Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

The institute’s Professional Certificate Programme in Advanced Data Analytics for Managers provides the dual capability required to interpret complex datasets and drive strategic action.

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

1 Doctoral School, Burundi University, Bujumbura, Burundi. 2 LURMISTA, ISTA, University of Burundi, Bujumbura, Burundi. 3 Faculty of Computer Science, University of Alexandru Ion Cuza, Iasi, Rumania.

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and ...