A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the data collection stage, the frequency sweep method is used to obtain the frequency response of the closed-loop impedance model under enough operating conditions. In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. …”
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Investigation on Physicomechanical Properties and Constitutive Model of Tuff in Mila Mountain Tunnel under Dry and Saturated Conditions by Zhihao He, Xiangjun Pei, Shenghua Cui, Wentai Sun, Luguang Luo, Chengruiwei He

“…It was demonstrated by the experimental results consistent with theoretical results that the model can be employed to express the constitutive behavior of tuff in Mila Mountain tunnel under dry and saturation conditions. …”
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An integrated model of multiple-condition ChIP-Seq data reveals predeterminants of Cdx2 binding. by Shaun Mahony, Matthew D Edwards, Esteban O Mazzoni, Richard I Sherwood, Akshay Kakumanu, Carolyn A Morrison, Hynek Wichterle, David K Gifford

“…We demonstrate that our framework enables the simultaneous modeling of sparse condition-specific binding changes, sequence dependence, and replicate-specific noise sources. …”
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A permeability model for hot cracking susceptibility prediction across near-equilibrium to rapid solidification conditions by Zhihang Zhang, Laishan Yang, Han Wang, Fang Han, Jing Yang, Xiaoqing Zhu, Qinghua Li, Chengkun Li, Chengcheng Wang, Zhibo Dong, Lei Wang, Yuanming Liu

“…The widely used permeability model is the Carman–Kozeny model, which is applicable under near-equilibrium solidification conditions when the secondary dendritic spacing is well-defined. …”
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Modeling Fatigue Data of Complex Metallic Alloys Using a Generalized Student’s <i>t</i>-Birnbaum–Saunders Family of Lifetime Models: A Comparative Study with Applications by Farouq Mohammad A. Alam, Fouad Khalawi, Abdulkader Monier Daghistani

“…Understanding the statistical behavior of fatigue failure data is essential for designing alloys that endure extreme environmental conditions. This study introduces a generalization of the Student’s <i>t</i>-Birnbaum–Saunders distribution to improve the modeling of fatigue life data, which often exhibit heavy tails and are common in advanced alloy systems. …”
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Projection and prediction of the annual and seasonal future reference evapotranspiration time scales in the West of Iran under RCP emission scenarios by Shadieh Heydari Tasheh Kaboud, Younes Khoshkhoo

“…The FAO-Penman-Montieth method was applied to calculating reference evapotranspiration and the CanESM2 general circulation model and SDSM downscaling method were used to simulating future climate conditions under the climatic scenarios. …”
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Disturbance Robust Generalized Predictive Control Applied to an EV Charger Grid Converter by Jefferson S. Costa, Angelo Lunard, Luis F. Normandia Lourenco, Lucas Rodrigues, Alfeu J. Sguarezi Filho

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Model-Based Offline Reinforcement Learning for AUV Path-Following Under Unknown Ocean Currents with Limited Data by Xinmao Li, Lingbo Geng, Kaizhou Liu, Yifeng Zhao

“…These models, constructed by improved conditional neural processes, enable accurate long-term motion state predictions within the data distribution. …”
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Determinant factors of the longitudinal pulse pressure among hypertensive patients treated at Assosa general hospital, Western Ethiopia by Maru Zewdu Kassie, Haymanot Berelie Berehan, Seyifemickael Amare Yilema, Berhanie Addis Ayele

“…The analysis included exploratory data analysis and the application of a linear mixed model. This model was used to analyze the longitudinally measured pulse pressure in patients with hypertension. …”
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Conditions de vie et expérience doctorale en France by Marion Tavant, Julien Berthaud, Jean-François Giret

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Effects of land use/cover change on propagation dynamics from meteorological to soil moisture drought considering nonstationarity by Meng Dai, Ping Feng, Jianzhu Li, Xiaogang Shi, Hanye Wang

“…To this end, it is exceedingly meaningful to explore the propagation from MD to SMD under nonstationary conditions. Taking three regions of Luanhe River Basin (LRB) as the subject of study, the generalized additive models for location, scale and shape (GAMLSS) model was utilized to construct a nonstationary drought index. …”
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Political Imperatives of the Economic Integration of Russia and Belarus: the General Situation and Specifics of the First Quarter of 2021 by V. A. Shamakhov, N. M. Mezhevich

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Random Generalized Additive Logistic Forest: A Novel Ensemble Method for Robust Binary Classification by Oyebayo Ridwan Olaniran, Ali Rashash R. Alzahrani, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani

“…Ensemble methods have proven highly effective in enhancing predictive performance by combining multiple models. We introduce a novel ensemble approach, the Random Generalized Additive Logistic Forest (RGALF), which integrates generalized additive models (GAMs) within a random forest framework to improve binary classification tasks. …”
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The effect of collinearity between observed and model derived training variables on estuarine algal species distribution models by Dante M.L. Horemans, Jennifer C. Lin, Marjorie A.M. Friedrichs, Pierre St-Laurent, Raleigh R. Hood, Christopher W. Brown

“…Forecasts of organism distributions in time and space are needed to mitigate risks associated with changes in environmental conditions. These forecasts are often generated using correlative species distribution models (SDMs) that relate environmental variables to species presence or abundance. …”
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On Solution Set Associated with a Class of Multiple Objective Control Models by Savin Treanţă, Omar Mutab Alsalami

“…In this paper, necessary and sufficient efficiency conditions in new multi-cost variational models are formulated and proved. …”
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H-AMR FORGE’d in FIRE. I. Magnetic State Transitions, Jet Launching, and Radiative Emission in Super-Eddington, Highly Magnetized Quasar Disks Formed from Cosmological Initial Cond... by Nicholas Kaaz, Matthew Liska, Alexander Tchekhovskoy, Philip F. Hopkins, Jonatan Jacquemin-Ide

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Assessment of Dynamic States of Railway Vehicles: Structural Mathematical Modeling by R. S. Bolshakov, V. E. Gozbenko, Quang Truc Vuong

“…The generated mathematical model provides for assessment, monitoring and control of the dynamic state of the vehicle under conditions of kinematic disturbances. …”
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THEORETICAL AND METHODOLOGICAL BASIS OF CONSUMER BEHAVIOR UNDER MODERN CONDITIONS by Valentyna Litynska

“…The study of the scientific approaches of foreign scientists to the study of consumer behavior made it possible to develop models of consumer behavior that most accurately predict consumer behavior in modern conditions, since today the purchasing power of the population has significantly decreased. …”
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A Structural Based Thermal Model Description for Vertical SiC Power MOSFETs under Fault Conditions by Andreas Maerz, Teresa Bertelshofer, Mark-M. Bakran

“…The thermal model substitutes destructive tests of a device for an individual set of boundary conditions of an occurring fault event. …”
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Contextualizing GCM Biases in Low‐Cloud Coverage: The Role of Large‐Scale Conditions by Hamish Lewis, Gilles Bellon

“…Abstract Large biases in subtropical marine low‐cloud cover (LCC) simulated by general circulation models (GCMs) are often attributed to their low‐cloud macrophysical parameterizations. …”
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