Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Abu Bakar Siddiqur Rahman"'
Autor:
Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander Gelbukh
As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowledge base building, machine translation, text classification, and text s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ece8ea49225f93a6f87bbf975a65786b
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030608866
MICAI (2)
Advances in Computational Intelligence
Lecture Notes in Computer Science
MICAI (2)
Advances in Computational Intelligence
Lecture Notes in Computer Science
In this paper, we extract quotations from Al Jazeera’s news articles containing keywords related to the COVID-19 pandemic. We apply Latent Dirichlet allocation (LDA), coherence measures, and clustering algorithms to unsupervisedly explore latent to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d57d7156369ae02572f14a9b0c40fca
https://doi.org/10.1007/978-3-030-60887-3_5
https://doi.org/10.1007/978-3-030-60887-3_5
Publikováno v:
IEEE Sensors Journal. 18:5761-5769
This paper presents a highly sensitive plasmonic refractive index (RI) sensor on a dual-core photonic crystal fiber (PCF). The performance of the RI sensor is weighed in terms of amplitude sensitivity, wavelength sensitivity, wavelength resolution, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ecd5421c3712233f2ffcff89b93de3
https://doi.org/10.1109/jsen.2018.2841035
https://doi.org/10.1109/jsen.2018.2841035
Publikováno v:
2017 2nd International Conference on Electrical & Electronic Engineering (ICEEE).
This paper presents a hybrid cladding structured gold coated photonic crystal fiber (PCF) biosensor based on surface plasmon resonance (SPR). The performance of the proposed biosensor is analyzed by using finite element method (FEM) based software an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faba94d20946c1c63eddb4d5b33ba776
https://doi.org/10.1109/ceee.2017.8412858
https://doi.org/10.1109/ceee.2017.8412858