Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Van-Duc Le"'
Publikováno v:
IEEE Access, Vol 11, Pp 73823-73838 (2023)
Developing an end-to-end machine learning (ML) lifecycle for an ML task can be costly and time-consuming. It involves exploring multiple configurations of ML pipelines, encompassing data preparation, ML model design, training, and deployment. While a
Externí odkaz:
https://doaj.org/article/8a34ebb1431b44189f0c37aa21ca7278
Publikováno v:
IEEE Access, Vol 11, Pp 40790-40808 (2023)
Graph Neural Networks have become increasingly ubiquitous in numerous applications, necessitating explanations of their predictions. However, explaining GNNs is challenging due to the complexity of graph data and model execution. Post-hoc explanation
Externí odkaz:
https://doaj.org/article/1ec0ae15d519464483a7163b782a48c6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af302df12bdb47c5f9b4c9609fbbddf7
https://doi.org/10.1007/978-3-031-25082-8_11
https://doi.org/10.1007/978-3-031-25082-8_11
This paper applies a Spatiotemporal Graph Convolutional Recurrent Neural Network which is a tight combination of a Graph Neural Network (GNN) to a Recurrent Neural Network (RNN) architecture for air pollution forecasting in long-term for the entire c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5615c2f4d843b0146848d34668fcb203
https://doi.org/10.36227/techrxiv.14958552
https://doi.org/10.36227/techrxiv.14958552
Autor:
Van-Duc Le
Citywide Air Pollution Forecasting tries to precisely predict the air quality multiple hours ahead for the entire city. This topic is challenged since air pollution varies in a spatiotemporal manner and depends on many complicated factors. Our previo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1a6e69e4f2f434a2a12d8c19d8dd48
https://doi.org/10.36227/techrxiv.14958552.v1
https://doi.org/10.36227/techrxiv.14958552.v1
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811616846
ACIIDS (Companion)
ACIIDS (Companion)
This paper focuses on developing a social distance alert system using pose estimation for smart edge devices. Recently, with the rapid development of the Deep Learning model for computer vision, a vision-based automatic real-time warning system for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8f010e4527672f0bd64752c3ea0e49
https://doi.org/10.1007/978-981-16-1685-3_24
https://doi.org/10.1007/978-981-16-1685-3_24
Publikováno v:
BigComp
Recently, air pollution is one of the most concerns for big cities. Predicting air quality for any regions and at any time is a critical requirement of urban citizens. However, air pollution prediction for the whole city is a challenging problem. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac4f7fff128efb56a3449a02c0e0e95d
https://doi.org/10.1109/bigcomp48618.2020.00-99
https://doi.org/10.1109/bigcomp48618.2020.00-99
Autor:
Nu Xuan Thanh Le, Viet Quynh Tram Ngo, Van Duc Le, Thuyet Bao, Hai Duong Huynh, Thi Chau Anh Nguyen, Piero Cappuccinelli, Xuan Cuong Le, Hoang Bach Nguyen
Publikováno v:
Journal of Medicine and Pharmacy. :15-19
Background: The Nested IS6110 PCR is used for detecting tuberculosis, however IS6110 sequence is not present in the genome of all strains of M.tuberculosis, the result may be false negative. The gene coding 16S ribosome always contains a short sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23581d6d9656cb683df32b4c0c4cc2d6
https://doi.org/10.34071/jmp.2012.1.2
https://doi.org/10.34071/jmp.2012.1.2
Autor:
Matthew Robert Johnson, Rajesh A. Shenoy, Van-Duc Le, Jolicia F. Gauuan, Howard Roark, James M. Hamby, Cheng Guo, Peter R. Guzzo, Michael Stier, John E. Mangette
Publikováno v:
Synthetic Communications. 41:2769-2793
As part of a medicinal chemistry collaboration, a number of novel bi- and tricyclic α-amino acids were prepared through various routes and characterized by 1H nuclear Overhauser effect difference experiments. The syntheses provide a number of routes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b97d40299e3775108835562d3710e7f
https://doi.org/10.1080/00397911.2010.515354
https://doi.org/10.1080/00397911.2010.515354
Autor:
Julius J. Matasi, Stephanie Brumfield, Deen Tulshian, Michael Czarnecki, William Greenlee, Charles G. Garlisi, Hongchen Qiu, Kristine Devito, Shu-Cheng Chen, Youngliang Sun, Rosalia Bertorelli, William Geiss, Van-Duc Le, Gregory S. Martin, Samuel A. Vellekoop, James Haber, Melissa L. Allard
Publikováno v:
Bioorganic & Medicinal Chemistry Letters. 21:3805-3808
Structure-activity relationship (SAR) efforts around our initial lead compound 1 led to the identification of potent P2X(7) receptor antagonists with improved pharmacokinetic profiles. These compounds were potent and selective at the P2X(7) receptor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12eb025e3d5e21bb6c67880ae2ad4913
https://doi.org/10.1016/j.bmcl.2011.04.034
https://doi.org/10.1016/j.bmcl.2011.04.034