A survey on hypergraph representation learning
Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …
naturally modeling a broad range of systems where high-order relationships exist among …
Toward cognitive predictive maintenance: A survey of graph-based approaches
Abstract Predictive Maintenance (PdM) has continually attracted interest from the
manufacturing community due to its significant potential in reducing unexpected machine …
manufacturing community due to its significant potential in reducing unexpected machine …
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment
Bearing fault diagnosis is a critical and challenging task for prognostics and health
management of motors. The ability to efficiently and accurately classify the fault categories …
management of motors. The ability to efficiently and accurately classify the fault categories …
Promoting employee health in smart office: A survey
The advancement of Internet-of-Things (IoT) and artificial intelligence contribute to the
prevailing development of smart office, which is capable of understanding employees' …
prevailing development of smart office, which is capable of understanding employees' …
Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system
In this paper, we intend to address the value creation of utilizing the Industrial Internet of
Things (IIoT)-driven resource synchronization and sharing-based robotic mobile fulfillment …
Things (IIoT)-driven resource synchronization and sharing-based robotic mobile fulfillment …
Residual-hypergraph convolution network: A model-based and data-driven integrated approach for fault diagnosis in complex equipment
Timely and accurate fault diagnosis plays a critical role in today's smart manufacturing
practices, saving invaluable time and expenditure on maintenance process. To date …
practices, saving invaluable time and expenditure on maintenance process. To date …
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system
With the rapid development and implementation of ICT, academics and industrial
practitioners are widely applying robotic process automation (RPA) to enhance their …
practitioners are widely applying robotic process automation (RPA) to enhance their …
Fault detection and diagnosis of air brake system: A systematic review
The air brake system is critical for the proper functioning heavy commercial vehicles, and
maintaining its health is crucial to avoid unfortunate accident consequences. Due to the …
maintaining its health is crucial to avoid unfortunate accident consequences. Due to the …
Evaluating the effectiveness of digital content marketing under mixed reality training platform on the online purchase intention
The purpose of this research is to investigate the effectiveness of Digital Content Marketing
(DCM) on a Mixed Reality (MR) training platform environment with the consideration of …
(DCM) on a Mixed Reality (MR) training platform environment with the consideration of …