Image de couverture de livre

Identifying Memory Effects in Epidemics via a Fractional SEIRD Model and Physics-Informed Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Zinihi, Achraf
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Quantitative Methods 92C60, 26A33, 65L05, 68T07
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Constraint-Aware Physics-Informed Neural Networks for SEIR Reaction-Diffusion Epidemic Models with Vital Dynamics
par: Zinihi, Achraf, et autres
Publié: (2026)

Data-driven Neural Networks for Windkessel Parameter Calibration
par: Hoock, Benedikt, et autres
Publié: (2025)

Optimal Control of a Diffusive Epidemiological Model Involving the Caputo-Fabrizio Fractional Time-Derivative
par: Zinihi, Achraf, et autres
Publié: (2024)

A Koopman Operator Framework for Nonlinear Epidemic Dynamics: Application to an SIRSD Model
par: Zinihi, Achraf, et autres
Publié: (2025)

Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
par: Han, Shuai, et autres
Publié: (2025)

AntibodyDesignBFN: High-Fidelity Fixed-Backbone Antibody Design via Discrete Bayesian Flow Networks
par: Hu, Yue, et autres
Publié: (2026)

Spatiotemporal SEIQR Epidemic Modeling with Optimal Control for Vaccination, Treatment, and Social Measures
par: Zinihi, Achraf, et autres
Publié: (2025)

SUND: simulation using nonlinear dynamic models - a toolbox for simulating multi-level, time-dynamic systems in a modular way
par: Podéus, Henrik, et autres
Publié: (2025)

Actuarial Analysis of an Infectious Disease Insurance based on an SEIARD Epidemiological Model
par: Zinihi, Achraf, et autres
Publié: (2025)

Comparing Physics-Informed and Neural ODE Approaches for Modeling Nonlinear Biological Systems: A Case Study Based on the Morris-Lecar Model
par: Matzakos, Nikolaos M., et autres
Publié: (2026)

Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals
par: Jo, Hyeontae, et autres
Publié: (2025)

Robust Synchronization of Time-Fractional Memristive Hopfield Neural Networks
par: You, Yuncheng
Publié: (2025)

SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
par: XU, Shengrui, et autres
Publié: (2025)

MetaGEM: Bottom-Up Reconstruction of Genome-Scale Metabolic Networks via Deep Enzyme-Metabolite Anchoring
par: Xiao, Weiyu, et autres
Publié: (2026)

Deep Predictor-Corrector Networks for Robust Parameter Estimation in Non-autonomous System with Discontinuous Inputs
par: Gu, Gyeongwan, et autres
Publié: (2026)

Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
par: Singh, Gautam, et autres
Publié: (2025)

Qualitative and Numerical Simulation of a Time-Fractional SEIR Mpox Model Arising in Population Epidemiology
par: Saini, Gaurav, et autres
Publié: (2026)

Genetic Profile-Based Drug Sensitivity Prediction in Acute Myeloid Leukemia Patients Using SVR
par: Ruhama, Sadia
Publié: (2025)

scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
par: D'Ascenzo, Davide, et autres
Publié: (2025)

Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems
par: Anvari, Mehrdad, et autres
Publié: (2025)

Budget-Sensitive Discovery Scoring: A Formally Verified Framework for Evaluating AI-Guided Scientific Selection
par: Basu, Abhinaba, et autres
Publié: (2026)

Error analysis for learning fractional stochastic differential equations with applications in neural approximations
par: Dehshiri, Mahdi, et autres
Publié: (2026)

Parametric Sensitivity Analysis for Models of Reaction Networks within Interacting Compartments
par: Anderson, David F., et autres
Publié: (2024)

A $\star$-Product Approach for Analytical and Numerical Solutions of Nonautonomous Linear Fractional Differential Equations
par: Durastante, Fabio, et autres
Publié: (2025)

Dynamical Behavior of a Stochastic Epidemiological Model: Stationary Distribution and Extinction of a SIRS Model with Stochastic Perturbations
par: Zinihi, Achraf, et autres
Publié: (2024)

GATher: Graph Attention Based Predictions of Gene-Disease Links
par: Narganes-Carlon, David, et autres
Publié: (2024)

Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
par: Botta, Paolo, et autres
Publié: (2025)

Neural Network-Enhanced Disease Spread Dynamics Over Time and Space
par: Caga-anan, Randy L.
Publié: (2024)

Learn and Verify: A Framework for Rigorous Verification of Physics-Informed Neural Networks
par: Tanaka, Kazuaki, et autres
Publié: (2026)

Enhancing mortality prediction in cardiac arrest ICU patients through meta-modeling of structured clinical data from MIMIC-IV
par: Mamatov, Nursultan, et autres
Publié: (2025)

Bio AI Agent: A Multi-Agent Artificial Intelligence System for Autonomous CAR-T Cell Therapy Development with Integrated Target Discovery, Toxicity Prediction, and Rational Molecular Design
par: Ni, Yi, et autres
Publié: (2025)

Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators
par: Cao, Xiang, et autres
Publié: (2025)

Predicting COVID-19 Prevalence Using Wastewater RNA Surveillance: A Semi-Supervised Learning Approach with Temporal Feature Trust
par: Chen, Yifei, et autres
Publié: (2025)

An Augmented Lagrangian Method for Training Recurrent Neural Networks
par: Wang, Yue, et autres
Publié: (2024)

A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
par: Manu, Bright Kwaku, et autres
Publié: (2025)

A Low-complexity Structured Neural Network to Realize States of Dynamical Systems
par: Aluvihare, Hansaka, et autres
Publié: (2025)

Unveiling Cancer Stem Cell Marker Networks: A Hypergraph Approach
par: Margarit, David H., et autres
Publié: (2024)

Ultrafast topological data analysis reveals pandemic-scale dynamics of convergent evolution
par: Bleher, Michael, et autres
Publié: (2021)

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine
par: Zeng, Jingqi, et autres
Publié: (2024)

DLCM: a versatile multi-level solver for heterogeneous multicellular systems
par: Blom, Erik, et autres
Publié: (2025)