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 ...

At the “Make with Notion” event on Thursday, the company announced the launch of its first AI agent. The agent will draw on all of a user’s notion pages and database as context, automatically ...

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 ...

Translation For the Chinese translation of the abstract see Supplementary Materials section. We conducted a three-stage mixed-methods systematic analysis: (1) a narrative review mapping the regional ...

With an aging population, task-shifting in dementia care has been proposed to meet the needs of persons living with dementia (PLWD). In Japan, the Initial-phase Intensive Support Service (IPIS), led ...

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 ...

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 ...