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of 58
pro vyhledávání: '"Ngo, Vuong M."'
Autor:
Ngo, Vuong M., Sood, Geetika, Kearney, Patricia, Donohue, Fionnuala, Nie, Dongyun, Roantree, Mark
The RECONNECT project addresses the fragmentation of Ireland's public healthcare systems, aiming to enhance service planning and delivery for chronic disease management. By integrating complex systems within the Health Service Executive (HSE), it pri
Externí odkaz:
http://arxiv.org/abs/2410.13880
Autor:
Nguyen, Thien-Qua T., Nguyen, Hieu-Nghia, Bui, Thanh-Hieu, Nguyen-Tat, Thien B., Ngo, Vuong M.
This research presents an enhanced approach for precise segmentation of brain tumor masses in magnetic resonance imaging (MRI) using an advanced 3D-UNet model combined with a Context Transformer (CoT). By architectural expansion CoT, the proposed mod
Externí odkaz:
http://arxiv.org/abs/2407.08470
Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for detecting objects in images and videos. Unlike Deep Learning algorithms, which typically require significant resources and expensive computing costs, it uses simp
Externí odkaz:
http://arxiv.org/abs/2405.12633
Publikováno v:
In Egyptian Informatics Journal September 2024 27
Publikováno v:
Information Retrieval Journal, Springer, 2021
The humanities, like many other areas of society, are currently undergoing major changes in the wake of digital transformation. However, in order to make collection of digitised material in this area easily accessible, we often still lack adequate se
Externí odkaz:
http://arxiv.org/abs/2103.11271
Publikováno v:
In Child Abuse & Neglect January 2024 147
Autor:
Ngo, Vuong M., Kechadi, M-Tahar
Publikováno v:
ICMLSC-2020
Nowadays, the agricultural data can be generated through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, agricultural laboratories, farmers, government agencies and agribusinesses. The
Externí odkaz:
http://arxiv.org/abs/2003.05043
Akademický článek
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Publikováno v:
BigData 2019
In recent years, precision agriculture that uses modern information and communication technologies is becoming very popular. Raw and semi-processed agricultural data are usually collected through various sources, such as: Internet of Thing (IoT), sen
Externí odkaz:
http://arxiv.org/abs/1905.12411
Autor:
Helmer, Sven, Ngo, Vuong M.
Publikováno v:
SIGIR 2015
We propose a novel approach for measuring the similarity between weaving patterns that can provide similarity-based search functionality for textile archives. We represent textile structures using hypergraphs and extract multisets of k-neighborhoods
Externí odkaz:
http://arxiv.org/abs/1810.04604