The work addresses a gap in biometric testing, as NIST’s IREX has focused primarily on closed-source commercial iris ...
Abstract: An unusual mass of tissue in which some cells multiplies and grows uncontrollably is called brain tumor. It starts growing inside the skull and interpose with the regular functioning of the ...
I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...
Superpixel segmentation algorithms constitute a crucial advancement in image processing and computer vision, wherein images are partitioned into perceptually meaningful regions with homogenous ...
ABSTRACT: An aerial photographic coverage acquired on two consecutive days in October 2021 with a ground resolution of 20 cm and a spectral resolution of 4 bands (red, green, blue and near infrared), ...
In January, I tapped on the “explore” page of my Instagram account and was greeted with a flood of food-related posts. Fruit had too much sugar to be healthy. You should switch out buns for lettuce on ...
Abstract: Image edge extraction and recognition has great significance to measurement accuracy of various workpieces and parts. In order to solve the distortion problem caused by camera shooting, ...
At the same time, the history of European colonialism on the continent has led to blocks of African nations sharing similar colonial and post-colonial infrastructures, sometimes necessitating the ...
An algoritm based on one-class classification to automatically segment neurons (bright tubular structures). The metodology is described in the papers: Hernandez-Herrera, P., Papadakis, M., & ...
Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and ...
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