Many data-driven modeling techniques identify locally valid, linear representations of time-
varying or nonlinear systems, and thus the model parameters must be adaptively updated as …

Predicting the blood glucose level of type 1 diabetes mellitus of patients could prevent
hypo/hyperglycemia incidents that are threats for the patients with this disease. A nonlinear …

Background: Diabetes mellitus, which causes dysregulation of blood glucose in humans, is
a major public health challenge. Patients with diabetes must monitor their glycemic levels to …

Mineral particle size is an important parameter in the mineral beneficiation process. In
industrial processes, the grinding process produces pulp with qualified particle size for …

This work considers the problem of adaptive prior-informed model predictive control (MPC)
formulations that explicitly incorporate prior knowledge in the model development and is …

Continuous Glucose Monitoring (CGM) has enabled important opportunities for diabetes
management. This study explores the use of CGM data as input for digital decision support …

The monitoring and management of Postprandial Glucose Response (PGR), by
administering an insulin bolus before meals, is a crucial issue in Type 1 Diabetes (T1D) …

Objective: Type-1 diabetes (T1D) is a disease characterized by impaired blood glucose (BG)
regulation, forcing patients to multiple daily therapeutic actions, including insulin …

Wearable biosensors and smartphone applications can measure physiological variables
over multiple days in free-living conditions. We measure food and drink ingestion, glucose …

In the field of medical science, accurate prediction is a difficult and challenging task. But, the
presence of missing values and outliers can make the prediction task more complicated …