Weak form shallow ice approximation models with an improved time-step restriction by Igor Tominec, Josefin Ahlkrona

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Soil moisture sensor for agricultural applications inspired from state of art study of surfaces scattering models & semi-empirical soil moisture models by Amit Kumar Shakya, Ayushman Ramola, Akhilesh Kandwal, Anurag Vidyarthi

Subjects: “…Kirchhoff approximation model…”
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Variability of turbulent mixing observed by high-resolution Acoustic Doppler Current Profilers in the deep South China Sea by Hao Xun, Chun Zhou, Chun Zhou, Chun Zhou, Xin Xiao, Shoude Guan, Shoude Guan, Shoude Guan, Xiaodong Huang, Xiaodong Huang, Xiaodong Huang, Tangdong Qu, Wei Zhao, Wei Zhao, Wei Zhao, Jiwei Tian, Jiwei Tian, Jiwei Tian

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Quantum Confinement in Cadmium Selenide Multilayer Thin Films Using Physical Vapour Deposition Method by M. Melvin David Kumar, Suganthi Devadason, S. Rajesh

“…Experimentally measured band-gap shifts with respect to the bulk value for quantum dot thin films are compared with the predictions of the effective mass approximation model (i.e., Brus model) and Quantum mechanical model. …”
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Modelling of Green function in a rectangular room based upon the geometrical-filtration model by R. Marczuk, L. Majkut

“…Results of room impulse response approximation model are compared with analytical solution for rectangular room.…”
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Multitemporal Soil Moisture Retrieval over Bare Agricultural Areas by Means of Alpha Model with Multisensor SAR Data by Xiang Zhang, Xinming Tang, Xiaoming Gao, Hui Zhao

“…The objective of this research is to optimize the Alpha approximation model for soil moisture retrieval using multitemporal SAR data. …”
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An Analytical Approach for Facility Location for Truck Platooning—A Case Study of an Unmanned Following Truck Platooning System in Japan by Daisuke Watanabe, Takeshi Kenmochi, Keiju Sasa

“…In this study, we introduce the current status of truck platooning in Japan and present the optimal location model for truck platooning using the continuous approximation model with a numerical experiment, considering the case in Japan. …”
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Parametric design and multiple objective intelligent optimization of marine nuclear turbine aerothermodynamics under variable conditions by Lei Zhang, Guobing Chen, Yu-Ang Shi, LuoTao Xie

“…By combining the blade parameterized reconstruction method with a Kriging approximation model and a multi-objective genetic algorithm (GA), we developed an optimized system for thermodynamic performance in turbines. …”
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SIR Coverage Analysis in Multi-Cell Downlink Systems With Spatially Correlated Queues by Xiaozhou Zhang, Howard H. Yang, Xiaofang Sun, Gang Zhu, Tony Q. S. Quek, Zhangdui Zhong

“…To model the deployment of the BSs precisely, the related parameters in the approximated model are fitted. Using tools from stochastic geometry and queueing theory, we derive the SIR coverage probability in the steady state. …”
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On models of ground vibrations in strong earthquakes by H. R. Zainulabidova, U. Dz. Toturbieva, A. M. Jamaludinov

“…The seismic impact model, as well as the approximating modeling function, should be determined by the degree of responsibility of the building.…”
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Idealizing Rough Topological Structures Generated by Several Types of Maximal Neighborhoods and Exploring Their Applications by Mona Hosny

“…Afterwards, these topologies are employed to conduct more in-depth investigations on broadened rough sets. The proposed approximate models are particularly significant as applied to rough sets because they diminish vagueness and uncertainty compared to prior models. …”
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Markov-Chain Perturbation and Approximation Bounds in Stochastic Biochemical Kinetics by Alexander Y. Mitrophanov

“…We begin by discussing the general problem of approximate modeling in stochastic chemical kinetics. We then briefly review some essential mathematical results pertaining to perturbation bounds for continuous-time Markov chains, emphasizing the relationship between robustness under perturbations and the rate of exponential convergence to the stationary distribution. …”
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Hybrid Denoising Algorithm for Architectural Point Clouds Acquired with SLAM Systems by Antonella Ambrosino, Alessandro Di Benedetto, Margherita Fiani

“…Implemented in a MATLAB environment, the algorithm utilizes an approximate modeling of a reference surface with Poisson’s model and a statistical analysis of the distances between the original point cloud and the reconstructed surface. …”
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Sustainable Cultivation of <i>Galdieria phlegrea</i> in an IoT-Integrated Twin-Layer Photobioreactor: System Design, Growth Dynamics, and Isotopic Perspective by Maria Rosa di Cicco, Simona Altieri, Antonio Spagnuolo, Claudia Ciniglia, Chiara Germinario, Silvio Bove, Antonio Masiello, Carmela Vetromile, Iolanda Galante, Carmine Lubritto

“…Mathematical approximation modelling identified the optimal growth conditions across five experiments. …”
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The methodology of food design. Part 1. The individual aspect by A. Yu. Prosekov

“…Taking into consideration all shortcomings, an approximate model for selecting a personalized diet is proposed. …”
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Development of Solar Drying Model for Selected Cambodian Fish Species by Anna Hubackova, Iva Kucerova, Rithy Chrun, Petra Chaloupkova, Jan Banout

“…Based on coefficient of determination (R2), chi-square (χ2) test, and root-mean-square error (RMSE), the most suitable models describing natural convection solar drying kinetics were Logarithmic model, Diffusion approximate model, and Two-term model for climbing perch and Nile tilapia, swamp eel and walking catfish and Channa fish, respectively. …”
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Developing a Topographic Model to Predict the Northern Hardwood Forest Type within Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern A... by Andrew Evans, Richard Odom, Lynn Resler, W. Mark Ford, Steve Prisley

“…Our elevation + TEI model was the best approximating model (the lowest AICc score) for predicting northern hardwood forest type correctly classifying approximately 78% of our sample points. …”
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Electromagnetic dynamic stability analysis of power electronics-dominated systems using eigenstructure-preserved LTP Theory by Jiabing Hu, Zeren Guo, Jianhang Zhu, Jürgen Kurths, Yunhe Hou, Buyang Du, Zefei Wu, Guojie Zhao, Yunfeng Liu, Kai Xin, Jianbo Guo, Shijie Cheng

“…To address these critical stability issues, now a global concern, the prevalent method relies on linear time-invariant approximate modeling, i.e., the eigenstructure-reconfiguration framework. …”
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Accuracy of anterior cranial base surfaces acquired from computed tomography imaging by Maurus Kurt Jaeggi, Mohammed Ghamri, Konstantinos Dritsas, Simos Psomiadis, Carlalberta Verna, Demetrios Halazonetis, Nikolaos Gkantidis

“…The primary metric used was the mean absolute distance (MAD) between the 3D surface-approximated models. Results demonstrated high consistency across repeated segmentations, with only minor differences observed (< 0.09 mm). …”
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