Advancing 3D bioprinting through machine learning and artificial intelligence

S Ramesh, A Deep, A Tamayol, A Kamaraj, C Mahajan… - Bioprinting, 2024 - Elsevier
Abstract 3D bioprinting, a vital tool in tissue engineering, drug testing, and disease
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

S Lou, Z Hu, Y Zhang, Y Feng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

Outlook on human-centric manufacturing towards Industry 5.0

Y Lu, H Zheng, S Chand, W **a, Z Liu, X Xu… - Journal of Manufacturing …, 2022 - Elsevier
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 …

Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective

B Wang, P Zheng, Y Yin, A Shih, L Wang - Journal of Manufacturing …, 2022 - Elsevier
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 …

Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0

J Leng, W Sha, Z Lin, J **g, Q Liu… - International Journal of …, 2023 - Taylor & Francis
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 …

Human-centered ai in smart farming: Towards agriculture 5.0

A Holzinger, I Fister Jr, I Fister, HP Kaul… - IEEe Access, 2024 - ieeexplore.ieee.org
This paper delineates the contemporary landscape, challenges, and prospective
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

Y Liu, J Fan, L Zhao, W Shen, C Zhang - Robotics and Computer-Integrated …, 2023 - Elsevier
In real-life manufacturing systems, production management is often affected by urgent
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

Z Qin, D Johnson, Y Lu - Journal of Manufacturing Systems, 2023 - Elsevier
Mass personalization is rapidly approaching. In response, manufacturing systems should be
capable of autonomously changing production plans, configurations and schedules under …

A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing

M Liu, X Li, J Li, Y Liu, B Zhou, J Bao - Advanced Engineering Informatics, 2022 - Elsevier
Abstract The Industrial Internet of Things (IIoT) interconnects a large number of
interconnected sensors, actuators, and edge computing devices in the manufacturing …