Artificial intelligence as an enabler of quick and effective production repurposing: an exploratory review and future research propositions
The outbreak of Covid-19 created disruptions in manufacturing operations. One of the most
serious negative impacts is the shortage of critical medical supplies. Manufacturing firms …
serious negative impacts is the shortage of critical medical supplies. Manufacturing firms …
Smart manufacturing scheduling approaches—Systematic review and future directions
The recent advances in technology and the demand for highly customized products have
been forcing manufacturing companies to adapt and develop new solutions in order to …
been forcing manufacturing companies to adapt and develop new solutions in order to …
Group consensus via pinning control for a class of heterogeneous multi-agent systems with input constraints
This paper studies group consensus for a class of heterogeneous multi-agent systems
(HMASs), where the dynamics of agents are described by single and double integrators …
(HMASs), where the dynamics of agents are described by single and double integrators …
An efficient stochastic numerical computing framework for the nonlinear higher order singular models
The focus of the present study is to present a stochastic numerical computing framework
based on Gudermannian neural networks (GNNs) together with the global and local search …
based on Gudermannian neural networks (GNNs) together with the global and local search …
Applications of Gudermannian neural network for solving the SITR fractal system
This study is related to explore the Gudermannian neural network (GNN) for solving a
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …
Homomorphic encryption of supervisory control systems using automata
Cyber-physical systems have been highly integrated into many contemporary
infrastructures. As this integration deepens, the importance of protecting these systems from …
infrastructures. As this integration deepens, the importance of protecting these systems from …
[HTML][HTML] Ozone treatment of ultrafiltered sugarcane juice: Process optimization using multi-objective genetic algorithm and correlation analysis by multivariate …
Ultrafiltration followed by ozonation were adopted as non-thermal methods for sugarcane
juice (SJ) treatment. The applicability of multi-objective genetic algorithm (MOGA) as an …
juice (SJ) treatment. The applicability of multi-objective genetic algorithm (MOGA) as an …
RetinexGAN: Unsupervised low-light enhancement with two-layer convolutional decomposition networks
T Ma, M Guo, Z Yu, Y Chen, X Ren, R Xi, Y Li… - IEEE …, 2021 - ieeexplore.ieee.org
In the field of image enhancement, using deep learning methods to enhance low-light
images is currently mainstream. However, the methods often have complex network …
images is currently mainstream. However, the methods often have complex network …
Review of machine learning technologies and artificial intelligence in modern manufacturing systems
With the advent of new methods usually identified under the banners of artificial intelligence
(AI) and machine learning (ML), statistical analysis methods of complex and uncertain …
(AI) and machine learning (ML), statistical analysis methods of complex and uncertain …
Intelligent colored token Petri nets for modeling, control, and validation of dynamic changes in reconfigurable manufacturing systems
H Kaid, A Al-Ahmari, Z Li, R Davidrajuh - Processes, 2020 - mdpi.com
The invention of reconfigurable manufacturing systems (RMSs) has created a challenging
problem: how to quickly and effectively modify an RMS to address dynamic changes in a …
problem: how to quickly and effectively modify an RMS to address dynamic changes in a …