Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Hong-Hai Le"'
Publikováno v:
International Electronic Journal of Elementary Education, Vol 7, Iss 3, Pp 281-300 (2015)
In this exploratory quasi-experimental case study, we assessed the promise of a yearlong supplemental reading intervention with a small pilot group of at-risk first grade readers in an elementary school setting. Using standardized measures of reading
Externí odkaz:
https://doaj.org/article/8bf0278f56054dd9b738c95b2ca3ea86
Publikováno v:
Journal of Information and Telecommunication, Vol 2, Iss 2, Pp 147-162 (2018)
Fingerprint identification is one of the most common biometric feature problems which is used in many applications. Although state-of-the-art algorithms are very accurate, the need for fast processing a big database of millions of fingerprints is hig
Externí odkaz:
https://doaj.org/article/57e118180c8946598bfa122379571622
Autor:
Hong, Hai Le Thi1 (AUTHOR), Huu, Thinh Nguyen1 (AUTHOR), Anh, Tho Duong1 (AUTHOR), Nhat, Khanh Nguyen1 (AUTHOR), Pham Quoc, Long1 (AUTHOR), Thanh Dang, Tuan2 (AUTHOR), Nguyen, Hien1 (AUTHOR) hiennguyendhsphn@gmail.com, Van Meervelt, Luc3 (AUTHOR) hiennguyendhsphn@gmail.com
Publikováno v:
Journal of Coordination Chemistry. Feb2022, Vol. 75 Issue 3/4, p335-346. 12p.
Autor:
Thi Yen Hang Bui, Tuan Cuong Ngo, Van Co Le, Thi Da Tran, Thi Hong Hai Le, Huu Dinh Nguyen, Luc Van Meervelt, Thi Ngoc Vinh Nguyen
Publikováno v:
Journal of Fluorescence. 31:195-208
Starting from eugenol (4-allyl-2-methoxyphenol) three new quinoline derivatives, namely 5-bromo-7-(carboxymethoxy)-6-hydroxy-1-methylquinolin-1-ium-3-sulfonate (Q2, C12H10BrNO7S), 5-amino-7-(carboxymethoxy)-6-hydroxyquinolin-1-ium-3-sulfonate (Q4, C1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33a81ceec2f2dee3f3cea6db0e0529fc
https://doi.org/10.1007/s10895-020-02648-2
https://doi.org/10.1007/s10895-020-02648-2
Autor:
Hong Hai Le
Publikováno v:
Вестник Инженерной школы ДВФУ. 44:93-103
Проведена оценка влияния автомобильных и судовых транспортных потоков на общую концентрацию взвешенных частиц (РМ) в атмосферном возду
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66399a5e0c87eb1931cad601569e895a
https://doi.org/10.24866/2227-6858/2020-3-10
https://doi.org/10.24866/2227-6858/2020-3-10
Publikováno v:
Handbook of Carbon Nanotubes ISBN: 9783030913458
Handbook of Carbon Nanotubes ISBN: 9783319706146
Handbook of Carbon Nanotubes ISBN: 9783319706146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb86b623e86a14ec75339685a0e2ff7
https://doi.org/10.1007/978-3-030-91346-5_8
https://doi.org/10.1007/978-3-030-91346-5_8
Autor:
Thi Hong Hai, Le1 (AUTHOR), Thi Ngoc Vinh, Nguyen1 (AUTHOR), Thi Tuyen, Luu1 (AUTHOR), Van Meervelt, Luc2 (AUTHOR), Thi Da, Tran1 (AUTHOR) datransp2016@gmail.com
Publikováno v:
Journal of Coordination Chemistry. May2019, Vol. 72 Issue 10, p1637-1651. 15p. 7 Diagrams, 4 Charts, 2 Graphs.
Publikováno v:
Journal of Information and Telecommunication, Vol 2, Iss 2, Pp 147-162 (2018)
Fingerprint identification is one of the most common biometric feature problems which is used in many applications. Although state-of-the-art algorithms are very accurate, the need for fast processing a big database of millions of fingerprints is hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c286aa09915f33cc60515edaeeb4d512
https://doi.org/10.1080/24751839.2017.1404712
https://doi.org/10.1080/24751839.2017.1404712
Autor:
Da, Tran Thi1 (AUTHOR), Hong Hai, Le Thi1 (AUTHOR), Meervelt, Luc Van2 (AUTHOR), Dinh, Nguyen Huu1 (AUTHOR) nguyenhuudinh1954@yahoo.com
Publikováno v:
Journal of Coordination Chemistry. Oct2015, Vol. 68 Issue 19, p3525-3536. 12p. 2 Color Photographs, 3 Black and White Photographs, 3 Charts, 3 Graphs.
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319544298
ACIIDS (2)
ACIIDS (2)
Minutiae based matching, the most popular approach used in fingerprint matching algorithms, is to calculate the similarity by finding the maximum number of matched minutiae pairs in two given fingerprints. With no prior knowledge about anchor/clue to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b6c940d9e1b4df2d0ec337120dbda79
https://doi.org/10.1007/978-3-319-54430-4_20
https://doi.org/10.1007/978-3-319-54430-4_20