Illuminant estimation method based on Color Lines and dichroic reflection model by Soshun Muto, Mashiho Mukaida, Noriaki Suetake

“…In this paper, we propose an illuminant estimation method using Color Lines in conjunction with the dichroic reflection model. …”
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Second order algorithm with convergence analysis for viscoelastic flow model by Chinedu Nwaigwe, Sanda Micula

“…Abstract Viscoelastic fluids have several applications in industry and technology, which has attracted a lot of investigation into their mathematical models. This paper presents the first-ever verifiable convergent second-order method, with complete theoretical analysis, for one-dimensional viscoelastic flow model. …”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Aiming at the lack of research on the performance of deep learning models in predicting software refactoring in the current field, a deep learning-based software refactoring prediction evaluation method was proposed to assess the refactoring predictive performance of these models. …”
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A method for quantifying and automatic grading of musculoskeletal ultrasound superb microvascular imaging based on dynamic analysis of optical flow model by Shanna Liu, Bo Shang, Junliang Yan, Zenghua Zhu, Yuanhao Ding, Qingli Zhou, Chengjing Wei, Yuqiang Shen, Xinjian Zhu

“…This study introduces a novel quantitative and automated grading method utilizing dynamic analysis through an optical flow model. …”
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Dynamic Modeling of a Compressed Natural Gas Refueling Station and Multi-Objective Optimization via Gray Relational Analysis Method by Fatih Özcan, Muhsin Kılıç

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A Posteriori Error Analysis for a Lagrange Multiplier Method for a Stokes/Biot Fluid-Poroelastic Structure Interaction Model by Houédanou Koffi Wilfrid

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Refinement of Finite Element Method Analysis Model of Pressurized Water Reactor Nuclear Fuel Spacer Grid Based on Experimental Data by Minhee Kim, Ihn Namgung

“…A Finite Element Method (FEM) analysis of the nuclear fuel spacer grid was conducted to assess the strength of components for the safety of nuclear power plants. …”
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Multi-source data based refined transient modelling and analysis method for thermal performance of precision machine tool feed system by Yingjie Zheng, Lingtao Weng, Yuhong Dai, Yutao Fu, Kai Shi, Zheng Wang, Weiguo Gao, Dawei Zhang, Tian Huang

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ANALYSIS OF SUBSURFACE STRUCTURE OF IRON SAND POTENTIAL WITH 3D MODELLING RESISTIVITY GEOELECTRIC METHOD IN PANDANWANGI VILLAGE KUNIR LUMAJANG by Mahrul Junaid Ubaidillah, Firdha Kusuma Ayu Anggraeni, Trapsilo Prihandono Prihandono

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Analysis of E-Commerce Seller Behavior Using the Technology Acceptance Model (TAM) Method: : Case Study on the Thaijajan Community on Shopee by Resti Rahayu, Rizqiyatul Khoiriyah, S. B. P. Handhajani, Ayu Indraswari

“…Therefore, it is necessary to conduct a behavioral analysis of sellers using the Technology Acceptance Model (TAM) method so that it can be known how users (sellers) behave towards accepting the e-commerce application used, namely Shopee Seller. …”
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SEIRS model for TB transmission dynamics incorporating the environment and optimal control by Francis Oketch Ochieng

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Comparison of methods for estimating reservoir sedimentation by Aline Guidolin da Luz, Bruna Arcie Polli, Tobias Bernward Bleninger, Bernardo Lipski, Elizabete Bugalski de Andrade Peixoto, Ana Lia Warcheski

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TDP-SAR: Task-Driven Pruning Method for Synthetic Aperture Radar Target Recognition Convolutional Neural Network Model by Tong Zheng, Qing Wu, Chongchong Yu

“…While deep learning has become the predominant approach for SAR target recognition, existing methods face practical deployment challenges due to excessive model complexity. …”
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ED-Stacking：A Construction Method of Few-shot Prediction Model for Beef Microbial Growth Based on Ensemble Learning by Hanqiang LI, Yi CHEN, Yufei GAO, Kun HOU, Liping SONG, Jing LI

“…Finally, the stacking method in ensemble learning was used to fuse the three trained models to form ED-Stacking, a microbial growth prediction model with better performance in prediction. …”
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Raman spectroscopy coupled with the PLSR model: A rapid method for analyzing gamma-oryzanol content in rice bran oil by Pattamapan Lomarat, Chutima Phechkrajang, Pawida Sunghad, Natthinee Anantachoke

“…This study developed a rapid, non-destructive method for quantifying γ-oryzanol in RBO using Raman spectroscopy combined with partial least squares regression (PLSR). …”
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A Method to Assess and Explain Changes in Sub‐Daily Precipitation Return Levels From Convection‐Permitting Simulations by Eleonora Dallan, Marco Borga, Giorgia Fosser, Antonio Canale, Bardia Roghani, Marco Marani, Francesco Marra

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A Microgrid Stability Improvement Method by Applying Virtual Adaptive Resistor Paralleling with a Grid-Connected Inverter by Mingming Shi, Xian Zheng, Juntao Fei, Wenqiang Xie, Jianyu Yu

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Fractional-order computational modeling of pediculosis disease dynamics with predictor–corrector approach by Naveed Iqbal, D. K. Archana, D. G. Prakasha, Meraj Ali Khan, Abdul Haseeb, Ibrahim Al-Dayel

“…In the context of human disease, the results of this research highlight the relevance of projected derivative and method in the analysis and behavior of diverse mathematical models that are defined by differential equations.…”
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A leaky integrate-and-fire model with adaptation for the generation of a spike train by Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora

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MATHEMATICAL (SEIRB) MODEL ANALYSIS FOR EVALUATING CHOLERA CONTROL STRATEGIES IN REMOTE DRY SEASON REGION by Zainab Olabisi DERE, Asimiyu Olalekan OLADAPO

“…Local and Global stability analysis of the model was obtained, also the sensitivity analysis for the targeted parameters was analyzed.  …”
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