Noor Elaiza Abdul Khalid

Noor Elaiza Abdul Khalid
Universiti Teknologi MARA | UiTM · Centre for Computer Science Studies

PhD

About

84
Publications
18,994
Reads
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641
Citations
Citations since 2016
18 Research Items
440 Citations
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
Additional affiliations
January 2008 - present
Universiti Teknologi MARA
Position
  • Universiti Teknologi MARA Malaysia

Publications

Publications (84)
Article
Skull stripping refers to a classification process which separates the brain image elements into two rigid classes which are brain and non-brain. It is highly demanded due to its major significance in both medical and image processing fields. Yet, the complexity of images, time-consuming and prone to human errors of the manual skull stripping prese...
Article
Sharing nature of wireless medium provides various challenging features among various group of users. This is one of various services offered by Wireless Local Area Network (WLAN). In addition, due to popularity of WLANs, user experience suffer from various security threats especially jamming based Denial-of-Service (DoS) attack. The attacks are fo...
Article
Full-text available
Star Coordinate (SC) is a circular visualization technique that maps k-dimensional data. Its interactive features allow user to manipulate projections to search for hidden information. Without prior knowledge of relationship between dimensions users will be blindly searching for clusters. This paper proposes dimension rearrangement using Euclidean...
Article
Full-text available
Identification of features in correct alphabet stroke formation is a primary factor in acknowledging handwriting legibility. Hit–or-Miss transform is a morphology operator that is often applied to identify geometric features. Identifying the correct structuring elements (SEs) provides a good geometric feature extraction. Therefore this research pro...
Article
Full-text available
Cases of misdiagnosis and variability evaluation among the dentists do happen. The complexity of anatomical structures and the low contrast of the original images are factors that contribute to the problems. Image enhancement is often used to enhance medical images. However, currently limited work has been done in enhancing the dental pathological...
Article
Full-text available
The nature of MANETs such as open medium, dynamic mobility and lack of security makes it susceptible to a range of attacks. Jamming attacks is recorded as the highest occurring attacks that exist at physical and MAC layers in MANET. Therefore, an integrated combined layer algorithm (ICLA) is proposed using reverse engineering and anomaly detection...
Article
One of the drawbacks of MapReduce characteristic is overlap communication. It causes implementation inefficiency in the GPUs environment. However, this can be overcome using incremental reduction method. This method will enhance the communication process on GPUs environment as an alternative to execution using CPU. This enhancement is based on Pyth...
Conference Paper
Self-organizing Map (SOM) is a very popular algorithm that has been used as clustering algorithm and data exploration. SOM consists of complex calculations where the calculation of complexity depending on the circumstances. Many researchers have managed to improve online SOM processing speed using discrete Graphic Processing Units (GPU). In spite o...
Article
Self-organizing map (SOM) is a very well-known and successfully clustering algorithm and data exploration. The SOM has a natural learning ability that able to constantly update information in order to improve the final results. The SOM algorithm consists of steps such as initialize neuron weights, find best matching unit (BMU), and update the weigh...
Article
Full-text available
Background: Self-organizing map (SOM) is a very popular algorithm that has been used as clustering algorithm and data exploration. The SOM consists of complex calculations where the calculation of complexity depending on the circumstances. Many researchers successfully improve SOM processing speed using discrete graphic processing units (GPUs) sinc...
Chapter
Parallel implementation of Self-organizing Map (SOM) has been studied since last decade. Graphic Processing Unit (GPU) is one of most promising architecture for executing SOM in parallel. However, there are performances issues are highlighted when imposing larger mapping and dataset size onto parallel SOM that executed on the GPU. Alternatively, he...
Article
Full-text available
Presently, the issue of processing large data on a timely manner poses as a challenge to many ICT researchers. Most commodity computers are interconnected in a network forming a cluster computing resource simulating a super computer. This paper explores heuristically the performance of homogeneous, heterogeneous and multi-core clusters. This work c...
Article
Full-text available
Evolutionary algorithm is one of the algorithms inspired by the nature. Within little more than a decade hundreds of papers have reported successful applications of EAs. In this paper, the Selfish Gene Algorithms (SFGA), as one of the latest evolutionary algorithms (EAs) inspired from the Selfish Gene Theory which is an interpretation of Darwinian...
Conference Paper
Evaluation of Latin handwriting alphabet stroke formation is a very tedious and time consuming. This task is usually dependent on experts' subjective evaluation based on handwriting legibility criteria. This paper proposes to evaluate the correctness of stroke formation from letter decomposition. Only six complex straight line alphabet explicitly L...
Conference Paper
Handwriting disability is one type of learning disability that is difficult to be detected as it may requires experts and professionals to diagnose. Owing to this matter, a computerized character recognition application is very much in need to ease the process of detecting children with learning disability based on handwriting. For any character re...
Conference Paper
Affect has become imperative in product quality. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysis and inter...
Conference Paper
Urban growth pattern can be categorized as either infill, expansion or outlying. Studies on urban growth classification are focusing on the description of urban growth pattern geometric features using conventional landscape metrics. These metrics are too simple and unable to give detailed information on accuracy of the classification methods. This...
Conference Paper
Full-text available
The research proposes a selfish gene image segmentation algorithm as an alternative to Genetic Algorithm. Research in Genetic Algorithms originated from Darwin’s theory faced the problem of finding the optimal solution due to its inherent characteristic of genetic drift and premature convergence. Selfish gene views genes as the basic unit in evolut...
Conference Paper
Full-text available
Background: The advancement of modern and scientific technology has led to dataset growing in both size and complexity, exposing the need for more efficient and effective way of visualizing and analyzing data. Current software architecture, management and analysis approaches are unable to cope with the flood of data Problem: Despites, the amount o...
Conference Paper
Medical images, such as dental radiographs, suffer of low contrasts and noise which make it difficult to identify disease characteristics. This work utilizes the variation of Adaptive Histogram Equalization (AHE) towards enhancing the intra-oral dental radiograph. The algorithms used are AHE, Contrast Limited Adaptive Histogram Equalization (CLAHE)...
Article
Due to the information technology which is rapidly developing, digital content is becoming increasingly difficult to handle. This include images that are kept on digital cameras, CCTV and medical scanners. Areas such as medical and forensic science are using these databases to do critical tasks which include diagnosing of diseases or identification...
Chapter
Image databases have been a significant part of systems or applications in many fields including education, forensics and medical sciences. However, due to the increase in the number of digital resources especially images, the demand to manage these databases such as storing and retrieving the images effectively and efficiently from these databases...
Research
Urban growth pattern can be categorized as either infill, expansion or outlying. Studies on urban growth classification are focusing on the description of urban growth pattern geometric features using conventional landscape metrics. These metrics are too simple and unable to give detailed information on accuracy of the classification methods. This...
Article
Full-text available
Abstract The twenty first century sees the tremendous advancement of computer and machine technologies that are able to produce ginormous amout of data. Current software architecture, management and analysis approaches are unable to cope with the flood of data. The challenge of understanding large and complex data includes issues such as clutter, p...
Article
Full-text available
Abstract This paper proposed the deployment of dilation and erosion with Fuzzy c-Means (FCM) as an effective optic cup and disc segmentation. The cheapest way to monitor glaucoma disease is using digital fundus camera. These images are stored in RGB format which can be split into red, green and blue channels. Previous work has identified green chan...
Article
Hepatocellular Carcinoma is the most common type of liver cancer having a strong relation with cirrhosis. Undoubtedly, cirrhosis may be caused by the virus infection of hepatitis B (HBV) and hapatitis C (HBC) or through alchoholism. However, even when cirrhosis has not been developed, patients with hepatitis viral infections are still at the risk o...
Conference Paper
Full-text available
Sophisticated consumers and highly competitive environment has forced designers and manufacturers to realize the importance of consumer emotion in creative product design. Kansei Engineering (KE) is a technology that enables discovery of consumer's emotions when interacting with a product and use them to formulate a guide in designing products that...
Article
Content Based Image Retrieval (CBIR) is an active research area in multimedia domain in this era of information technology. One of the challenges of CBIR is to bridge the gap between low level features and high level semantic. In this study we investigate the Particle Swarm Optimization (PSO), a stochastic algorithm and Genetic Algorithm (GA) for C...
Article
Rapid development of multimedia technologies made Content Based Image Retrieval (CBIR) an energetic research area for the researchers of multimedia domain. Texture and color features have been the primal descriptors for images in the field of CBIR. This paper proposed a new CBIR system by combining the both color and texture features. Color Layout...
Article
Full-text available
Particle swarm optimization (PSO) is a stochastic algorithm used for the optimization problems proposed by Kennedy [1] in 1995. It is a very good technique for the optimization problems. But still there is a drawback in the PSO is that it stuck in the local minima. To improve the performance of PSO, the researchers proposed the different variants o...
Conference Paper
Full-text available
Genetic algorithm (GA) is an algorithm that models inspiration from natural evolution to solve complex problems. GA is renowned for its ability to optimize different types of problem. However, the performance of GA necessitates data and process intensive computing when incorporating large population. This research proposes and evaluates the perform...
Conference Paper
Full-text available
Skull stripping is the process of isolating brain from non-brain tissues. It supplies major significance in both medical and image processing fields. Nevertheless, the manual process of skull stripping is challenging due to the complexity of images, time consuming and prone to human errors. This paper proposes a qualitative analysis of skull stripp...
Conference Paper
Full-text available
Task-intensive applications are synonymous with today's computing era. Large amount of computing resource is required in order to process such applications. Therefore, running task-intensive applications via off-the-shelf personal computer (PC) will lead to long execution time. Parallel processing via MapReduce generates more computing resources by...
Conference Paper
This paper presents a new solution for solving continuous inventory problem in estimating the amount of purchase item and prediction on the maximization of profit in a restaurant. Particle swarm optimization (PSO) which has the ability of better convergence and efficiency is employed. The solution focuses on a single item in inventory list and sing...
Conference Paper
This study focuses on the identification of dental abnormalities in intra-oral dental radiographs. The abnormalities of interest are periapical radiolucency (PA), widen periodontal ligament space (widen PDLs) and Loss of Lamina Dura (Loss of LD). The intra-oral dental radiographs usually have poor image quality due to the acquisition processes as w...
Article
In the medical diagnosis and treatment planning, radiologists and surgeons rely heavily on the slices produced by medical imaging devices. Unfortunately, these image scanners could only present the 3-D human anatomical structure in 2-D. Traditionally, this requires medical professional concerned to study and analyze the 2-D images based on their ex...
Conference Paper
Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup t...
Article
Full-text available
Consumers’ emotion has become imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysi...
Chapter
Full-text available
Skull stripping isolates brain from the non-brain tissues. It supplies major significance in medical and image processing fields. Nevertheless, the manual process of skull stripping is challenging due to the complexity of images, time consuming and prone to human errors. This paper proposes a qualitative analysis of skull stripping accuracy for Mag...
Conference Paper
Full-text available
Glaucoma diagnosis involves extracting three features of the fundus image; optic cup, optic disc and vernacular. Present manual diagnosis is expensive, tedious and time consuming. A number of researches have been conducted to automate this process. However, the variability between the diagnostic capability of an automated system and ophthalmologist...
Article
Full-text available
The rapid development in information technology has immensely contributed to the use of modern approaches for visualizing volumetric data. Consequently, medical volume visualization is increasingly attracting attention towards achieving an effective visualization algorithm for medical diagnosis and pre-treatment planning. Previously, research has b...
Article
CT and MRI scans are widely used in medical diagnosis procedures, but they only produce 2-D images. However, the human anatomical structure, the abnormalities, tumors, tissues and organs are in 3-D. 2-D images from these devices are difficult to interpret because they only show cross-sectional views of the human structure. Consequently, such circum...
Conference Paper
Particle swarm optimization (PSO) is a stochastic algorithm, used for the optimization problems, proposed by Kennedy [1] in 1995. PSO is a recognized algorithm for optimization problems, but suffers from premature convergence. This paper presents an Opposition-based PSO (OPSO) to accelerate the convergence of PSO and at the same time, avoid early c...
Conference Paper
Cancer is the fourth leading cause of death among medically certified deaths in Malaysia. The most reliable diagnostic method to diagnose gastric adenocarcinoma is by inspecting the microscopic images of samples obtained through biopsy. These images are analyses by pathologist to identify the presence of cancer. However the process is time consumin...
Conference Paper
Full-text available
This paper presents a Linear-Particle Swarm Optimization (PSO) algorithm for discovering motifs in DNA sequences, and the strengths and weaknesses of using the Linear-PSO for discovering motifs of DNA sequences will be discussed. For the experiment, ten DNA sequences from an online database were used as an input for the algorithms. Linear-PSO uses...
Conference Paper
Image quality plays an important role in assisting dentists' diagnosis ability. However, noise that come from the nature of image acquisition processes degrades image quality in radiographs. Advancement in image processing has leads many researches toward the enhancement of medical images for more accurate medical expert interpretation. This paper...
Conference Paper
Microarray has been used as an important tool for monitoring gene expression levels. Through microarray analysis, gene expression levels can be obtained and the biology of a disease can be identified based on the obtained result. Hence, the therapeutic drugs to treat the disease can be decided. However, analysing microarray images are complicated b...
Conference Paper
Full-text available
Large data and information processing requires high processing power that usually involve supercomputers which are costly. MapReduce parallel framework introduces an automated way of distributing these large processes to many computers. This paper proposes to conduct preliminary studies on scalability using MapReduce as an automated parallel proces...
Conference Paper
Executing large task on a single machine requires CPU to have high processing power. In present environment, most machines are interconnected in a cluster and they are often underutilized. This paper explores heuristically the performance of homogeneous, heterogeneous and multi-core clusters. This work consists of three experiments: Equal task part...
Conference Paper
Launching jamming attacks is trivial but detecting and classifying attacks are more difficult especially in Wireless Networks. This is due to the open nature of this medium that leaves it vulnerable to multiple security threats. Anyone with a transceiver can launch jamming based DoS attacks on wireless transmissions, inject spurious messages, or ja...
Article
Segmentation remains one of the most challenging problems in medical imaging due to the low contrast of images. Segmentation of Magnetic Resonance Imaging (MRI) images is an important part of brain imaging research. Segmentation can facilitate the diagnosis of neurological diseases. This paper compares the performances of Particle Swarm Optimizatio...
Conference Paper
Full-text available
Electrical Discharge Machine (EDM) is one of the engineering machineries which is widely used in manufacturing mould, die, automotive, aerospace and surgery components. EDM performance was measured in the output performance using factors such as Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR). The process also depends o...
Conference Paper
Full-text available
Segmentation of Magnetic Resonance Imaging (MRI) images is the most challenging problems in medical imaging. This paper contrasts the performances of Adaptive Network-Based Fuzzy Inference System (ANFIS), k-Nearest Neighbors (k-NN) and Fuzzy c-Means (FCM) in brain abnormalities segmentation. Preliminary data analysis is performed to analyze the cha...
Conference Paper
Full-text available
Segmentation poses one of the most challenging problems in medical imaging. Segmentation of Magnetic Resonance Imaging (MRI) images is an important part of brain imaging research as it can facilitates the neurological diseases diagnosis. However, there are few limitations in evaluating the segmentation accuracy due to difficulties in obtaining the...
Conference Paper
Full-text available
This paper presents an analysis on the contrast enhancement function combined with sharpening filter applied on digital Intra-oral dental radiographs images. Intra-oral dental radiograph is a common medium used in dentistry to examine gum related diseases. Due to the fact that radiograph images usually are noisy and low in contrast, research relate...
Conference Paper
Full-text available
This paper presents the parallel multicore Sobel edge algorithm which parallelizes the traditional sequential Sobel edge detection algorithm on a parallel multicore platform. The current advancement of multicore architecture can be utilized by the parallel programming paradigm when focuses on the thread operations. The CPUs/cores provide more proce...
Conference Paper
Full-text available
This paper reviews 80 out of 130 bio-inspired Algorithm (BIAs) researches published in google scholar and IEEExplore between the periods of 1995 to 2010 used to solve image processing problems. BIAs has been successfully applied in many sciences, medical and engineering fields. The evolving, dynamic and meta-heuristics nature of BIAs makes it more...
Conference Paper
Qualitative and quantitative evaluation is important in verifying the effectiveness in any enhancement techniques. The contrast enhancement of dental radiographs is common due to the nature of the intra-oral radiographs that sometimes suffer noises and lack of sufficient brightness. This work compares the qualitative evaluation of dentists to quant...
Conference Paper
Full-text available
The shortage of rubber wood (RW) supply has increased the demand to reduce its composition in the Medium Density Fiberboard (MDF). Oil palm biomass such as empty fruit bunch (EFB) has been proven to be an excellent substitute to RW. An accurate percentage combination of RW and EFB will produce a high quality MDF. An MDF needs to be tested in terms...