Zobrazeno 1 - 10
of 542
pro vyhledávání: '"Asari, Vijayan K"'
Autor:
Xie, Zhiyuan, Haritashya, Umesh K., Asari, Vijayan K., Bishop, Michael P., Kargel, Jeffrey S., Aspiras, Theus H.
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 2022
In recent decades, climate change has significantly affected glacier dynamics, resulting in mass loss and an increased risk of glacier-related hazards including supraglacial and proglacial lake development, as well as catastrophic outburst flooding.
Externí odkaz:
http://arxiv.org/abs/2204.05818
Publikováno v:
In Automation in Construction October 2024 166
3D lung segmentation is essential since it processes the volumetric information of the lungs, removes the unnecessary areas of the scan, and segments the actual area of the lungs in a 3D volume. Recently, the deep learning model, such as U-Net outper
Externí odkaz:
http://arxiv.org/abs/2105.02290
The attention mechanism provides a sequential prediction framework for learning spatial models with enhanced implicit temporal consistency. In this work, we show a systematic design (from 2D to 3D) for how conventional networks and other forms of con
Externí odkaz:
http://arxiv.org/abs/2103.03170
We present a method to learn a diverse group of object categories from an unordered point set. We propose our Pyramid Point network, which uses a dense pyramid structure instead of the traditional 'U' shape, typically seen in semantic segmentation ne
Externí odkaz:
http://arxiv.org/abs/2011.08692
Hirschsprungs disease (HD) is a birth defect which is diagnosed and managed by multiple medical specialties such as pediatric gastroenterology, surgery, radiology, and pathology. HD is characterized by absence of ganglion cells in the distal intestin
Externí odkaz:
http://arxiv.org/abs/2007.02367
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometers of area and eight object categories. Large annotated point cloud dat
Externí odkaz:
http://arxiv.org/abs/2004.11985
Autor:
Alom, Md Zahangir, Rahman, M M Shaifur, Nasrin, Mst Shamima, Taha, Tarek M., Asari, Vijayan K.
COVID-19 is currently one the most life-threatening problems around the world. The fast and accurate detection of the COVID-19 infection is essential to identify, take better decisions and ensure treatment for the patients which will help save their
Externí odkaz:
http://arxiv.org/abs/2004.03747