Deep learning characterization of surface defects in the selective laser melting process
出版年份 2022 全文链接
标题
Deep learning characterization of surface defects in the selective laser melting process
作者
关键词
-
出版物
COMPUTERS IN INDUSTRY
Volume 140, Issue -, Pages 103662
出版商
Elsevier BV
发表日期
2022-04-05
DOI
10.1016/j.compind.2022.103662
参考文献
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- (2020) Hyungki Kim et al. COMPUTERS IN INDUSTRY
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- (2020) Zhenglei He et al. COMPUTERS IN INDUSTRY
- Stable and explainable deep learning damage prediction for prismatic cantilever steel beam
- (2020) Darian M. Onchis et al. COMPUTERS IN INDUSTRY
- Generalizing semi-supervised generative adversarial networks to regression using feature contrasting
- (2019) Greg Olmschenk et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank
- (2019) Xialei Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Development of Micro Selective Laser Melting: The State of the Art and Future Perspectives
- (2019) Balasubramanian Nagarajan et al. Engineering
- Whale counting in satellite and aerial images with deep learning
- (2019) Emilio Guirado et al. Scientific Reports
- DSPNet: Deep scale purifier network for dense crowd counting
- (2019) Xin Zeng et al. EXPERT SYSTEMS WITH APPLICATIONS
- Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation
- (2019) Naveed Ilyas et al. SENSORS
- Defect detection in selective laser melting technology by acoustic signals with deep belief networks
- (2018) Dongsen Ye et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- In situ X-ray imaging of defect and molten pool dynamics in laser additive manufacturing
- (2018) Chu Lun Alex Leung et al. Nature Communications
- Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring
- (2018) Yingjie Zhang et al. MATERIALS & DESIGN
- U-Net: deep learning for cell counting, detection, and morphometry
- (2018) Thorsten Falk et al. NATURE METHODS
- The effect of powder oxidation on defect formation in laser additive manufacturing
- (2018) Chu Lun Alex Leung et al. ACTA MATERIALIA
- Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts
- (2017) Mojtaba Khanzadeh et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Fast crowd density estimation with convolutional neural networks
- (2015) Min Fu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
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