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Advancing 3D bioprinting through machine learning and artificial intelligence
Abstract 3D bioprinting, a vital tool in tissue engineering, drug testing, and disease
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …
Human-cyber-physical system for Industry 5.0: A review from a human-centric perspective
Industry 5.0 heralds a new wave of the industrial revolution, placing a spotlight on human-
centric intelligent manufacturing. At the core of Industry 5.0 lies the human-cyber-physical …
centric intelligent manufacturing. At the core of Industry 5.0 lies the human-cyber-physical …
Outlook on human-centric manufacturing towards Industry 5.0
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …
formal discussions that manufacturing should be human-centric–placing the wellbeing of …
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …
integration of human-in-the-loop with technologies, to address challenges of human …
Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven …
Research background: With increasing evidence of cognitive technologies progressively
inte-grating themselves at all levels of the manufacturing enterprises, there is an …
inte-grating themselves at all levels of the manufacturing enterprises, there is an …
Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0
The production control for the mass individualisation paradigm of R&D-stage products is
challenging due to the mix-flow and frequently-disturbed environment. With the convergence …
challenging due to the mix-flow and frequently-disturbed environment. With the convergence …
Human-centered ai in smart farming: Towards agriculture 5.0
This paper delineates the contemporary landscape, challenges, and prospective
developments in human-centred artificial intelligence (AI) within the ambit of smart farming, a …
developments in human-centred artificial intelligence (AI) within the ambit of smart farming, a …
Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels
In real-life manufacturing systems, production management is often affected by urgent
demands and unexpected interruptions, such as new job insertions, machine breakdowns …
demands and unexpected interruptions, such as new job insertions, machine breakdowns …
Dynamic production scheduling towards self-organizing mass personalization: A multi-agent dueling deep reinforcement learning approach
Mass personalization is rapidly approaching. In response, manufacturing systems should be
capable of autonomously changing production plans, configurations and schedules under …
capable of autonomously changing production plans, configurations and schedules under …
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing
Abstract The Industrial Internet of Things (IIoT) interconnects a large number of
interconnected sensors, actuators, and edge computing devices in the manufacturing …
interconnected sensors, actuators, and edge computing devices in the manufacturing …