Chaotic and Stochastic Components in an Influenza Surveillance Series: Nonlinear Dynamics and Predictive Modeling Study. [PDF]
Goncalves CPDS, Rouco C.
europepmc +1 more source
Stochastic decomposition for retrial queues
retrial queues, stochastic decomposition property, vacation models, factorial cumulants, rate of convergence,
J. Artalejo, J. Falin
core +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Koopman mode decomposition of thermodynamic dissipation in nonlinear Langevin dynamics. [PDF]
Sekizawa D, Ito S, Oizumi M.
europepmc +1 more source
Backward Stochastic PDEs Related to the Utility Maximization Problem [PDF]
We study utility maximization problem for general utility functions using dynamic programming approach. We consider an incomplete financial market model, where the dynamics of asset prices are described by an Rd-valued continuous semimartingale.
Michael Mania, Revaz Tevzadze
core
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Phase-Specific Parameter Estimation in Chiral HPLC Using 1-Site, 2-Site Stochastic Models, and Unified Equation Approach. [PDF]
Mirzahosseini A +12 more
europepmc +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Physics-informed structural diagnostics of model-data agreement beyond scalar metrics. [PDF]
Haddadi H, Kloskowski A, Mironowicz P.
europepmc +1 more source
Modeling stochastic dependencies and their impact on optimal decision making
textThis research addresses three important questions for solving a general stochastic optimization problem: proper modeling of the uncertainties and their interactions, use of decomposition techniques to solve the resulting optimization problems, and ...
Galenko, Alexander Yurievich, 1982-
core

