Výsledky vyhledávání - "Samsudin Khairulmizam"

Akademický článek

SVM–ELM: Pruning of Extreme Learning Machine with Support Vector Machines for Regression

Autor: Mahmood Saif F., Marhaban Mohammad H., Rokhani Fakhrul Z., Samsudin Khairulmizam, Arigbabu Olasimbo Ayodeji

Publikováno v: Journal of Intelligent Systems, Vol 25, Iss 4, Pp 555-566 (2016)

Extreme Learning Machine provides very competitive performance to other related classical predictive models for solving problems such as regression, clustering, and classification. An ELM possesses the advantage of faster computational time in both t

Externí odkaz: https://doaj.org/article/0536ceeda4f04680825e6128a0992eb8

Zobrazit plný text záznamu

Akademický článek

ASIL determination for motorbike’s Electronics Throttle Control System (ETCS) mulfunction

Autor: Rokhani Fakhrul Zaman, Abdul Rahman Muhammad Taqiuddin, Kamsani Noor Ain, Mohd Sidek Roslina, Saripan M Iqbal, Samsudin Khairulmizam, Hassan Mohd Khair

Publikováno v: EPJ Web of Conferences, Vol 162, p 01066 (2017)

Electronics Throttle Control System (ETCS) is the principal electronic unit in all fuel injection engine motorbike, augmenting the engine performance efficiency in comparison to the conventional carburetor based engine. ETCS is regarded as a safety-c

Externí odkaz: https://doaj.org/article/c92c88ec9aa143f6b0b8d26484154e5c

Zobrazit plný text záznamu

Akademický článek

Machine and Deep Learning-based XSS Detection Approaches: A Systematic Literature Review

Autor: Thajeel, Isam Kareem, Samsudin, Khairulmizam, Hashim, Shaiful Jahari, Hashim, Fazirulhisyam

Publikováno v: In Journal of King Saud University - Computer and Information Sciences July 2023 35(7)

Zobrazit plný text záznamu

Akademický článek

Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model

Autor: Kareem Thajeel, Isam, Samsudin, Khairulmizam, Jahari Hashim, Shaiful, Hashim, Fazirulhisyam

Publikováno v: In Journal of King Saud University - Computer and Information Sciences June 2023 35(6)

Zobrazit plný text záznamu

Report

Highly Available Smart Grid Control Centers through Intrusion Tolerance

Autor: Tanha, Maryam, Hashima, Fazirulhisyam, Shamalab, S., Samsudin, Khairulmizam

Societies' norms of operation relies on the proper and secure functioning of several critical infrastructures, particularly modern power grid which is also known as smart grid. Smart grid is interwoven with the information and communication technolog

Externí odkaz: http://arxiv.org/abs/1209.6228