Zobrazeno 1 - 10
of 922
pro vyhledávání: '"Tuan A Duong"'
Security at the physical layer (PHY) is a salient research topic in wireless systems, and machine learning (ML) is emerging as a powerful tool for providing new data-driven security solutions. Therefore, the application of ML techniques to the PHY se
Externí odkaz:
http://arxiv.org/abs/2305.09748
Autor:
Janneke Aylward, Andi M. Wilson, Cobus M. Visagie, Joseph Spraker, Irene Barnes, Carla Buitendag, Callin Ceriani, Lina Del Mar Angel, Deanné du Plessis, Taygen Fuchs, Katharina Gasser, Daniella Krämer, WenWen Li, Kiara Munsamy, Anja Piso, Jenna-Lee Price, Byron Sonnekus, Chanel Thomas, Ariska van der Nest, Alida van Dijk, Alishia van Heerden, Nicole van Vuuren, Neriman Yilmaz, Tuan A. Duong, Nicolaas A. van der Merwe, Michael J. Wingfield, Brenda D. Wingfield
Publikováno v:
IMA Fungus, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract The pace at which Next Generation Sequence data is being produced continues to accelerate as technology improves. As a result, such data are increasingly becoming accessible to biologists outside of the field of bioinformatics. In contrast,
Externí odkaz:
https://doaj.org/article/1453c6ac8d9d4c128e3f89b7bc488b1d
Universal Domain Adaptation (UniDA) aims to transfer knowledge from a source domain to a target domain without any constraints on label sets. Since both domains may hold private classes, identifying target common samples for domain alignment is an es
Externí odkaz:
http://arxiv.org/abs/2210.17067
The idea of embedding optimization problems into deep neural networks as optimization layers to encode constraints and inductive priors has taken hold in recent years. Most existing methods focus on implicitly differentiating Karush-Kuhn-Tucker (KKT)
Externí odkaz:
http://arxiv.org/abs/2210.01802
Publikováno v:
JGH Open, Vol 8, Iss 6, Pp n/a-n/a (2024)
Abstract Background and Aim According to the European Society of Gastrointestinal Endoscopy (ESGE), gastroscopy should be conducted within 6 h for complete obstruction and 24 h for incomplete obstruction due to food bolus impaction. This study explor
Externí odkaz:
https://doaj.org/article/c1084e92290e4b728988221d51077473
Autor:
Cobus M. Visagie, Donato Magistà, Massimo Ferrara, Felipe Balocchi, Tuan A. Duong, Ales Eichmeier, David Gramaje, Janneke Aylward, Scott E. Baker, Irene Barnes, Sara Calhoun, Maria De Angelis, Jens C. Frisvad, Eliska Hakalova, Richard D. Hayes, Jos Houbraken, Igor V. Grigoriev, Kurt LaButti, Catarina Leal, Anna Lipzen, Vivian Ng, Jasmyn Pangilinan, Jakub Pecenka, Giancarlo Perrone, Anja Piso, Emily Savage, Milan Spetik, Michael J. Wingfield, Yu Zhang, Brenda D. Wingfield
Publikováno v:
IMA Fungus, Vol 14, Iss 1, Pp 1-31 (2023)
Externí odkaz:
https://doaj.org/article/81319217841d4ca5986f9ebe354feb4b
Publikováno v:
Phytopathology Research, Vol 5, Iss 1, Pp 1-13 (2023)
Abstract Calonectria leaf blight (CLB) is one of the most important diseases of Eucalyptus trees grown in plantations. This disease poses a serious threat to the sustainability of Eucalyptus plantations in southern China. To better understand the cau
Externí odkaz:
https://doaj.org/article/6b700d7be05b40b183daf2052dc954d7
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract Background Plant-parasitic nematodes (PPNs) that cause most damage include root-knot nematodes (RKNs) which are a major impediment to crop production. Root-knot nematodes, like other parasites, secrete proteins which are required for parasit
Externí odkaz:
https://doaj.org/article/4aad0b9e2e0f47ee9652440ca09e72d7
Autor:
Huyen Thi Thanh Nguyen, Johan Wens, Giannoula Tsakitzidis, Martin Valcke, Hoa Thi Nguyen, Tuan Quang Duong, Cuc Thi Nguyen, Dao Anh Hoang, Yen Thi Bach Hoang, Lan Thi Ngoc Duong, Hung Van Nguyen, Thanh Viet Truong, Huy Vu Quoc Nguyen, Tam Minh Nguyen
Publikováno v:
PLoS ONE, Vol 19, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/808513d301f24700ae6cf738a126e743
Autor:
Hoang, Tiep M., Duong, Trung Q., Tuan, Hoang Duong, Lambotharan, Sangarapillai, Garcia-Palacios, Emi, Nguyen, Long D.
This paper presents a framework for converting wireless signals into structured datasets, which can be fed into machine learning algorithms for the detection of active eavesdropping attacks at the physical layer. More specifically, a wireless communi
Externí odkaz:
http://arxiv.org/abs/2003.01048