Overview: Computer Vision and Machine Learning for Microstructural Characterization and Analysis
出版年份 2020 全文链接
标题
Overview: Computer Vision and Machine Learning for Microstructural Characterization and Analysis
作者
关键词
-
出版物
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-09-30
DOI
10.1007/s11661-020-06008-4
参考文献
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。- Optimizing convolutional neural networks to perform semantic segmentation on large materials imaging datasets: X-ray tomography and serial sectioning
- (2020) Tiberiu Stan et al. MATERIALS CHARACTERIZATION
- Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials
- (2020) Sehyun Chun et al. Scientific Reports
- Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
- (2020) Andrea Gayon-Lombardo et al. npj Computational Materials
- High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel
- (2019) Brian L. DeCost et al. MICROSCOPY AND MICROANALYSIS
- Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning
- (2019) Carl Kusche et al. PLoS One
- Deep Learning for Generic Object Detection: A Survey
- (2019) Li Liu et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- On the assessment of creep damage evolution in nickel-based superalloys through correlative HR-EBSD and cECCI studies
- (2019) Sabin Sulzer et al. ACTA MATERIALIA
- Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces
- (2019) Christopher Kantzos et al. MATERIALS CHARACTERIZATION
- A survey on deep learning techniques for image and video semantic segmentation
- (2018) Alberto Garcia-Garcia et al. APPLIED SOFT COMPUTING
- Advanced Steel Microstructural Classification by Deep Learning Methods
- (2018) Seyed Majid Azimi et al. Scientific Reports
- Polylactide single-polymer composites with a wide melt-processing window based on core-sheath PLA fibers
- (2018) Qingsheng Liu et al. MATERIALS & DESIGN
- Applied machine learning to predict stress hotspots I: Face centered cubic materials
- (2018) Ankita Mangal et al. INTERNATIONAL JOURNAL OF PLASTICITY
- Applied Machine Learning to Predict Stress Hotspots II: Hexagonal close packed materials
- (2018) Ankita Mangal et al. INTERNATIONAL JOURNAL OF PLASTICITY
- Special Issue: Design of Engineered Materials and Structures
- (2018) Raymundo Arroyave et al. JOURNAL OF MECHANICAL DESIGN
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method
- (2017) Min-nan Feng et al. International Journal of Minerals Metallurgy and Materials
- Image driven machine learning methods for microstructure recognition
- (2016) Aritra Chowdhury et al. COMPUTATIONAL MATERIALS SCIENCE
- Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks
- (2016) Brian L. DeCost et al. JOM
- Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
- (2016) Radoslaw Martin Cichy et al. Scientific Reports
- A computer vision approach for automated analysis and classification of microstructural image data
- (2015) Brian L. DeCost et al. COMPUTATIONAL MATERIALS SCIENCE
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Characterization and Control of Powder Properties for Additive Manufacturing
- (2015) A. Strondl et al. JOM
- New Perspectives on Design Automation: Celebrating the 40th Anniversary of the ASME Design Automation Conference
- (2015) JOURNAL OF MECHANICAL DESIGN
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- A data-driven approach to establishing microstructure–property relationships in porous transport layers of polymer electrolyte fuel cells
- (2013) A. Çeçen et al. JOURNAL OF POWER SOURCES
- Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
- (2012) Afsaneh Jalalian et al. CLINICAL IMAGING
- NIH Image to ImageJ: 25 years of image analysis
- (2012) Caroline A Schneider et al. NATURE METHODS
- Understanding and visualizing microstructure and microstructure variance as a stochastic process
- (2011) Stephen R. Niezgoda et al. ACTA MATERIALIA
- Bayesian methods for image segmentation
- (2011) Mary Comer et al. JOM
- Microstructure informatics using higher-order statistics and efficient data-mining protocols
- (2011) Surya R. Kalidindi et al. JOM
- A review of machine learning approaches to Spam filtering
- (2009) Thiago S. Guzella et al. EXPERT SYSTEMS WITH APPLICATIONS
- Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
- (2009) Yu-Gang Jiang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle
- (2009) J. Cousty et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Visual Word Ambiguity
- (2009) Jan C van Gemert et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Object Detection with Discriminatively Trained Part-Based Models
- (2009) P F Felzenszwalb et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Delineation of the space of 2-point correlations in a composite material system
- (2008) S.R. Niezgoda et al. ACTA MATERIALIA
- Unambiguous classification of complex microstructures by their three-dimensional parameters applied to graphite in cast iron
- (2008) A. Velichko et al. ACTA MATERIALIA
- Universal and Adapted Vocabularies for Generic Visual Categorization
- (2008) F. Perronnin IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Application and further development of advanced image processing algorithms for automated analysis of serial section image data
- (2008) J P Simmons et al. MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
- A comprehensive review of current local features for computer vision
- (2008) Jing Li et al. NEUROCOMPUTING
- A new solution for automatic microstructures analysis from images based on a backpropagation artificial neural network
- (2008) Victor Hugo C. de Albuquerque et al. Nondestructive Testing and Evaluation
- Optimizing two-pass connected-component labeling algorithms
- (2008) Kesheng Wu et al. PATTERN ANALYSIS AND APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now