Imagen de Portada

Reducing Recurrent Competitive Epidemics via Dynamic Resource Allocation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kalogeratos, Argyris, Abel, Gaspard, Mannelli, Stefano Sarao
Formato:	Preprint
Publicado:	2020
Materias:	Social and Information Networks Optimization and Control Physics and Society Populations and Evolution G.3; I.6; I.2.8; J.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bang-Bang Optimal Control of Vaccination in Metapopulation Epidemics with Linear Cost Structures
por: Moschen, Lucas Machado, et al.
Publicado: (2025)

Bilinear Mamba-Koopman Neural MPC for Varying Dynamics
por: Pagi, Matan, et al.
Publicado: (2026)

Overtourism to Equilibrium: A System Dynamics & Multi-Objective Model for Sustainable Destinations
por: Lyu, Huanzhu, et al.
Publicado: (2025)

Modeling and analysis methods for early detection of leakage points in gas transmission systems
por: Aliyev, Ilgar
Publicado: (2025)

Deep Policy Iteration with Integer Programming for Inventory Management
por: Harsha, Pavithra, et al.
Publicado: (2021)

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
por: Caspari, Adrian, et al.
Publicado: (2025)

GEPOC ABM, Generic Population Concept -- Agent-Based Model, Version 2.2
por: Bicher, Martin, et al.
Publicado: (2025)

Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities
por: Si-moussi, Sara, et al.
Publicado: (2025)

Joint Deployment and Beamforming Design of Aerial STAR-RIS Aided Networks with Reinforcement Learning
por: Ma, Zhuoyuan, et al.
Publicado: (2023)

Evaluating the Impact of Vaccine Hesitancy on the Allocation of Vital Resources During COVID-19 Pandemic
por: Bui, Hieu, et al.
Publicado: (2024)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
por: Agia, Christopher, et al.
Publicado: (2024)

Decentralized Nonlinear Model Predictive Control-Based Flock Navigation with Real-Time Obstacle Avoidance in Unknown Obstructed Environments
por: Gerdpratoom, Nuthasith, et al.
Publicado: (2025)

Column Generation Using Domain-Independent Dynamic Programming
por: Kuroiwa, Ryo, et al.
Publicado: (2025)

Mathematical Modeling of Biofilm Eradication Using Optimal Control
por: Akber, Rehan, et al.
Publicado: (2025)

Peer-to-Peer (P2P) Electricity Markets for Low Voltage Networks
por: Fernandes, Diana Vieira, et al.
Publicado: (2024)

EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference
por: Boik, John C., et al.
Publicado: (2025)

Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance
por: Scheidegger, Simon
Publicado: (2026)

Cross-Directional Modelling and Control of Slot-Die Battery Electrode Coating
por: Kim, Hyuntae, et al.
Publicado: (2026)

The impact of recovery rate heterogeneity in achieving herd immunity
por: Turinici, Gabriel
Publicado: (2024)

Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity for Systems with Neural Network Controllers
por: Hedesh, Hamidreza Montazeri, et al.
Publicado: (2024)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
por: Yousaf, Iqra
Publicado: (2024)

Scalable Nested Optimization for Deep Learning
por: Lorraine, Jonathan
Publicado: (2024)

Differentiable Material Point Method for the Control of Deformable Objects
por: Bolliger, Diego, et al.
Publicado: (2025)

Scalable and Interpretable Scientific Discovery via Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)
por: Ju, Y. Sungtaek
Publicado: (2025)

Uncertainty Quantification for Scientific Machine Learning using Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)
por: Ju, Y. Sungtaek
Publicado: (2025)

A Batch Update Using Multiplicative Noise Modelling for Extended Object Tracking
por: Gramsch, Christian, et al.
Publicado: (2024)

A Rule-Based Epidemiological Modelling Framework
por: Alonso, David, et al.
Publicado: (2021)

Relating Reinforcement Learning to Dynamic Programming-Based Planning
por: Georgiev, Filip V., et al.
Publicado: (2026)

Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
por: Wu, Xiaoyi, et al.
Publicado: (2025)

A maturity framework for data driven maintenance
por: Rijsdijk, Chris, et al.
Publicado: (2024)

BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
por: Jung, Minchan, et al.
Publicado: (2024)

Compositional Construction of Barrier Functions for Switched Impulsive Systems
por: Bieker, Katharina, et al.
Publicado: (2024)

A Python Benchmark Functions Framework for Numerical Optimisation Problems
por: Baronti, Luca, et al.
Publicado: (2024)

Towards Systematic Generalization for Power Grid Optimization Problems
por: Memon, Zeeshan, et al.
Publicado: (2026)

Reinforcement Learning control strategies for Electric Vehicles and Renewable energy sources Virtual Power Plants
por: Maldonato, Francesco, et al.
Publicado: (2024)

A Constraint Programming Model for the Super-Agile Earth Observation Satellite Imaging Scheduling Problem
por: Caleiras, Margarida, et al.
Publicado: (2026)

APC-GNN++: An Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability for Diabetes Classification
por: Berkani, Khaled
Publicado: (2025)

PIRS: Physics-Informed Reward Shaping for SAC-Based Building Energy Management
por: Zaregarizi, Shadmehr, et al.
Publicado: (2026)

An Aircraft Upset Recovery System with Reinforcement Learning
por: Demir, Mahir, et al.
Publicado: (2026)

Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
por: Zong, Shilong, et al.
Publicado: (2025)