Rubiyah Yusof
Universiti Teknologi Malaysia
221 Papers
1K Citations
Rubiyah Yusof is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Feature extraction & Artificial neural network. The author has an hindex of 28, co-authored 221 publications. Previous affiliations of Rubiyah Yusof include Islamic Azad University & University of Tokushima.
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Papers
Correction of intensity nonuniformity in breast MR images
Sepideh Yazdani,Rubiyah Yusof,Alireza Karimian,Mohsen Pashna,Amirshahram Hematian +4 more
- 01 Jan 2015
TL;DR: N3 algorithm is used for correcting the field inhomogeneity in MR images and demonstrates effectiveness and efficiency of the proposed method for quantitative analysis of breast density on MRI.
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Sepideh Yazdani,Rubiyah Yusof,Mohsen Pashna,Alireza Karimian +3 more
- 01 Jan 2015
TL;DR: An automatic hybrid image segmentation model that integrates the modified statistical expectation maximization (EM) method and the spatial information combined with Support Vector Machines (SVM) is proposed that demonstrates that the proposed technique has satisfactory results.
•Journal Article
Statistical Feature Extraction Method for Wood Species Recognition System
TL;DR: In this article, a cascaded wood species recognition system using simple statistical properties of the wood texture is presented where a total of 24 statistical features are extracted from each wood sample and then, a neural network classifier is used to refine the broad grouping into the final wood species classification.
Continuous stirred tank reactor fault detection using higher degree Cubature Kalman filter
Muhammad Naguib Ahmad Nazri,Zool Hilmi Ismail,Rubiyah Yusof +2 more
- 24 Dec 2019
TL;DR: Higher degree Cubature Kalman Filter (HDCKF) is proposed as a method for fault detection by estimation the current state of Continuous Stirred Tank Reactor (CSTR) to have better accuracy as compared to conventional CKF.
Experimental and Artificial Intelligence Modelling Study of Oil Palm Trunk Sap Fermentation
Leila Ezzatzadegan,Rubiyah Yusof,Noor Azian Morad,Parvaneh Shabanzadeh,Nur Syuhana Muda,Tohid N. Borhani +5 more
TL;DR: In this paper, a model was developed for the fermentation process based on the adaptive-network-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) to predict bioethanol production in biomass fermentation of oil palm trunk sap.