Intelligent support in manufacturing process selection based on artificial neural networks, fuzzy logic, and genetic algorithms: Current state and future perspectives
F Mumali, J Kałkowska - Computers & Industrial Engineering, 2024 - Elsevier
Technological advances, dynamic customer needs, growing uncertainty, and the imperative
for sustainable development pressure manufacturing entities to enhance productivity and …
for sustainable development pressure manufacturing entities to enhance productivity and …
A Causal Inference Approach to Eliminate the Impacts of Interfering Factors on Traffic Performance Evaluation
Before and after study frameworks are widely adopted to evaluate the effectiveness of
transportation policies and emerging technologies. However, many factors such as seasonal …
transportation policies and emerging technologies. However, many factors such as seasonal …
Deep learning and sequence mining for manufacturing process and sequence selection
Automatic determination of manufacturing process sequences for the physical production of
given part designs is key to facilitate on-demand cyber manufacturing. In this work, we …
given part designs is key to facilitate on-demand cyber manufacturing. In this work, we …
Deep learning-based semantic segmentation of machinable volumes for cyber manufacturing service
Enabling the vision of on-demand cyber manufacturing-as-a-service requires a new set of
cloud-based computational tools for design manufacturability feedback and process …
cloud-based computational tools for design manufacturability feedback and process …