Abstract Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of
medicine. Healthcare organizations are now starting to establish management strategies for …

Agent-based approaches have been known to be appropriate as systems and methods in
medical administration in recent years. The increased attention to processes led to the …

The National Bureau of Statistics of China shows that the population over 65 years old in
China exceeds 166 million accounting for 11.93% of the total population by the end of 2018 …

This study presents a modified compensating observer control strategy for nonlinear multi-
agent systems affected by unknown hysteresis signal loops. Compared to conventional …

Autonomous intelligent systems are starting to influence clinical practice, as ways to both
readily exploit experts' knowledge when contextual conditions demand so, and harness the …

摘要针对一类具有未知状态与磁滞输入的多智能体系统稳定性问题, 提出了一种基于新型时变
增益的自适应控制方案. 该方案包括构建新型高增益观测器, 整合所有未知项并在微分控制环节 …

The emerging behavior in complex systems is more complicated than the sum of the
behaviors of their constituent parts. This behavior involves the propagation of faults between …

Multidisciplinary clinical decision-making has become increasingly important for complex
diseases, such as cancers, as medicine has become very specialized. Multiagent systems …

Childs Pastorate is a volunteer-based social organization assisting hundreds of thousands
of children under six years old and pregnant women. Given the challenge to monitor and …

In this paper, a leader following consensus problem for a first-order multi-agent system
without priori knowledge of the control direction is studied by using adaptive iterative …