The problem of mathematical finite element modeling of inhomogeneous deformable solids using scanning by V. L. Duong

“…A complex of mathematical methods has been developed for modeling the interpretation of scanning raster images by a computer tomograph, which allows for the study of any complicated structures of real deformable solids. …”
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Designing and Modeling Digital Transformation in the Automotive Industry: Leveraging the Fourth Industrial Revolution by Mohammad Saeed Mozafari Mehr, Mohammad Taghi Taghavifard

“…Results To explain the digital transformation model based on the fourth-generation industrial revolution in Iran Khodro company, semi-structured expert interviews were conducted with marketing professors and managers of Iran Khodro company. …”
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Ensemble Streamflow Simulations in a Qinghai–Tibet Plateau Basin Using a Deep Learning Method with Remote Sensing Precipitation Data as Input by Jinqiang Wang, Zhanjie Li, Ling Zhou, Chi Ma, Wenchao Sun

“…Streamflow simulations were carried out using models with diverse structures, including the physically based BTOPMC (Block-wise use of TOPMODEL) and two machine learning models, i.e., Random Forest (RF) and Long Short-Term Memory Neural Networks (LSTM). …”
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Understanding multimorbidity: insights with graphical models by Erika Banzato, Alberto Roverato, Alessandra Buja, Giovanna Boccuzzo

“…This article is a practical guide on the use of graphical models to better understand multimorbidity. It provides a tutorial with a focus on the interpretation of the model structure and of the parameter values. …”
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ALTERNATIVE MODEL OF CARBON CONNECTION OF DIAMOND by Ilya Evgenievich Eremin, Eugenia Aleksandrovna Podolko

“…Results over of design of dielectric descriptions of resilient electronic polarization of the examined material are brought on the basis of an offer physical interpretation of electronic structure.…”
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Early Detection of Alzheimer’s Disease Using Generative Models: A Review of GANs and Diffusion Models in Medical Imaging by Md Minul Alam, Shahram Latifi

“…Neuroimaging, particularly MRI and PET, plays a key role in detection; however, limitations in data availability and the complexity of early structural biomarkers constrain traditional diagnostic approaches. …”
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Temporal–Spatial Partial Differential Equation Modeling of Land Cover Dynamics via Satellite Image Time Series and Sparse Regression by Ming Kang, Zheng Zhang, Zhitao Zhao, Keli Shi, Junfang Zhao, Ping Tang

“…The numerical results show that the model achieves good performance, with mean structural similarity index (SSIM) values exceeding 0.82, mean peak signal-to-noise ratio (PSNR) values ranging from 28.5 to 32.8, and mean mean squared error (MSE) values approximating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>9</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></semantics></math></inline-formula> for low-resolution MODIS images. …”
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Ecolodge Success Model: Antecedents and Consequences by Zohreh Dehdashti Shahrokh, Mohammadreza Karimi Alavijeh, Molood Esfahani

“…Using Seven-step method of Sandelowski and Barroso, the findings of 55 previous studies related to the research objectives were reviewed, aggregated, combined and interpreted. Using the coding method, the number of 100 codes, 24 themes and 8 dimensions were identified and the validity of the coding was confirmed through the Cohen's kappa test, and the success model of the ecolodge: antecedents and consequences was presented and drawn. …”
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Models and the Semantic and Pragmatic Views of Theories by Luiz Henrique de A. Dutra

“… This paper aims at discussing from the point of view of a pragmatic stance the concept of model as an abstract replica. According to this view, scientific models are abstract structures different from set-theoretic models. …”
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Openings: the Act of Modelizing and the Question of Complexity by Emilie Janton

“…Richard Powers’ novels are commonly associated with “systems novels” as Tom LeClair first described them, notably because of the constant compositional use the novelist makes of different extra-textual systems (including various fields such as biology, computer science, or more extensively chaos theory).To what extent do those modelized systems, apparently meant to supply structuring tools to readers keen for interpretive keys, contribute to the novels’ inner complexity, and how does their installation in the texts take place? …”
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Bayesian inference and impact of parameter prior specification in flexible multilevel nonlinear models in the context of infectious disease modeling by Olaiya Mathilde Adéoti, Aliou Diop, Romain Glèlè Kakaï

“…Bayesian flexible multilevel nonlinear models (FMNLMs) are powerful tools to analyze infectious disease data with asymmetric and unbalanced structures, such as varying epidemic stages across countries. …”
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Bayesian Models Are More Sensitive than Frequentist Models in Identifying Differences in Small Datasets Comprising Phonetic Data by Georgios P. Georgiou

“…These results may call into question the findings of a large number of studies incorporating frequentist models. In conclusion, our study supports the assertion that different statistical frameworks can lead to divergent interpretations, especially in cases with small sample sizes and complex data structures like those commonly found in phonetics. …”
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Readability Formulas for Elementary School Texts in Mexican Spanish by Daniel Fajardo-Delgado, Lino Rodriguez-Coayahuitl, María Guadalupe Sánchez-Cervantes, Miguel Ángel Álvarez-Carmona, Ansel Y. Rodríguez-González

“…The first formula was constructed using multiple linear regression, emulating the structure of traditional readability models. The second was derived through genetic programming (GP), a machine learning technique that evolves symbolic expressions based on training data. …”
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Understanding the Complex Morphology of a Coronal Mass Ejection: Multiview Analysis and Numerical Modeling by Cecilia Mac Cormack, Abril Sahade, Angelos Vourlidas, Phillip Hess, Robin Colaninno, Teresa Nieves-Chinchilla

“…The thermodynamic magnetohydrodynamic model, CORHEL-CME, helps reveal the magnetic configuration of this CME and also reveals that the ambient field plays a crucial role in shaping the complex structure of the CME during early evolution. …”
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Neutrosophic Rings for Modeling and Optimizing Cross-Border E-Commerce Digital Marketing Campaigns by Wenlong Zhao

“…A detailed case study simulates marketing performance across three international markets, demonstrating how the ring framework can detect unstable regions in campaign strategies and reveal hidden layers of customer interpretation. The proposed model offers a rigorous and adaptive way to evaluate digital campaigns under the complex, uncertain conditions of global ecommerce. …”
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…However, conventional deep learning is a fully deterministic model that has difficulty reducing data uncertainty while shedding no light on model transparency. …”
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Ion-kinetic modeling of Mercury’s magnetosphere: a reference for BepiColombo’s sixth flyby by Daniel Teubenbacher, Yasuhito Narita, Ali Varsani, Daniel Schmid, Gunter Laky, Willi Exner

“…Notably, the high-latitude plasma mantle exhibits a clear energy dispersion-like feature, with its structure sensitive to solar wind dynamic pressure. …”
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Automated Ultrasound Diagnosis via CLIP-GPT Synergy: A Multimodal Framework for Image Classification and Report Generation by Li Yan, Xiaodong Zhou, Yaotian Wang, Xuan Chang, Qing Li, Gang Han

“…To address the limitations of traditional single-modal deep learning models in cross-modal alignment and structured text generation, this study proposes an intelligent analysis system based on a CLIP-GPT joint framework, integrating contrastive learning with generative pre-training for end-to-end image classification and diagnostic report generation. …”
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PID vs. Model-Based Control for the Double Integrator Plus Dead-Time Model: Noise Attenuation and Robustness Aspects by Mikulas Huba, Pavol Bistak, Damir Vrancic, Mingwei Sun

“…The new control structure is a combination of a generalized state-space controller, interpreted as a higher-order derivative controller, and a predictive disturbance observer that uses the inversion of double integrator dynamics and dead-time models. …”
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A survey on supply chain ontologies by Nikoletta E. Samaridi, Nikitas N. Karanikolas, Michail Papoutsidakis, Evangelos C. Papakitsos, Christos E. Papakitsos

“…In this paper, a survey of the existing ontologies in this field is carried out, with the aim of creating a new ontology of the Supply Chain that will unify its structural elements and lead to the integration of all supply systems. …”
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