Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Moorthy Kohbalan"'
Autor:
Sivan, Dawn, Zafar, Saima, Rohit, R.V., R., Vipin Raj, Satheeshkumar, K., Raj, Veena, Moorthy, Kohbalan, Misnon, Izan Izwan, Ramakrishna, Seeram, Jose, Rajan
Publikováno v:
In Materials Today Sustainability December 2024 28
Akademický článek
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Autor:
Qahatan Alsudani, Mustafa, Abbdal Reflish, Salah H., Moorthy, Kohbalan, Mundher Adnan, Myasar
Publikováno v:
In Materials Today: Proceedings 2023 80 Part 3:2701-2705
Autor:
Ismael Sahib, Hussein, Qahatan AlSudani, Mustafa, Hasan Ali, Mohammed, Qassim Abbas, Haydar, Moorthy, Kohbalan, Mundher Adnan, Myasar
Publikováno v:
In Materials Today: Proceedings 2023 80 Part 3:2647-2651
Autor:
Jaber, Aws Naser1, Moorthy, Kohbalan1 kohbalan@umk.edu.my, Machap, Logenthiran2, Deris, Safaai3
Publikováno v:
Telkomnika. Apr2021, Vol. 19 Issue 2, p491-498. 8p.
Autor:
Tan, Jun Bin, Choon, Yee Wen, Moorthy, Kohbalan, Adli, Hasyiya Karimah, Remli, Muhammad Akmal, Ismail, Mohd Arfian, Ibrahim, Zuwairie, Mohamad, Mohd Saberi
Publikováno v:
International Journal of Modeling, Simulation & Scientific Computing; Aug2023, Vol. 14 Issue 4, p1-19, 19p
Autor:
Zhong, Yingna, Daud, Kauthar Mohd, Nor, Ain Najiha Binti Mohamad, Ikuesan, Richard Adeyemi, Moorthy, Kohbalan
Publikováno v:
Journal of Advanced Computational Intelligence & Intelligent Informatics; Jul2023, Vol. 27 Issue 4, p567-575, 9p
Publikováno v:
Studies in Informatics and Control. 27:191-200
Explosive growth in the volume of stored biometric data has resulted in classification and indexing becoming important operations in image database systems. A new method is presented in this paper to extract the most relevant features of iris biometr
Publikováno v:
Advanced Science Letters. 24:7433-7441
This paper does review of survey and analysis on security features and methodology on reviewing other journal papers. This survey paper was focusing on internet security threat and issues in an internet banking system in Malaysia. The security featur
Autor:
Moorthy Kohbalan, Ferda Ernawan, Hamza Mohd Azwan Mohamad, Suntharaamurthi Chandran, Osman Mohd Zamri, Ismail Mohd Arfian
Publikováno v:
Advanced Science Letters. 24:7566-7571
Gene Regulatory Network (GRN) inference aims to capture the regulatory influences between the genes and regulatory events in the GRN. Integrative Random Forest for Gene Regulatory Network Inference (iRafNet) is a RF based algorithm which provides a g