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A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks.

Autor: Son, Hoang Hai, Tinh, Vo Phuc, Dang, Duc Ngoc Minh, Duyen, Bui Thi, Le, Duy-Dong, Dang, Thai-Thinh, Nguyen, Quoc-Hung, Pham, Thanh-Qui, Nguyen, Van-Luong, Khoa, Tran Anh, Hoang Nam, Nguyen

Publikováno v: Journal of Information & Telecommunication; Mar2024, Vol. 8 Issue 1, p1-17, 17p

Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs.

Autor: Nguyen, Phuc-Thinh, Dao, Minh-Son, Riegler, Michael A., Kiran, Rage Uday, Dang, Thai-Thinh, Le, Duy-Dong, Nguyen-Ly, Kieu-Chinh, Pham, Thanh-Qui, Nguyen, Van-Luong

Publikováno v: Algorithms; Jan2023, Vol. 16 Issue 1, p30, 14p

Modeling Transmission Rate of COVID-19 in Regional Countries to Forecast Newly Infected Cases in a Nation by the Deep Learning Method

Autor: Le Duy Dong, Phan Trung Hieu, Dinh Tuan Le, Vu Thanh Hien, Mai Viet Tiep, Phu Phuoc Huy, Vu Thanh Nguyen

Publikováno v: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications ISBN: 9789811680618
FDSE (CCIS Volume)

This paper presents a deep learning approach to predict new COVID-19 infected cases in a specific country with insufficient data at the onset of the outbreak. We collected data on daily new confirmed cases in several countries of the region where COV

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b309cb17e059764637329048599de99f
https://doi.org/10.1007/978-981-16-8062-5_28