy young adults
Published 2025-02-01“…Abstract Purpose To assess the diurnal changes in corneal biomechanics in healthy young adults. Methods At Wenzhou Medical University Eye Hospital in China, a prospective case series. …”
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Numerical Study of Surrounding Rock Damage in Deep-Buried Tunnels for Building-Integrated Underground Structures
Published 2025-06-01“…Understanding the distribution characteristics of rock damage zones under these conditions is crucial for the design and safety of building-integrated underground structures. This study investigates the relationship between surrounding rock damage and in situ stress conditions through numerical simulation methods. …”
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