In a study published in Analytical Chemistry, researchers from the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) reveal a sobering reality regarding nontargeted ...

Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...

Abstract: With the increasing penetration of renewable energy, power systems exhibit diverse and complex operational characteristics, often leading to convergence problems in traditional numerical ...

1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...

Abstract: Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative ...

Under the Weapons of Mass Destruction Analysis, Exploitation and Data Science Support, or WAEDS, task order, Booz Allen said Thursday it will apply advanced technology and bring highly technical ...

Stroke is one of the leading causes of disability and death worldwide, often leading to physical paralysis and cognitive dysfunction, seriously affecting patients’ quality of life, and increasing ...

Efficient performance and acquisition of physical skills, from sports techniques to surgical procedures, require instruction and feedback. In the absence of a human expert, Mixed Reality Intelligent ...

ABSTRACT: Purpose: We have previously developed the AutoFrame platform for automating the IMRT QA clinical workflow and achieved L3 automation for patient specific QA (PSQA). The goal of this study is ...

An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II ...