4.5 Article

Convolutional neural network-based inspection of metal additive manufacturing parts

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Industrial

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

Mojtaba Khanzadeh et al.

IISE TRANSACTIONS (2019)

Article Engineering, Industrial

Porosity prediction: Supervised-learning of thermal history for direct laser deposition

Mojtaba Khanzadeh et al.

JOURNAL OF MANUFACTURING SYSTEMS (2018)

Article Computer Science, Interdisciplinary Applications

In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume

M. Grasso et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2018)

Article Multidisciplinary Sciences

Advanced Steel Microstructural Classification by Deep Learning Methods

Seyed Majid Azimi et al.

SCIENTIFIC REPORTS (2018)

Article Engineering, Manufacturing

In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis

Marco Grasso et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2017)

Article Materials Science, Multidisciplinary

Exploring the microstructure manifold: Image texture representations applied to ultrahigh carbon steel microstructures

Brian L. DeCost et al.

ACTA MATERIALIA (2017)

Article Engineering, Industrial

Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

Daniel Weimer et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2016)

Article Materials Science, Multidisciplinary

Image driven machine learning methods for microstructure recognition

Aritra Chowdhury et al.

COMPUTATIONAL MATERIALS SCIENCE (2016)

Proceedings Paper Computer Science, Information Systems

Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification

Xu-Die Ren et al.

2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC 2016) (2016)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Review Materials Science, Multidisciplinary

Metal Additive Manufacturing: A Review

William E. Frazier

JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE (2014)

Review Materials Science, Multidisciplinary

Laser additive manufacturing of metallic components: materials, processes and mechanisms

D. D. Gu et al.

INTERNATIONAL MATERIALS REVIEWS (2012)

Review Automation & Control Systems

Additive fabrication technologies applied to medicine and health care: a review

J. Giannatsis et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2009)

Review Computer Science, Artificial Intelligence

A comprehensive review of current local features for computer vision

Jing Li et al.

NEUROCOMPUTING (2008)

Article Computer Science, Artificial Intelligence

Local features and kernels for classification of texture and object categories: A comprehensive study

J. Zhang et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2007)

Article Engineering, Industrial

Manufacture of the die of an automobile deck part based on rapid prototyping and rapid tooling technology

YH Song et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2002)