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Frontal sinus variation in extant species of the genera Pan, Gorilla and Homo
Published 2021-10-01“…A simple and repeatable method is described here to quantify variation in the shape, size and bilateral variation of the frontal sinuses. …”
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R-function method and variational method for the bending problem of functionally graded plates with fixed supports and complex shapes
Published 2025-04-01“…This study integrates the R-function theory with the variational method to investigate the bending problem of functionally graded plates with complex boundaries. …”
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Solution of Nonlinear Partial Differential Equations by New Laplace Variational Iteration Method
Published 2014-01-01“…The aim of this study is to give a good strategy for solving some linear and nonlinear partial differential equations in engineering and physics fields, by combining Laplace transform and the modified variational iteration method. This method is based on the variational iteration method, Laplace transforms, and convolution integral, introducing an alternative Laplace correction functional and expressing the integral as a convolution. …”
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Temporal evidence fusion evaluation method considering time sequence variation trend
Published 2025-07-01“…Then, conflict information between evidence was interpreted as the temporal variation information of propositions. An evidence combination rule integrating temporal variation factors of propositions was proposed in this paper. …”
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Variational Iteration Method for Volterra Functional Integrodifferential Equations with Vanishing Linear Delays
Published 2014-01-01“…Application process of variational iteration method is presented in order to solve the Volterra functional integrodifferential equations which have multi terms and vanishing delays where the delay function θ(t) vanishes inside the integral limits such that θ(t)=qt for 0<q<1, t≥0. …”
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Variational Iteration Transform Method for Fractional Differential Equations with Local Fractional Derivative
Published 2014-01-01“…The method reduces the integral calculation of the usual variational iteration computations to more easily handled differential operation. …”
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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction
Published 2025-04-01“…This study proposes a hybrid forecasting model integrating variational mode decomposition (VMD), the Fruit Fly Optimization Algorithm (FOA), and a gated recurrent unit (GRU). …”
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Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets
Published 2025-08-01“…To address these challenges, we proposes a flexible integration framework based on Variational Autoencoder called scGCM. …”
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The integral equation methods for the perturbed Helmholtz eigenvalue problems
Published 2005-01-01“…In this paper, we address the integral equation method in the evaluation of eigenfunctions and the corresponding eigenvalues of the two-dimensional Laplacian operator under boundary variations of the domain. …”
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MSVMD-Informer: A Multi-Variate Multi-Scale Method to Wind Power Prediction
Published 2025-03-01“…Wind power prediction plays a crucial role in enhancing power grid stability and wind energy utilization efficiency. Existing prediction methods demonstrate insufficient integration of multi-variate features, such as wind speed, temperature, and humidity, along with inadequate extraction of correlations between variables. …”
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UNDERSTANDING REGIONAL INTEGRATION VARIATION AND THE ADOPTION OF NEW TECHNOLOGY: EU AND ASEAN LEGAL FRAMEWORK ON ELECTROMOBILITY IN COMPARATIVE PERSPECTIVES
Published 2023-06-01“…Furthermore, this study will discuss the variation and comparative influence of EU and ASEAN regional integration on adopting new technologies, namely EVs, in the context of climate change adaptation. …”
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MGV-seq: a sensitive and culture-independent method for detecting microbial genetic variation
Published 2025-06-01“…To address these challenges, we developed MGV-Seq, an innovative culture-independent approach that integrates multiplex PCR, high-throughput sequencing, and bioinformatics to analyze multiple dispersed nucleotide polymorphism (MNP) markers, enabling high-resolution strain differentiation.MethodsUsing Xanthomonas oryzae as a model organism, we designed 213 MNP markers derived from 458 genome assemblies. …”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods
Published 2025-01-01“…This study explores and validates an integrated evaluation system that enhances the accuracy of predicting coal seam mining mode by comparing traditional evaluation methods with machine-learning techniques. …”
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