Stochastic modeling of pneumonia transmission dynamics and implications for public health control. [PDF]
Raza A +5 more
europepmc +1 more source
One size does not fit all: an application of stochastic modeling to estimating primary healthcare needs in Ethiopia at the sub-national level. [PDF]
Hagedorn BL, Han R, McCarthy KA.
europepmc +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Residual-Guided Hybrid Stochastic Modeling: A Two-Stage Learning Framework for Urban GNSS Positioning Enhancement. [PDF]
Yin J +7 more
europepmc +1 more source
Close agreement between deterministic versus stochastic modeling of first-passage time to vesicle fusion. [PDF]
Matveev VV.
europepmc +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Characterizing cellular receptor dynamics in live fluorescence imaging using stochastic modeling and machine learning. [PDF]
Nardi G +5 more
europepmc +1 more source
Stochastic Modeling and Forecasting of Covid-19 Deaths: Analysis for the Fifty States in the United States. [PDF]
Otunuga OM, Otunuga O.
europepmc +1 more source
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley +1 more source

