An analysis of fractional piecewise derivative models of dengue transmission using deep neural network by Mati ur Rahman, Saira Tabassum, Ali Althobaiti, Waseem, Saad Althobaiti

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DYNAMIC ANALYSIS OF TBM DRIVING SYSTEM IN UNCERTAIN GEOLOGY by ZHU QingDong

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Construction and optimization of quantitative analysis models for pigments in broccoli (Brassica oleracea L. var. italica) based on near-infrared spectroscopy technology by Yijun Zhang, Jianguo Wu, Hao Zhang, Zhiwei Shen, Xiaoyu Bai, Xu Gao, Qiyun Zhu, Yunshuai Huang, Seung-Beom Hong, Zhujun Zhu, Daogen He, Yunxiang Zang

“…However, the ACN model based on SNV / 1st derivative / PLS exhibited relative lower accuracy, with an R2 of 0.790, RMSEC of 1.777 units g−1 DW, RPD of 1.267, suggesting the necessity for preliminary analysis. …”
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Analysis of User Satisfaction Levels for X Mobile Application in Pekanbaru using End-User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) Methods by Febiola Siska Butar Butar, Zarnelly Zarnelly, Muhammad Jazman, Rice Novita, Arif Marsal

“…The End-User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) methods are evaluation tools used to measure user satisfaction with an application system. …”
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Experimental modeling of Electric kinetic barrier (EKB) in Porous Medium, Explain its numerical solution methods and analysis of the relations in the Hydraulic-Electric‌ coupled flow by A.R. Latifi, S. Saiedijam, M. Derakhshandi, M. Heydari

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A case study on the practicability of using linear analysis results in a Bayesian inference model to predict nonlinear responses in performance-based design methods by Shima Taheri, Reza Karami Mohammadi

“…In this paper, the practicability of using linear analysis data in a Bayesian inference model to predict nonlinear responses is evaluated. …”
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A Heavy Metal Ion Water Quality Detection Model Based on Spectral Analysis: New Methods for Enhancing Detection Speed and Visible Spectral Denoising by Bingyang Sun, Shunsheng Yang, Xu Cheng

“…By focusing on indicators of heavy metal ion water pollution, this study aims to achieve the “rapid and accurate detection of water quality using spectral analysis” and emphasizes key technologies such as “visible absorption spectroscopy in photoelectric detection technology and spectral analysis”, “spectral denoising methods”, and “Convolutional Neural Network (CNN) modeling and deployment”. …”
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A study on temperature monitoring method for inverter IGBT based on memory recurrent neural network by Yunhe Liu, Tengfei Guo, Jinda Li, Chunxing Pei, Jianqiang Liu

“…Existing temperature monitoring methods based on the electro-thermal coupling model have limitations, such as ignoring device interactions and high computational complexity. …”
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A multiscale model for espresso brewing: Asymptotic analysis and numerical simulation by Yoana Grudeva, Kevin M. Moroney, Jamie M. Foster

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Image Classification of Multimedia Platforms With Texture Algorithms and Neural Networks by Mauricio Sauzameda-Gonzalez, Josue Alvarez-Borrego, Esperanza Guerra-Rosas

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Meta-analysis of tick-borne and other pathogens: Co-infection or co-detection? That is the question by Stefania Porcelli, Pierre Lucien Deshuillers, Sara Moutailler, Anne-Claire Lagrée

“…The review analyzed 426 papers and identified only 20 with direct evidence of co-infection in humans and animals, highlighting the need for accurate terminology and proposing definitions for co-infection, co-exposure and co-detection. Current diagnostic methods - including serology and molecular techniques - have limitations in accurately identifying real co-infections, often leading to misinterpretation. …”
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The Development of Fractional Black–Scholes Model Solution Using the Daftardar-Gejji Laplace Method for Determining Rainfall Index-Based Agricultural Insurance Premiums by Astrid Sulistya Azahra, Muhamad Deni Johansyah, Sukono

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Review on multi-scale mechanics fundamentals and numerical methods for electronics packaging interconnect materials by Zhenrui Zhou, Fengyong Lang, Vincentius Farlim, Zhongqing Zhang, Shiyang Li, Ruipeng Dong

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Stability-Preserving Model Reduction and Interpolation for Vibration Optimization in Beam-like Structures by István Gozse, Róbert Szabolcsi

“…High-fidelity finite element models offer precise vibration analysis. However, their use in iterative optimization is computationally demanding. …”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

Subjects: “…forward–backward sweep method…”
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Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin by Youngjae Jeon, Geomji Choi, Kwanghyun Ahn, Kang-Heon Lee, Seongmin Chang

“…We further enhance the computational efficiency using the model reduction technique. To validate the method’s accuracy and efficiency, we compare the analysis results and computation time using a numerical example of the control rod drive mechanism. …”
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval

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A Finite Element Analysis of a Lithium-Ion Battery Cell Under Abuse Conditions by Aljon Kociu, Daniele Barbani, Luca Pugi, Lorenzo Berzi, Niccolò Baldanzini, Massimo Delogu

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Quality evaluation and price discrimination of jasmine-scented tea by Zhang Jun, Gong Shuying, Tang Desong, Zhang Yingbin, Chen Meili

“…While concentrations and contents of caffeine, gallic acid (GA) and the composition of catechins including gallocatechin (GC), epigallocatechin (EGC), catechin (C), epicatechin (EC), epigallocatechin gallate (EGCG), gallocatechin gallate (GCG), epicatechin gallate (ECG), catechin gallate (CG) were determined by high performance liquid chromatography (HPLC). Factor analysis and discriminant analysis were carried out based on the 32 variables using SPSS 16.0 for Windows.The models for quality evaluation and price discrimination of jasmine-scented tea samples were established by factor and discriminant analysis based on the data obtained from brewing and extracting methods. …”
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The method to develop classifi ers based on geometrical interpretation of data structure by М. N. Nessonova

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