Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
Photo-induced force microscopy (PiFM) is a sophisticated nanoscale characterization approach that combines the elevated spatial resolution of atomic force microscopy (AFM) with infrared (IR) ...
Deciphering gene circuits can be tedious and immensely time consuming. Modifying, or designing gene circuits from previously identified pathways presents further challenges. “There are many possible ...
Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...
Abstract: Automatically detecting surface defects in prismatic battery is crucial for ensuring quality meets established standards. Traditional methods face challenges in accurately identifying these ...
An analysis using data from the National Health and Nutrition Examination Survey (NHANES) among 5,374 women of reproductive age indicates that two thirds of women within this demographic have at least ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
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