Optimized 3D segmentation algorithm for shelly sand images

Conference proceeding

Joana Fonseca, Antonio Leonti, Iren Valova, Ryan Beemer, Cannistraro D, Cynthia Pilskaln, S DeFlorio and G Kelly

Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Sciences, pp.CIST 107-1-CIST 107-8

World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’20), 6

08/2020

Abstract

Deep Learning

Electrical Engineering

Computer Systems

Computer Science

Machine Learning

url

https://avestia.com/EECSS2020_Proceedings/files/paper/CIST/CIST_107.pdfView

1 Record Views

Title: Optimized 3D segmentation algorithm for shelly sand images
Creators: Joana Fonseca - City, University of London
Antonio Leonti - University of Massachusetts Dartmouth
Iren Valova - University of Massachusetts Dartmouth, College of Engineering
Ryan Beemer - University of Massachusetts Dartmouth
Cannistraro D
Cynthia Pilskaln - University of Massachusetts Dartmouth, Department of Estuarine and Ocean Sciences
S DeFlorio
G Kelly
Publication Details: Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Sciences, pp.CIST 107-1-CIST 107-8
Conference: World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’20), 6
Academic Unit: College of Engineering; Department of Estuarine and Ocean Sciences
Language: English
Resource Type: Conference proceeding
DOI: https://doi.org/10.11159/cist20.107
Record Identifier: 9914525100801301