An exchange rate model where the fundamentals follow a jump-diffusion process by Jean René Cupidon, Judex Hyppolite

“…Therefore, it is important to take into account the presence of these jumps in exchange rate modeling in general. However, even the simplest jump diffusion model introduces some analytical difficulty in terms of finding a solution to the model. …”
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Long Time Decay Rate to a Bipolar Quantum Drift-Diffusion Model by Yingjie Zhu, Bo Liang, Xiting Peng

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Global Asymptotic Stability of 3-Species Mutualism Models with Diffusion and Delay Effects by Chang-you Wang, Shu Wang, Xiang-ping Yan

“…In this paper, the Lotka-Volterra 3-species mutualism models with diffusion and delay effects is investigated. …”
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DISCO: Efficient Diffusion Solver for large-scale Combinatorial Optimization problems by Hang Zhao, Kexiong Yu, Yuhang Huang, Renjiao Yi, Chenyang Zhu, Kai Xu

“…While some research has adopted diffusion models, these methods sample solutions indiscriminately from the entire NP-complete solution space with time-consuming denoising processes, limiting scalability for large-scale problems. …”
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Analysis of stochastic SEIR(S) models with random total populations and variable diffusion rates by Henri Schurz, Taniya Chandrasena, Shanika Chandrasena

“…A stochastic SEIR(S) model with random total population, overall saturation constant $K>0$ and general, local Lipschitz-continuous diffusion rates is presented. …”
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Vehicle Trajectory Prediction Using Residual Diffusion Model Based on Image Information by Wei He, Haoxuan Li, Tao Wang, Nan Wang

“…In order to better predict vehicle trajectories, we propose a new residual diffusion model to infer the joint distribution of future multi-vehicle trajectories. …”
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Application of Generalized Finite Difference Method and Radial Basis Function Neural Networks in Solving Inverse Problems of Surface Anomalous Diffusion by Luchuan Shi, Qiang Xi

“…In this study, a new hybrid method based on the generalized finite difference method (GFDM) and radial basis function (RBF) neural network technologies is developed to solve the inverse problems of surface anomalous diffusion. …”
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Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification by Jiachen Li, Xiaojin Gong

“…Simultaneously, feedback from the diffusion model is back-propagated through the conditioning scheme to the Re-ID model, effectively improving the generalization capability of Re-ID features. …”
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Multi channel fusion diffusion models for brain tumor MRI data augmentation by Cuihua Zuo, Junhao Xue, Cao Yuan

“…To address the challenge of imbalanced brain tumor datasets, we propose a novel data augmentation technique based on a diffusion model, referred to as the Multi-Channel Fusion Diffusion Model(MCFDiffusion). …”
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Development of triple-diode based generalized model of photovoltaic module by Harish Kumar Khyani, Jayashri Vajpai

“…This generalized model has the flexibility of representing double and single-diode models, with nine or lesser design parameters, by considering (or neglecting) recombination and diffusion losses, and representing different materials by corresponding values of band gap energy through a customized dialog box. …”
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The Computable General Equilibrium Models for Migration Analysis: Bibliometric Approach by Дени Ризванович Сугаипов

“… Computable general equilibrium (CGE) models are widely used to analyse the effects of migration on macroeconomic indicators in both origin and destination countries. …”
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TRIDENT: Text-Free Data Augmentation Using Image Embedding Decomposition for Domain Generalization by Yoonyoung Choi, Geunhyeok Yu, Hyoseok Hwang

“…To mitigate the effects of distribution shifts, domain generalization (DG) aims to enable models to generalize effectively to unseen target domains. …”
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White-Matter Connectivity and General Movements in Infants with Perinatal Brain Injury by Ellen N. Sutter, Jose Guerrero-Gonzalez, Cameron P. Casey, Douglas C. Dean, Andrea de Abreu e Gouvea, Colleen Peyton, Ryan M. McAdams, Bernadette T. Gillick

“…Tractography was used to identify the corticospinal tract, a key motor pathway often affected by perinatal brain injury, and tract-based spatial statistics (TBSS) were used to examine broader white matter networks. Diffusion parameters from the diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) models were compared between infants with and without typical general movements. …”
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Modified Solution–Diffusion Model Incorporating Rotational Kinetic Energy in Pressure Retarded Osmosis by Daniel Ruiz-Navas, Edgar Quiñones-Bolaños, Mostafa H. Sharqawy

“…In general, PRO has traditionally been explained through the solution–diffusion model, where the flow of water through the membrane depends on a diffusivity factor, the concentration gradient, and the hydraulic pressure gradient. …”
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Diffusion Filters for Variational Data Assimilation of Sea Surface Temperature in an Intermediate Climate Model by Xuefeng Zhang, Dong Li, Peter C. Chu, Lianxin Zhang, Wei Li

“…While the GDF reduces the model bias in general, it can enhance the accuracy of the state estimation in the region that the observations are removed, especially in the South Ocean. …”
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Denoising diffusion probabilistic models for addressing data limitations in chest X-ray classification by Evi M.C. Huijben, Josien P.W. Pluim, Maureen A.J.M. van Eijnatten

“…To address these challenges, there has been a growing interest in the use of deep generative models to create synthetic training data, with denoising diffusion probabilistic models (DDPMs) recently gaining attention for their ability to produce realistic and high-quality images. …”
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Coupled Dynamic Model of Resource Diffusion and Epidemic Spreading in Time-Varying Multiplex Networks by Ping Huang, Xiao-Long Chen, Ming Tang, Shi-Min Cai

“…For that, we propose a coupled resource-epidemic (RNR-SIS) dynamic model (coupled model for short) on a time-varying multiplex network to synchronously simulate the resource diffusion and epidemic spreading in dynamic social networks. …”
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Multi-view fusion of diffusion MRI microstructural models: a preterm birth study by Rosella Trò, Monica Roascio, Domenico Tortora, Mariasavina Severino, Andrea Rossi, Andrea Rossi, Eleftherios Garyfallidis, Gabriele Arnulfo, Gabriele Arnulfo, Marco Massimo Fato, Shreyas Fadnavis

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Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model by Yue Yang, Tie Liu, Ying Pu, Liangchen Liu, Qijun Zhao, Qun Wan

“…The diffusion model is able to learn the training data distribution and contextual information of RS objects from which more robust and generalized representations could be extracted for the downstream application of change captioning. …”
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Stability Analysis of a Master–Slave Cournot Triopoly Model: The Effects of Cross-Diffusion by Maria Francesca Carfora, Isabella Torcicollo

“…A reaction–diffusion system of PDEs generalizing a nonlinear triopoly model describing a master–slave Cournot game is introduced. …”
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