MAIN REGULARITIES OF FAULTING IN LITHOSPHERE AND THEIR APPLICATION (BASED ON PHYSICAL MODELLING RESULTS) by S. A. Bornyakov, K. Zh. Seminsky, V. Yu. Buddo, A. I. Miroshnichenko, A. V. Cheremnykh, A. S. Cheremnykh, A. A. Tarasova

“…The article presents the main results of faulting modelling with the use of non-transparent elasto-viscous plastic and optically active models. …”
Get full text

LARE: Latent augmentation using regional embedding with vision-language model by Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto

“…However, because these VLMs embed images as a single point in a unified embedding space, they do not fully exploit the diverse domain performance of large-scale vision-language models. …”
Get full text

Experimental and Numerical Modelling of Nonlinear Flow Behavior in Single Fractured Granite by Xiaopeng Su, Lei Zhou, Honglian Li, Binwei Xia, Zhonghui Shen, Yiyu Lu

“…A modified smooth parallel-plate model to describe flow friction in fractures was developed, which takes fracture contact and void space into account. …”
Get full text

Monotone iterations method for fractional diffusion equations by M. Krasnoshchok

“…In recent years, there has been a growing interest on non-local models because of their relevance in many practical applications. …”
Get full text

Endpoint Distribution Modeling-Based Capture Algorithm for Interfering Multi-Target by Xiangliang Zhang, Junlin Li, Pengjie Li, Fang Si, Xiangzhi Liu, Yu Gu, Shuguang Meng, Jibin Yin, Tao Liu

“…Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. …”
Get full text

A time-dependent three-dimensional dayside magnetopause model based on quasi-elastodynamic theory by Y. Gu, Y. Gu, Y. Gu, Y. Wang, Y. Wang, F. Wei, F. Wei, X. Feng, X. Feng, A. Samsonov, X. Song, B. Wang, B. Wang, P. Zuo, P. Zuo, C. Jiang, C. Jiang, Y. Chen, Y. Chen, X. Xu, Z. Zhou

“…While numerous magnetopause models have been developed over past decades, most are time-independent, limiting their ability to elucidate the dynamic movement of the magnetopause under varying solar wind conditions. …”
Get full text

Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data by Qian Pan, Chao Xiong, ShunZu Gao, Zhou Chen, Artem Smirnov, Chunyu Xu, Yuyang Huang

Get full text

Perturbational Decomposition Analysis for Quantum Ising Model with Weak Transverse Fields by Youning Li, Junfeng Huang, Chao Zhang, Jun Li

“…Through systematic numerical exploration, we characterize parameter regimes and evolution time windows where the decomposition achieves measurable improvements over conventional Trotter decomposition methods. The developed perturbational approach and its characterized parameter space may provide practical guidance for choosing appropriate simulation strategies in different parameter regimes of the one-dimensional Ising model.…”
Get full text

Nature-like model of teacher training for the implementation of ethno-cultural education by G. V. Bolbas

“…The article presents the results of scientific and pedagogical research, the purpose of which was to develop and substantiate the pedagogical model of teacher training for the implementation of ethno-cultural education. …”
Get full text

New operational relations for mathematical models of local nonequilibrium heat transfer by E. M. Kartashov

“…Operational calculus was developed for mathematical models of local nonequilibrium heat transfer in terms of the theory of unsteady-state heat conduction for hyperbolic equations (wave equations). …”
Get full text

A general approach for determining applicability domain of machine learning models by Lane E. Schultz, Yiqi Wang, Ryan Jacobs, Dane Morgan

“…In this work, we develop a new and general approach of assessing model domain and demonstrate that our approach provides accurate and meaningful domain designation across multiple model types and material property data sets. …”
Get full text

Modeling Economy of Information Security of Business Entity Based on Simplex-Method by V. A. Sizov, A. A. Drozhkin

“…To resolve these tasks different mathematic models can be used, such as methods of linear programming. …”
Get full text

A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs by Jan Kašpar, Francesco Mauro, Marco Biot, Giovanni Rognoni, Giada Kyaw Oo D’Amore

“…Moreover, in the available literature, there is a lack of guidelines about the design of integrated EGCSs. This study aims to develop an ad hoc optimization methodology that uses combined Computational Fluid Dynamics (CFD)–Finite Element Method (FEM) simulations, surrogate models, and Genetic Algorithms to optimize the acoustic properties of EGCSs while considering the limits imposed by the efficiency of chemical reactions for the abatement of NO_x and SO_x. …”
Get full text

The influence of density models on wormhole formation in Finsler–Barthel–Randers geometry by B. R. Yashwanth, S. K. Narasimhamurthy, J. Praveen, Manjunath Malligawad

“…By employing osculating Riemannian space approaches, we develop wormhole models under non-commutative geometry and power-law energy density distributions. …”
Get full text

Predictive Models of Current, Voltage, and Power Losses on Electric Transmission Lines by O. M. Bamigbola, M. M. Ali, K. O. Awodele

“…The predictive models evolved as explicit expressions of the space variable and they are in close agreement with empirical data and reality.…”
Get full text

A multi-item signal detection theory model for eyewitness identification by Yueran Yang, Janice L. Burke, Justice Healy

“…The model also visualizes the joint distributions in a multivariate decision space, which allows for the incorporation of all eyewitness responses, including suspect identifications, filler identifications, and rejections. …”
Get full text

Bond Graph Modeling and Simulation of Hybrid Piezo-Flexural-Hydraulic Actuator by Rudraksha Kelkar, Mohith Santhya, Mithun Kanchan, Omkar S. Powar

“…A domain-independent bond graph model for the proposed hybrid actuator is developed. …”
Get full text

A Novel Model for Forecasting Geomagnetic Indices Using Machine Learning by Guram Kervalishvili, Ingo Michaelis, Monika Korte, Jan Rauberg, Jürgen Matzka

“…Abstract Widely used geomagnetic activity indices like Kp or Dst, derived from the combined data from several observatories distributed worldwide, are crucial to forecasting since solar‐driven geomagnetic activity can significantly affect technology and human activities on Earth and in near‐Earth space. We developed a new model to forecast geomagnetic indices by incorporating predicted data from individual observatories. …”
Get full text

Optimized Intelligent Localization Through Mathematical Modeling and Crow Search Algorithms by Tamer Ramadan Badawy, Nesreen I. Ziedan

“…The proposed algorithm is designed to enhance localization accuracy by integrating mathematical modeling with the Crow Search Algorithm (CSA). The objective is to identify the most probable position within a designated search space. …”
Get full text

A Novel Software Simulator Model Based on Active Hybrid Architecture by Amr AbdElHamid, Peng Zong

“…It exploits the remarkable computational power of MATLAB as a backbone aircraft model, and such mathematical model provides realistic dynamics to the trainee. …”
Get full text