标题
Machine learning in manufacturing and industry 4.0 applications
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 59, Issue 16, Pages 4773-4778
出版商
Informa UK Limited
发表日期
2021-08-14
DOI
10.1080/00207543.2021.1956675
参考文献
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- (2021) Dingsen Zhang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An investigation of the utilisation of different data sources in manufacturing with application in injection moulding
- (2021) G. Ø. Rønsch et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Applications of deep learning for fault detection in industrial cold forging
- (2021) Andrew Glaeser et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Using process mining to improve productivity in make-to-stock manufacturing
- (2021) Rafael Lorenz et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Automated procedure reconfiguration framework for augmented reality-guided maintenance applications
- (2021) Rahul Rai et al. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
- The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing
- (2021) Ajit Sharma et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A cloud edge-based two-level hybrid scheduling learning model in cloud manufacturing
- (2020) Chengfeng Jian et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions
- (2020) Zheng Wang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A data-driven method for enhancing the image-based automatic inspection of IC wire bonding defects
- (2020) Junlong Chen et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- CNN-LSTM deep learning architecture for computer vision-based modal frequency detection
- (2020) Ruoyu Yang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A supervised machine learning approach for the optimisation of the assembly line feeding mode selection
- (2020) Francesco Zangaro et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review
- (2020) Chandan K. Sahu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Hierarchical combinatorial design and optimization of non-periodic metamaterial structures
- (2020) Jun Wang et al. Additive Manufacturing
- MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems
- (2020) Zhibo Zhang et al. NEUROCOMPUTING
- Convolutional neural network-based inspection of metal additive manufacturing parts
- (2019) Binbin Zhang et al. RAPID PROTOTYPING JOURNAL
- Deep learning–based stress prediction for bottom-up SLA 3D printing process
- (2019) Aditya Khadilkar et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Machine auscultation: enabling machine diagnostics using convolutional neural networks and large-scale machine audio data
- (2019) Ruo-Yu Yang et al. Advances in Manufacturing
- FeatureNet: Machining feature recognition based on 3D Convolution Neural Network
- (2018) Zhibo Zhang et al. COMPUTER-AIDED DESIGN
- Conceptual Three-Dimensional Modeling Using Intuitive Gesture-Based Midair Three-Dimensional Sketching Technique
- (2018) Jinmiao Huang et al. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
- A product life cycle ontology for additive manufacturing
- (2018) Munira Mohd Ali et al. COMPUTERS IN INDUSTRY
- Human factors study on the usage of BCI headset for 3D CAD modeling
- (2014) S. Sree Shankar et al. COMPUTER-AIDED DESIGN
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