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A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks
Research article (Procedia CIRP, 2022) · cited 24× · AI/ML
A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks
Summary
A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks is a scholarly article[1].
Key Facts
A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-approach-for-real-time-process-monitoring-and-curling-defect-detection-in-selective-laser-sintering-by-i
MLA“A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-approach-for-real-time-process-monitoring-and-curling-defect-detection-in-selective-laser-sintering-by-i.
BibTeX@misc{4ortxyz_a-deep-learning-approach-for-real-time-process-monitoring-and-curling-defect-detection-in-selective-laser-sintering-by-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-approach-for-real-time-process-monitoring-and-curling-defect-detection-in-selective-laser-sintering-by-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning approach for real time process monitoring and curling defect detection in Selective Laser Sintering by infrared thermography and convolutional neural networks — https://4ort.xyz/entity/a-deep-learning-approach-for-real-time-process-monitoring-and-curling-defect-detection-in-selective-laser-sintering-by-i (retrieved 2026-05-24)
