Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Cao Tien"'
Autor:
Julie Viollaz, Jessica Bell Rizzolo, Barney Long, Cao Tien Trung, Josh Kempinski, Benjamin M. Rawson, Danielle Reynald, Hoang Xuan Quang, Nguyen Ngoc Hien, Cao Tien Dung, Hoang Thuong Huyen, Nguyen Thi Thuy Dung, Meredith L. Gore
Publikováno v:
Nature Conservation, Vol 48, Iss , Pp 123-147 (2022)
The notion that indigenous people and local communities can effectively prevent conservation crime rests upon the assumption that they are informal guardians of natural resources. Although informal guardianship is a concept typically applied to “tr
Externí odkaz:
https://doaj.org/article/f891f9a0671f465a9db5cf92b74b6795
Autor:
Nguyen Quoc Khuong, Le Vinh Thuc, Cao Tien Giang, Ly Ngoc Thanh Xuan, Le Thi My Thu, Akagi Isao, Sakagami Jun-Ichi
Publikováno v:
The Scientific World Journal, Vol 2023 (2023)
The aim of the current research was to evaluate the effects of members of purple nonsulfur bacteria (PNSB), Rhodopseudomonas palustris strains of VNW02, TLS06, VNW64, and VNS89, mixed with spent rice straw (SRS) from mushroom cultivation as a carrier
Externí odkaz:
https://doaj.org/article/a3ef7155f1de49eba0ea24a82ff99dc4
Publikováno v:
Journal of Science: Advanced Materials and Devices, Vol 6, Iss 1, Pp 27-32 (2021)
Iron oxide nanostructures have been studied extensively because of their excellent magnetic, optical, electrical, and catalytic properties. This work introduces a simple process to synthesize directly bi-phase α-/γ-Fe2O3 submicron flowers on a Fe f
Externí odkaz:
https://doaj.org/article/bed58933fdc643eba2c56db42091aecc
Publikováno v:
Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên, Vol 128, Iss 1C, Pp 25-33 (2019)
Kết quả phân tích sinh học phân tử dựa trên trình tự gen ti thể 16S rRNA lấy từ mẫu cơ đuôi của nòng nọc Quasipaa delacouri ở Vườn Quốc gia Pù Mát, tỉnh Nghệ An có sự tương đồng 100% khi so sánh
Externí odkaz:
https://doaj.org/article/8338813ff06340d3a0098f9046da26a7
In federated learning, the models can be trained synchronously or asynchronously. Many research works have focused on developing an aggregation method for the server to aggregate multiple local models into the global model with improved performance.
Externí odkaz:
http://arxiv.org/abs/2403.01417
Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. However, the training of GANs is empirically well-known for being highly u
Externí odkaz:
http://arxiv.org/abs/2110.11293
Publikováno v:
Journal of Systems Architecture, vol. 124, March 2022
Deep learning has achieved great success in many applications. However, its deployment in practice has been hurdled by two issues: the privacy of data that has to be aggregated centrally for model training and high communication overhead due to trans
Externí odkaz:
http://arxiv.org/abs/2001.09782
Publikováno v:
In Journal of Systems Architecture March 2022 124
Akademický článek
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Autor:
Hien, Vu Xuan, Nhat, Dang Duc, Nghi, Nguyen Thanh, Phuoc, Luong Huu, Khoa, Cao Tien, Vuong, Dang Duc, Chien, Nguyen Duc
Publikováno v:
In Materials Science in Semiconductor Processing May 2021 126