The role of industry 4.0 technologies in overcoming pandemic challenges for the manufacturing sector [0.03%]
工业4.0技术在制造业应对疫情挑战中的作用
Parham Dadash Pour,Mohammad A Nazzal,Basil M Darras
Parham Dadash Pour
Industry 4.0 aims to revolutionize the manufacturing sector to achieve sustainable and efficient production. The novel coronavirus pandemic has brought many challenges in different industries globally. Shortage in supply of raw material, ch...
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images [0.03%]
基于深度学习的CT图像新冠肺炎诊断及分类融合模型
R T Subhalakshmi,S Appavu Alias Balamurugan,S Sasikala
R T Subhalakshmi
Recently, the COVID-19 pandemic becomes increased in a drastic way, with the availability of a limited quantity of rapid testing kits. Therefore, automated COVID-19 diagnosis models are essential to identify the existence of disease from ra...
Using formal methods to scope performance challenges for Smart Manufacturing Systems: focus on agility [0.03%]
基于敏捷性的智能制造系统性能挑战的形式化方法研究
Kiwook Jung,K C Morris,Kevin W Lyons et al.
Kiwook Jung et al.
Smart Manufacturing Systems (SMS) need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals to operational performance ...