Informaatioteknologian tiedekunta: viimeksi lisätyt
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Creative and Adversarial Cellular Automata for Simulating Resilience in Industry 5.0
(Elsevier, 2024)Emerging Industry 5.0 pushes advanced automation towards resilient solutions with enhanced human role. Resilience as an ability to sustain processes in the face of disruptions and adversarial attacks requires careful ... -
Deep Neural Networks, Cellular Automata and Petri Nets : Useful Hybrids for Smart Manufacturing
(Elsevier, 2024)In the era of Industry 4.0 and beyond, intelligent and reliable models are vital for processes and assets. Models in smart manufacturing involve combining knowledge-based and data-driven methods with discrete and continuous ... -
Taxonomy-Informed Neural Networks for Smart Manufacturing
(Elsevier, 2024)A neural network (NN) is known to be an efficient and learnable tool supporting decision-making processes particularly in Industry 4.0. The majority of NNs are data-driven and, therefore, depend on training data quantity ... -
Using Cloning-GAN Architecture to Unlock the Secrets of Smart Manufacturing : Replication of Cognitive Models
(Elsevier, 2024)As Industry 4.0 and 5.0 evolve to be highly automated but human-centric, there is a need for process modeling based on digital replicas of physical objects including humans. Knowledge distillation and cognitive cloning ... -
Hybrid modeling design patterns
(Springer, 2024)Design patterns provide a systematic way to convey solutions to recurring modeling challenges. This paper introduces design patterns for hybrid modeling, an approach that combines modeling based on first principles with ...