Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Charles Roland Haruna"'
Autor:
Charles Roland Haruna, Mengshu Hou, Rui Xi, Moses Jojo Eghan, Michael Y. Kpiebaareh, lawrence Tandoh, Barbie Eghan-Yartel, Maame G. Asante-Mensah
Publikováno v:
IEEE Access, Vol 7, Pp 77426-77435 (2019)
In this paper, we present an extension on a hybrid-based deduplication technique in entity reconciliation (ER), by proposing an algorithm that builds clusters upon receiving a pre-specified K number of clusters, and second developing a crowd-based pr
Externí odkaz:
https://doaj.org/article/192fa2919cd245a0b90f58195758281a
Autor:
Alexander Asante, Charles Roland Haruna, Hamza Umar, Augustine Kofi Blewudzi, Lawrence Ephrim
Publikováno v:
International Journal of Computer Applications. 183:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae46bbff4ada76265e4cbb77018918e2
https://doi.org/10.5120/ijca2022921929
https://doi.org/10.5120/ijca2022921929
Publikováno v:
International Journal of Computer Applications. 183:1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc709494f8747acc780822d2c82bae1
https://doi.org/10.5120/ijca2022921928
https://doi.org/10.5120/ijca2022921928
Autor:
Yunbo Rao, Obed Tettey Nartey, Shaoning Zeng, Kingsley Nketiah Acheampong, Charles Roland Haruna, Jianxun Sun
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38c02eeccfffacc6a1861aa0a6a25eb5
https://doi.org/10.1109/bibm55620.2022.9995297
https://doi.org/10.1109/bibm55620.2022.9995297
Autor:
Lawrence Tandoh, Fagen Li, Ikram Ali, Charles Roland Haruna, Michael Y. Kpiebaareh, Christopher Tandoh
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811905223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db28145621e484147dbd9aa1a9aaca3
https://doi.org/10.1007/978-981-19-0523-0_12
https://doi.org/10.1007/978-981-19-0523-0_12
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811984440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157e8ed3b1f1d82fdb95e62d42c1b6ad
https://doi.org/10.1007/978-981-19-8445-7_13
https://doi.org/10.1007/978-981-19-8445-7_13
Autor:
Evans Ankomah, Charles Roland Haruna, Francis Xavier Kofi Akotoye, Brighter Agyemang, Kwame Opuni-Boachie Obour Agyekum, Alexander Asante, Lawrence Ephrim, Alexander N. T. Kissiedu
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811984440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::132101b24a2f7e6dc6525f185ffdf984
https://doi.org/10.1007/978-981-19-8445-7_22
https://doi.org/10.1007/978-981-19-8445-7_22
Autor:
Rui Xi, Lawrence Tandoh, Michael Y. Kpiebaareh, Moses J. Eghan, Maame G. Asante-Mensah, Mengshu Hou, Charles Roland Haruna, Barbie Eghan-Yartel
Publikováno v:
IEEE Access, Vol 7, Pp 77426-77435 (2019)
In this paper, we present an extension on a hybrid-based deduplication technique in entity reconciliation (ER), by proposing an algorithm that builds clusters upon receiving a pre-specified K number of clusters, and second developing a crowd-based pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70cb1cf6767795ca46da3b5b45c46fd3
https://doi.org/10.1109/access.2019.2920667
https://doi.org/10.1109/access.2019.2920667
Autor:
Wei-Ping Wu, Brighter Agyemang, Michael Y. Kpiebaareh, Daniel Addo, Charles Roland Haruna, Ebenezer Nanor
Publikováno v:
Briefings in Bioinformatics.
The size and quality of chemical libraries to the drug discovery pipeline are crucial for developing new drugs or repurposing existing drugs. Existing techniques such as combinatorial organic synthesis and high-throughput screening usually make the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4f351a73976d0ee9945e9a52368acbe
https://doi.org/10.1093/bib/bbaa364
https://doi.org/10.1093/bib/bbaa364
Publikováno v:
IEEE Access, Vol 6, Pp 53381-53396 (2018)
Providing accurate information on people's activities and behaviors plays an important role in innumerable applications, such as medical, security, and entertainment. In recent years, deep learning has been applied in human activity recognition, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3fbf7188350a4c50adbb12b138734c8
https://doi.org/10.1109/access.2018.2870841
https://doi.org/10.1109/access.2018.2870841