Zobrazeno 1 - 10 of 41 pro vyhledávání: '"Yew Kwang Hooi"'
1
Akademický článek
CTMF: Context-Aware Trust Management Framework for Internet of Vehicles
Autor: Abdul Rehman, Mohd Fadzil Hassan, Yew Kwang Hooi, Muhammad Aasim Qureshi, Saurabh Shukla, Erwin Susanto, Saddaf Rubab, Abdel-Haleem Abdel-Aty
Publikováno v: IEEE Access, Vol 10, Pp 73685-73701 (2022)
Secure communication is the top concern of the Internet of Vehicles (IoV). The trust between nodes can have a considerable impact on ensuring IoV security. Therefore, the trustworthiness of a received message must be evaluated before acting upon it.
Externí odkaz: https://doaj.org/article/a3d8e45d23f3481890422b79dcb7f51a
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2
Akademický článek
A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach
Autor: Hina Bhanbhro, Yew Kwang Hooi, Worapan Kusakunniran, Zaira Hassan Amur
Publikováno v: Applied Sciences, Vol 13, Iss 15, p 8816 (2023)
In numerous electrical power distribution systems and other engineering contexts, single-line diagrams (SLDs) are frequently used. The importance of digitizing these images is growing. This is primarily because better engineering practices are requir
Externí odkaz: https://doaj.org/article/d8f4084cb8af4543826da589c01a89ef
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3
Akademický článek
Unlocking the Potential of Keyword Extraction: The Need for Access to High-Quality Datasets
Autor: Zaira Hassan Amur, Yew Kwang Hooi, Gul Muhammad Soomro, Hina Bhanbhro, Said Karyem, Najamudin Sohu
Publikováno v: Applied Sciences, Vol 13, Iss 12, p 7228 (2023)
Keyword extraction is a critical task that enables various applications, including text classification, sentiment analysis, and information retrieval. However, the lack of a suitable dataset for semantic analysis of keyword extraction remains a serio
Externí odkaz: https://doaj.org/article/e07c3e3157d14e248c112ce0961ee2b8
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4
Akademický článek
Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
Autor: Zaira Hassan Amur, Yew Kwang Hooi, Hina Bhanbhro, Kamran Dahri, Gul Muhammad Soomro
Publikováno v: Applied Sciences, Vol 13, Iss 6, p 3911 (2023)
In natural language processing, short-text semantic similarity (STSS) is a very prominent field. It has a significant impact on a broad range of applications, such as question–answering systems, information retrieval, entity recognition, text analy
Externí odkaz: https://doaj.org/article/ef3b48695bc54a1cadc91bb60c7e0df5
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5
Unlocking the Potential of Keyword Extraction: The Need for Access to High-Quality Datasets
Autor: Sohu, Zaira Hassan Amur, Yew Kwang Hooi, Gul Muhammad Soomro, Hina Bhanbhro, Said Karyem, Najamudin
Publikováno v: Applied Sciences; Volume 13; Issue 12; Pages: 7228
Keyword extraction is a critical task that enables various applications, including text classification, sentiment analysis, and information retrieval. However, the lack of a suitable dataset for semantic analysis of keyword extraction remains a serio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::247bb4b20e19b41afeb36e926e3efeb1
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8
Context and Machine Learning Based Trust Management Framework for Internet of Vehicles
Autor: Abdul Rehman, Tran Duc Chung, Yew Kwang Hooi, Mohd Fadzil Hassan, Rehan Akbar, Sohail Safdar, Muhammad Aasim Qureshi
Publikováno v: Computers, Materials & Continua. 68:4125-4142
Trust is one of the core components of any ad hoc network security system. Trust management (TM) has always been a challenging issue in a vehicular network. One such developing network is the Internet of vehicles (IoV), which is expected to be an ess
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29d506ae024452c4b0be981e4e08e093
https://doi.org/10.32604/cmc.2021.017620
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