Scientists have developed a new artificial intelligence tool that can predict whether an adult has attention-deficit ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

With the increasing complexity of underwater operations, remotely operated vehicles systems face the dual challenges of multi-source interference and component failures in unknown environments. The ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

Abstract: The conventional model predictive current control (MPCC) for permanent magnet synchronous motor (PMSM) is affected by the issues of stator current fluctuation and control performance ...

Abstract: This paper considers risk-sensitive model predictive control for stochastic systems with a decisiondependent distribution. This class of systems is commonly found in human-robot interaction ...

ABSTRACT: Attrition is a common challenge in statistical analysis for longitudinal or multi-stage cross-sectional studies. While strategies to reduce attrition should ideally be implemented during the ...

Force-feedback bilateral teleoperation—the technology that lets human operators feel and manipulate distant objects via a robot—has accelerated markedly in the past decade. In the comprehensive survey ...