We developed a new model, retinopathy screening simulation (ReSS), that builds upon POST, by placing it within a modeling framework that explicitly models each patient separately, allowing us to more easily model screening and retinopathy progression.
This work presents a modeling framework that combines first principle models with Gaussian process model and aims to account for model discrepancy due to the effect of fouling on the system from previous cycle of operation.
Hence, in this paper, we propose a modeling framework that allows developers to model simple behavior-based robotic systems enhanced by the use of Central Pattern Generators (CPGs) for modulating the sensor-motor loops.
In addition, we propose a modeling framework that provides appropriate conceptual models for developing and describing CPMS and enabling their composition.
The above probabilistic modeling framework that incorporates multiple motif models can be viewed as an extension of a framework proposed in [42].
Structural equation models provide a latent variable modeling framework that is useful in detailed examinations of dimensionality.
The global version of the CGE model is supported by the GTAP model that provides modeling framework and the database for the implementation of the CGE model.
As already motivated in the "Introduction" section, converging mortality between a COI and RCs is a modeling strategy (of the proposed model) that can be optionally applied to forecast long-term trend changes for a COI.
From the identified RBF-ARX model, a local linearization state-space model that considers the modeling error and bounded uncertain disturbance is obtained to represent the current behavior of the nonlinear system, and a polytopic uncertain linear parameter varying (LPV) state-space model is built to represent the future system's nonlinear behavior between the output deviation and input increment.
Since the ankle strategy is typically adopted in human balance control modeling [21], a more complex musculoskeletal model that also includes the knee and ankle joints would allow for better biofidelic representation of human motion.
