Zerrendatu Ikerketa-Kongresuak honen arabera: gaia "deep learning"
2-tik 1-2 emaitza erakusten
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A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ... -
Towards robust defect detection in casting using contrastive learning
(Springer, 2023)Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the occasional emergence of new defects in the production line poses a significant ...