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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

Roberto Perera
D. Guzzetti
V. Agrawal
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
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
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
20
2
0
12 Jul 2023
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
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
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
348
15,695
0
25 Dec 2016