A New Approach to Regional Traffic Estimation for Intelligent Transport Systems by Minghe Yu, Jianhua Feng, Tianmiao Zhang, Tiancheng Zhang

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Table Extraction with Table Data Using VGG-19 Deep Learning Model by Muhammad Zahid Iqbal, Nitish Garg, Saad Bin Ahmed

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A Survey on Machine Learning Techniques for Head-Related Transfer Function Individualization by Davide Fantini, Michele Geronazzo, Federico Avanzini, Stavros Ntalampiras

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Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details by Andreas Fieselmann, Markus Kowarschik, Arundhuti Ganguly, Joachim Hornegger, Rebecca Fahrig

“…Our description of the practical computer implementation is focused on the most frequently employed algebraic deconvolution methods based on the singular value decomposition. …”
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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

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Application of information technologies in teaching of mathematics in Vilnius College in higher education by Jovita Saldauskienė, Vytautas Virkutis

“…There were made the following conclusions: Mathematics teaching module in college in higher education is expedient to use emphasizing on practically applied subject. Mathematics computer programs are recommended as a more effective teaching method. …”
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On the birthday problem: some generalizations and applications by P. N. Rathie, P. Zörnig

“…We discuss the unimodality of the corresponding exact probability distribution and express the moments and generating functions by means of confluent hypergeometric functions U(−;−;−) which are computable using the software Mathematica. The distribution is generalized in two possible directions, one of them consists in considering a random graph with a single attracting center. …”
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Numerical Solution of the Heat Transfer Equation Coupled with the Darcy Flow Using the Finite Element Method by Mohammed Hirpho

“…The essential code development in this study was done using MATLAB computer simulation.…”
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Microbiome in pancreatic cancer – What is new in 2024? by E. Hohmann, C. Ammer-Herrmenau, C. Schulz, S. Sirtl

“…With the introduction of modern sequencing methods and improvements in computational possibilities, microbiome research is an improving and promising field with a link to many possible diseases. …”
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Parameter estimation in a structured erythropoiesis model by Azmy S. Ackleh, Jeremy J. Thibodeaux

“…Numerical results for estimating the growthrate of precursor cells as a function of the erythropoietinconcentration and the decay rate of erythropoietin as a function ofthe total number of precursor cells from computationally generateddata are provided. Standard errors for such parameters are alsogiven.…”
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Reduced Chemical Kinetic Model for Titan Entries by Romain Savajano, Raffaello Sobbia, Michele Gaffuri, Pénélope Leyland

“…It has been verified against three key elements: a sensitivity analysis, the equilibrium chemical composition using shock tube simulations in CHEMKIN, and the results of computational fluid dynamics (CFDs) simulations.…”
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Frequency Properties Research of Elevator Drive System with Direct Torque Control-Pulse with Modulation by A. S. Koval, A. V. Shvayakov

“…Logarithmic frequency characteristics are computed. Damping properties of elevator drive system are estimated.…”
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A Case of Multiple Intratumoral Hemorrhage and Rupture of Hepatocellular Carcinoma after Starting Lenvatinib by Katsutoshi Ishihara

“…Conjunctival icterus and conjunctival pallor were observed. Computed tomography showed high density areas in his tumors which were suggestive of intratumoral hemorrhage and tumor rupture. …”
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Choice of Measurement Locations of Nonlinear Structures Using Proper Orthogonal Modes and Effective Independence Distribution Vector by T. G. Ritto

“…The response of the computational model (or experimental data) is used to construct the proper orthogonal modes applying the proper orthogonal decomposition (POD), and the effective independence distribution vector (EIDV) procedure is employed to eliminate, iteratively, locations that contribute less for the independence of the target proper orthogonal modes.…”
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Decreased Volume of the Cerebral Ventricles on CT Images in Gilles de la Tourette’s Syndrome by Lisbeth Regeur, L. Korbo, N. Bang, B. Pakkenberg

“…The aim of the present study was to estimate the volume of the ventricular system comprising lateral plus third ventricles in patients with Gilles de la Tourette's syndrome on computed tomographic (CT) scannings using unbiased stereological principles and to compare that volume with a control group. …”
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On the Temperature Indices of Molecular Structures of Some Networks by Akbar Jahanbani, Rana Khoeilar, Murat Cancan

“…Using molecular structure characterization and edge segmentation technique, we computed the general temperature topological indices for OTIS networks.…”
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A Comprehensive Forward Model for Imaging under Irregular Terrain Using RF Tomography by Lorenzo Lo Monte, Francesco Soldovieri, Danilo Erricolo, Antonios Giannopoulos, Michael C. Wicks

“…Forward scattering models are presented, and a generalized method for computing numerical dyadic Green’s functions is detailed. …”
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Elliptic Search of Self Healing Restoration on ATM Networks by Li Shiju Mei Liubo Dai Wenqi

“…Based on analyses of self healing restoration,this paper presents the elliptic algorithm which reduces search fields of useless messages,and simulates the process of selfhealing restoration by computes Results show that the search region of ellipse is less than the region of mono and dual direction,the effects on nodes number are small and the search area can be rational set The cost is that it must be to construct the table of minimal search region in every node…”
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Estimating the Gerber-Shiu Function in a Compound Poisson Risk Model with Stochastic Premium Income by Yunyun Wang, Wenguang Yu, Yujuan Huang

“…We show that the estimator is easily computed and has a fast convergence rate. Some simulation examples are illustrated to show that the estimation has a good performance when the sample size is finite.…”
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Pol-CCES based modulation recognition method under impulsive noise by Jiang’an DAI, Shengyang LUAN, Minglong ZHAO, Zhaojun ZHANG, Tianshuang QIU

“…To realize signal classification in impulsive noise environment， a modulation recognition scheme based on polished cyclic correntropy spectrum and shallow residual network was proposed.The proposed scheme not only has low computational complexity but also shows robustness to impulsive noise.Simulation results demonstrate the proposed solution’s superior performance under impulsive noise， even when the generalized signal-to-noise ratio is very low.…”
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