Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

This research paper explores the integration of novel technologies in hospital emergency
evacuations, particularly in Operating Rooms (ORs) and Emergency Departments (EDs). It …

This paper explores the development of a unified hybrid approach for sensor and actuator
fault diagnosis in digital twins for remote operations. Central to this approach is the …

Digital twins need efficient methodologies to design maintenance strategies for decision-
making purposes. Recently, a methodology coupling computational simulation and …

District heating is one of the main strategies for providing heat supply for buildings in cold
climate countries. However, large parts of the current prefabricated pipes of these networks …

Background Maintaining machines effectively continues to be a challenge for industrial
organisations, which frequently employ reactive or premeditated methods. Recent research …

The shock and vibration of the isolation system of the vehicle are random, so the life model
of the isolator cannot make an accurate prediction through the empirical formula. Also, the …

One of the main challenges in operating multistate manufacturing systems (MMSs) is
maintaining stable and robust production against various disruptions. Therefore, an urgent …

人文地理环境是人类活动与地理环境交互作用形成的综合环境, 环境复杂且脆弱性高.
引入数字孪生方法, 构建依实驱虚, 依虚控实, 虚实协同演进的人文地理学问题研究新模式 …

The rise of digital twin (DT) technology is transforming the way businesses operate, with its
applications and use cases expanding across various industries. This article focuses on the …