A generalized multi-depot vehicle routing problem with replenishment based on LocalSolver by Ying Zhang, Mingyao Qi, Lixin Miao, Guotao Wu

“…In this paper, we consider the multi depot heterogeneous vehicle routing problem with time windows in which vehicles may be replenished along their trips. Using the modeling technique in a new-generation solver, we construct a novel formulation considering a rich series of constraint conditions and objective functions. …”
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Analysis of Adaptation of Students Studying under the Flipped Classroom Model to the Conditions of Distance Learning by G. R. Chaynikova

“…However, a comparison of data obtained on the discipline “English language”, where training was initially built on the flipped classroom model, and data on distance learning in general allows the author to conclude that the technology of blended learning makes it possible to reduce a number of difficulties, in particular, technical difficulties when switching to distance learning, and the indicator of satisfaction with the results of their learning activities shows that the flipped classroom model allows students to more fully realize their abilities and achieve the desired results not only in the conditions of blended learning, but also when switching to distance one.Conclusion. …”
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Generalizing Robust Control Barrier Functions From a Controller Design Perspective by Anil Alan, Tamas G. Molnar, Aaron D. Ames, Gabor Orosz

“…Main results are conditions for robust safety through generalized RCBFs. …”
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UHF Partial Discharge Localization Methodology Based on Generalized Regression Neural Network by Qichen YU, Lingen LUO, Fan WU, Gehao SHENG, Xiuchen JIANG

“…Partial discharge (PD) detection and localization is an important means for condition monitoring and diagnosis of power equipment. …”
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About Modeling the Excitation Conditions of Cherenkov and Diffraction Radiations in Periodic Metal-dielectric Structures by G.S. Vorobjov, M.V. Petrovskyi, A.I. Ruban, D.Y. Doroshenko

“…General procedure for modeling the excitation conditions of Cherenkov and diffraction radiations in periodic metal-dielectric structures is described. …”
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Comparison of Prediction Models for Sonic Boom Ground Signatures Under Realistic Flight Conditions by Jacob Jäschke, Samuele Graziani, Francesco Petrosino, Antimo Glorioso, Volker Gollnick

“…However, significant deviations are noted under realistic atmospheric conditions, highlighting limitations in the simplified model’s accuracy. …”
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Integrated modeling of boron powder injection for real-time plasma-facing component conditioning by F. Effenberg, K. Schmid, F. Nespoli, A. Bortolon, Y. Feng, B.A. Grierson, J.D. Lore, R. Maingi, D.L. Rudakov

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MODEL OF ORGANIZATIONAL AND INFORMATION SUPPORT OF SMART CITY STRATEGY DEVELOPMENT IN THE CONDITIONS OF DIGITAL ECONOMY by Tetiana Momot, Yevgen Muraev

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Research on Feed Forward Adaptive-generalized Model Predictive Control for High-speed Train Automatic Operation by LUO Yuan, YI Jie, BAI Jinlei, ZHANG Zhengfang

“…In view of the characteristics of nonlinearity and time-variability of high-speed train model parameters, this paper proposes a feed forward adaptive-generalized model predictive control (FA-GPC) method for dynamic optimization control of the ATO system along with a constrained multi-object predictive controller. …”
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Modeling the impact of COVID-19 on the tourism sector in Mauritius: A dynamic stochastic general equilibrium analysis by Indranarain Ramlall

“…This paper develops a Dynamic Stochastic General Equilibrium model to gauge on the detrimental effects of COVID-19 on the tourism sector and consequently on the macroeconomy of Mauritius. …”
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feasible generalized Liu estimator, least trimmed squares estimator, multicollinearity, outlier, semiparametric regression models by Weili Kong, Yuanfu Shao

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Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate by Shouying Huang, Jifa Jiang

“…In this paper, we develop and analyze an SIS epidemic model with a general nonlinear incidence rate, as well as degree-dependent birth and natural death, on heterogeneous networks. …”
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Milling Tool Wear State Recognition by Vibration Signal Using a Stacked Generalization Ensemble Model by Yang Hui, Xuesong Mei, Gedong Jiang, Tao Tao, Changyu Pei, Ziwei Ma

“…To improve this problem, this paper explores the use of vibration signals as sensing approach for recognizing tool wear states during milling operation by using the stacked generalization (SG) ensemble model. In this study, vibration signals collected during the milling process are analyzed through the time domain, frequency domain, and time-frequency domain to extract signal features. …”
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Comparison and Optimization of Generalized Stamping Machine Fault Diagnosis Models Using Various Transfer Learning Methodologies by Po-Wen Hwang, Yuan-Jen Chang, Hsieh-Chih Tsai, Yu-Ta Tu, Hung-Pin Yang

“…This research addresses this challenge by developing a generalized fault diagnosis model applicable across multiple stamping machine types. …”
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A calibration framework toward model generalization for bacteria concentration estimation in water resource recovery facilities by Fahad Aljehani, Ibrahima N’Doye, Pei-Ying Hong, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati

“…Although few studies have been proposed to predict bacterial concentrations using data-driven models, generalizing these models to unseen data from different WRRFs remains challenging. …”
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The Pattern of Return Changes based on Profit Forecast Changes with a Behavioral Finance Approach in the Framework of the Role of Anchor bias by Yazdan Gudarzi Farahani, Mehdi Sadeghi, Zuleykha Morsali Arzanq, Ebrahim Abbasi

“…In this regard, the return was modeled based on changes in profit forecast using the autocorrelated moving average (ARMA) model, and the fluctuations of this return were modeled using the generalized autoregressive conditional heteroscedastic (GARCH). …”
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Boundary Value Problems on a Star Thermal Graph and their Solutions by L.A. Alexeyeva, A.N. Dadayeva, D.A. Prikazchikov, N.Zh. Ainakeyeva

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Change of primary health care service provider model in Vantaa: the impact on mortality and causes of death among older adults – a register-based follow-up study by Aina Enckell, Hanna-Maria Roitto, Hannu Kautiainen, Mika T. Lehto, Kaisu H. Pitkälä, Timo Kauppila, Merja K. Laine

“…To address this, the city of Vantaa, Finland, transitioned from a named general practitioner (GP) model to a restricted-list GP model in 2011 to increase access to named GPs for the most vulnerable population. …”
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An Improved General Five-Component Scattering Power Decomposition Method by Yu Wang, Daqing Ge, Bin Liu, Weidong Yu, Chunle Wang

“…The resulting transformed coherency matrices are then subjected to a five-component decomposition framework, enhanced with four refined volume scattering models. Additionally, we have reformulated the branch conditions to facilitate more precise interpretations of scattering mechanisms. …”
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Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured by Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim

“…To overcome these challenges, synthetic data generated through simulations have been employed, although discrepancies between synthetic and real data—stemming from factors such as background clutter and target signature differences—can degrade model performance. In this study, we introduce a novel framework, soft segmented randomization, designed to reduce domain discrepancy and improve the generalization of synthetic aperture radar automatic target recognition models. …”
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