Výsledky vyhledávání

Real-time vehicle counting in complex scene for traffic flow estimation using multi-level convolutional neural network

Autor: Zulaikha Kadim, Den Fairol, Khairunnisa Mohd. Johari, Hock Woon Hon, Yuen Shang Li

Publikováno v: International Journal of Advanced Technology and Engineering Exploration. 8:338-351

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b71a260580bcb091f87ad16d1c96c0a9
https://doi.org/10.19101/ijatee.2020.762128

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Real-Time Deep-Learning Based Traffic Volume Count for High-Traffic Urban Arterial Roads

Autor: Zulaikha Kadim, Khairunnisa Mohammed Johari, Den Fairol Samaon, Yuen Shang Li, Hock Woon Hon

Publikováno v: 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE).

Traffic volume survey is important for the relevant authorities in estimating road usage and traffic trends for short and long-term traffic facilities planning and design. Commonly, the survey is done manually where the human observers have to be at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66a9d1f3b986aac28fcf4abeedbf52f9
https://doi.org/10.1109/iscaie47305.2020.9108799

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Periodical

Detecting motion-induced blur palm tree for oil palm automation in online system settings

Autor: Nakajima, Masayuki, Lau, Phooi Yee, Kim, Jae-Gon, Kubo, Hiroyuki, Chang, Chuan-Yu, Kemao, Qian, Kadim, Zulaikha, Hasan, Hasmarina, Ramli, Siti Sarah, Samaon, Den Fairol, Lee, Chia Chie, Hon, Hock Woon

Publikováno v: Proceedings of SPIE; May 2024, Vol. 13164 Issue: 1 p1316439-1316439-8

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Fuzzy c-Means Sub-Clustering with Re-sampling in Network Intrusion Detection

Autor: Den Fairol Samaon, Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam Shamsuddin

Publikováno v: IAS

Both supervised and unsupervised learning are popularly used to address the classification problem in anomaly intrusion detection. The classical and challenging task in intrusion detection is how to identify and classify new attacks or variants of no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5837e07ee73c00f965c3a1219d6022a9
https://doi.org/10.1109/ias.2009.333

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An architecture design of the intelligent agent for speech recognition and translation

Autor: E.H.M. Saaim, M.D.B. Ibrahim, Den Fairol bin Samaon, A.N.B.A. Nordin, Abdul Manan Ahmad

Publikováno v: 2004 IEEE Region 10 Conference TENCON 2004..

An architecture design of the intelligent agent for speech recognition and translation is presented in this paper. The design involves the agent architecture and the method of the agent is used. The architecture design shows the relationship between

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6955d5891365bc83e95072cc8f4cb2b1
https://doi.org/10.1109/tencon.2004.1414579

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Conference

An architecture design of the intelligent agent for speech recognition and translation.

Autor: Ahmad, A.M.B., Nordin, A.N.B.A., Saaim, E.H.M., Den Fairol bin Samaon, Ibrahim, M.D.B.

Publikováno v: 2004 IEEE Region 10 Conference TENCON 2004; 2004, p255-255, 1p

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