An AI model can predict and help contain disease outbreaks in confined spaces

Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...

Remote sensing model enables early detection of vole outbreaks in Spanish farmlands

Researchers at the Regional Service for Agri-Food Research and Development (SERIDA) have developed a new large-scale remote ...
JD Supra

Model Behavior: FDA and EMA’s Guide to Good AI in Drug Development

The US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) just issued a joint statement outlining 10 “Guiding Principles” ...
IEEE

Passivity-Based Inverse Model Predictive Control with Reduced Sensors for Grid-Forming Inverters

Abstract: This paper proposes a novel control strategy for grid-forming (GFM) inverters based on passivity principles and inverse model predictive control (IMPC). The principle of passivity-based ...
IEEE

Finite Control Set Model Predictive-Sliding Mode Control Based Strategy for 4-L NNPC Converters

Abstract: In this paper, an improved finite control set-model predictive control strategy for four-level nested neutral point clamped (4L-NNPC) converters is proposed. Compared with two-level ...
Machine Design

Is SciML the Predictive Maintenance Breakthrough Manufacturing Has Been Waiting For?

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Frontiers

A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b ...

Background: Chronic hepatitis B (CHB) is an infectious disease mainly affecting the liver, caused by the hepatitis B virus (HBV). In the treatment of CHB, pegylated interferon α-2b (PEG-IFNα-2b) is ...
Scientific Research Publishing

Gini Coefficient and AUC in Assessing Predictive Model Performance: Effect of Ranks ()

ACA Research Group, Faculty of Business Studies, University of Vaasa, Vaasa, Finland. The content of this paper is divided into four short sections. In the first section, the motivation and content of ...
Frontiers

Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...