Optimized and autonomous machine learning framework for characterizing
pores, particles, grains and grain boundaries in microstructural images

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Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images

16 January 2021

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Papers citing "Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images"

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Title
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis Prateek Verma Minh-Hao Van Xintao Wu VLM 78 4 0 01 May 2024
Grain and Grain Boundary Segmentation using Machine Learning with Real and Generated Datasets P. Warren N. Raju Abhilash Prasad Shajahan Hossain Ramesh Subramanian J. Kapat N. Manjooran Hossein Ebrahimi 18 2 0 12 Jul 2023
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks Roberto Perera V. Agrawal AI4CE 37 11 0 22 Nov 2022
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 342 15,687 0 25 Dec 2016