Nursuriati Jamil
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View article: Outlier Map of Classical and Robust Principal Component Analysis
Outlier Map of Classical and Robust Principal Component Analysis Open
Classical Principal Component Analysis (CPCA) is widely used for dimensionality reduction, but it is highly sensitive to the presence of outliers, leading to distorted covariance estimates and unreliable principal components. To address th…
View article: 3D-based Convolutional Neural Networks for Medical Image Segmentation
3D-based Convolutional Neural Networks for Medical Image Segmentation Open
Medical image segmentation is essential for disease screening and diagnosis, particularly through techniques like anatomical and lesion segmentation that can be used to isolate critical regions of interest. However, manual segmentation is …
View article: DualVitOA: A dual vision transformer-based model for osteoarthritis grading using x-ray images
DualVitOA: A dual vision transformer-based model for osteoarthritis grading using x-ray images Open
Knee osteoarthritis (OA) is a primary factor contributing to reduced activity and physical impairment in older individuals. Early identification and treatment of knee OA can assist patients in delaying the advancement of the condition. Cur…
View article: Optimizing deep learning models from multi-objective perspective via Bayesian optimization
Optimizing deep learning models from multi-objective perspective via Bayesian optimization Open
Optimizing hyperparameters is crucial for enhancing the performance of deep learning (DL) models. The process of configuring optimal hyperparameters, known as hyperparameter tuning, can be performed using various methods. Traditional appro…
View article: Revisiting self-supervised contrastive learning for imbalanced classification
Revisiting self-supervised contrastive learning for imbalanced classification Open
Class imbalance remains a formidable challenge in machine learning, particularly affecting fields that depend on accurate classification across skewed datasets, such as medical imaging and software defect prediction. Traditional approaches…
View article: Bridging Gaps in Online Arabic Language Instruction: Addressing Key Challenges in Higher Education Institutions
Bridging Gaps in Online Arabic Language Instruction: Addressing Key Challenges in Higher Education Institutions Open
The rapid shift to online education, accelerated by the global pandemic, has highlighted significant challenges in Arabic language instruction, particularly in Malaysia's public higher education sector. This study investigates the key chal…
View article: READING DIFFICULTIES IN MALAY LANGUAGE AMONG DYSLEXIC STUDENTS: CLASSIFICATION BASED ON LEVINSON’S DYSLEXIA SYNDROME THEORY
READING DIFFICULTIES IN MALAY LANGUAGE AMONG DYSLEXIC STUDENTS: CLASSIFICATION BASED ON LEVINSON’S DYSLEXIA SYNDROME THEORY Open
Dyslexia is a condition that causes individuals to experience difficulties in language skills, particularly in reading. This study focuses on the aspect of Phonological Dyslexia, which centers on extreme reading difficulties due to phonolo…
View article: Convolutional neural network modelling for autistic individualized education chatbot
Convolutional neural network modelling for autistic individualized education chatbot Open
The traditional education system for autistic kids needs integration with computer technology that embraces artificial intelligence to help school instructors and management. An application that enables the teacher to retrieve information …
View article: CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration
CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration Open
Image recognition models often struggle with class imbalance, which can impede their performance. To overcome this issue, researchers have extensively used resampling methods, traditionally focused on tabular datasets. In contrast to the o…
View article: OSTEOARTHRITIS GRADING: A SYNTHESIZED MAGNETIC RESONANCE IMAGES TECHNIQUE
OSTEOARTHRITIS GRADING: A SYNTHESIZED MAGNETIC RESONANCE IMAGES TECHNIQUE Open
Osteoarthritis (OA) in the knee is a major cause of decreased activity and physical limitations among older people. Identifying and treating knee osteoarthritis in its early stages can help patients delay the progression of the condition. …
View article: Multi objective hyperparameter tuning via random search on deep learning models
Multi objective hyperparameter tuning via random search on deep learning models Open
This research examines the efficacy of random search (RS) in hyperparameter tuning, comparing its performance to baseline methods namely manual search and grid search. Our analysis spans various deep learning (DL) architecturesmultilayer p…
View article: Development of a Collaborative Intelligent Individual Education Program System using a Prototyping Approach
Development of a Collaborative Intelligent Individual Education Program System using a Prototyping Approach Open
The current paper describes the development of an online Collaborative Intelligent Individual Education Platform (CIIP) that is specifically designed for children with ASD based on experts' assessments and progress reports. The online plat…
View article: Vehicle detection and classification using three variations of you only look once algorithm
Vehicle detection and classification using three variations of you only look once algorithm Open
Vehicle detection and classification are essential for advanced driver assistance systems (ADAS) and even traffic camera surveillance. Yet, it is challenging due to complex backgrounds, varying illumination intensities, occlusions, vehicle…
View article: An updated review on anti-diabetic agents and their functions: a comparative study
An updated review on anti-diabetic agents and their functions: a comparative study Open
Chronic metabolic disease is considered by a high concentration of glucose in the blood consequent from imperfections in insulin secretion or insulin action. Currently, it is rapidly becoming an epidemic in several nations around the world…
View article: Vehicle detection and classification using three variations of you only look once algorithm
Vehicle detection and classification using three variations of you only look once algorithm Open
Vehicle detection and classification are essential for advanced driver assistance systems (ADAS) and even traffic camera surveillance. Yet, it is challenging due to complex backgrounds, varying illumination intensities, occlusions, vehicle…
View article: Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform
Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform Open
The global crisis and climate change have resulted in severe food shortages worldwide. One of the solutions is self-farming by using smart farming technology. Smart and efficient agricultural production or smart farming using IoT sensors, …
View article: An Improved Co-Training and Generative Adversarial Network (Diff-CoGAN) for Semi-Supervised Medical Image Segmentation
An Improved Co-Training and Generative Adversarial Network (Diff-CoGAN) for Semi-Supervised Medical Image Segmentation Open
Semi-supervised learning is a technique that utilizes a limited set of labeled data and a large amount of unlabeled data to overcome the challenges of obtaining a perfect dataset in deep learning, especially in medical image segmentation. …
View article: SiulMalaya: an annotated bird audio dataset of Malaysia lowland forest birds for passive acoustic monitoring
SiulMalaya: an annotated bird audio dataset of Malaysia lowland forest birds for passive acoustic monitoring Open
The laborious point count method of conducting bird surveys is still a common practice in Malaysia. An alternative method known as passive acoustic monitoring (PAM) is deployed in many countries by placing sound recorders at surveying site…
View article: SiulMalaya: an annotated bird audio dataset of Malaysia lowland forest birds for passive acoustic monitoring
SiulMalaya: an annotated bird audio dataset of Malaysia lowland forest birds for passive acoustic monitoring Open
The laborious point count method of conducting bird surveys is still a common practice in Malaysia. An alternative method known as passive acoustic monitoring (PAM) is deployed in many countries by placing sound recorders at surveying site…
View article: Design, development, utility and usability testing of the EMPOWER-SUSTAIN Self-Management Mobile App<sup>©</sup> among primary care physicians and patients with metabolic syndrome
Design, development, utility and usability testing of the EMPOWER-SUSTAIN Self-Management Mobile App<sup>©</sup> among primary care physicians and patients with metabolic syndrome Open
Objective This study aimed to design, develop, assess and refine the EMPOWER-SUSTAIN Self-Management Mobile App © among primary care physicians (PCP) and patients with metabolic syndrome (MetS) in primary care. Methodology Using the softwa…
View article: DOES GOOGLE TRANSLATE AFFECT LEXICON-BASED SENTIMENT ANALYSIS OF MALAY SOCIAL MEDIA TEXT?
DOES GOOGLE TRANSLATE AFFECT LEXICON-BASED SENTIMENT ANALYSIS OF MALAY SOCIAL MEDIA TEXT? Open
There are a lot of sentiment resources for English, however, there are limited resources in a resource-poor language like the Malay language. One approach to improving sentiment analysis is to translate the focus-language text to a resourc…
View article: Comparing MobileNet-SSD and YOLO v3 Learning Architecture for Real-time Driver’s Fatigue Detection
Comparing MobileNet-SSD and YOLO v3 Learning Architecture for Real-time Driver’s Fatigue Detection Open
Convolutional Neural Network is known to achieve high accuracy in solving classification, recognition, and detection problems. In a real-time environment, time is an important factor of consideration. Even though most CNN-based architectur…
View article: Enhanced IoT-Based Climate Control for Oyster Mushroom Cultivation Using Fuzzy Logic Approach and NodeMCU Microcontroller
Enhanced IoT-Based Climate Control for Oyster Mushroom Cultivation Using Fuzzy Logic Approach and NodeMCU Microcontroller Open
Urban farming has the potential to utilise unused space in the community to alleviate food shortages and increase the community’s income through local food production. When Internet of Things (IoT) technology is integrated with urban farmi…
View article: An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis Open
Intonation generation in expressive speech such as storytelling is essential to produce high quality Malay language expressive speech synthesizer. Intonation generation, for instance explicit control, has shown good performance in terms of…
View article: A Self-Healing Data Management Architecture for IoT Applications: A Case Study of Smart Urban Farming on High-Rise Buildings
A Self-Healing Data Management Architecture for IoT Applications: A Case Study of Smart Urban Farming on High-Rise Buildings Open
This paper presents the containerization of virtualization method that is done to execute distributed application for smart urban farming system.Containerization is a virtualization method for executing distributed applications without the…
View article: Evaluations of internet of things-based personal smart farming system for residential apartments
Evaluations of internet of things-based personal smart farming system for residential apartments Open
Urban farming is popularly accepted by communities living in cities as they are more health-conscious and to help support the high cost of living. Unfortunately, farming takes a considerable amount of time specially to monitor the plant’s …
View article: The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial
The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial Open
Background Epidemiological studies conducted in various parts of the world have clearly demonstrated that metabolic syndrome (MetS) is an increasing global health problem, not only in Western societies but also in Asian populations. Web-ba…
View article: Formant characteristics of Malay vowels
Formant characteristics of Malay vowels Open
The purpose of this study was to investigate and examined the eight vowels formant characteristic of Malay language. Previous research of Malay language only investigated six basic vowels /a/, /e/, /i/, /o/, /u/, /ə/. The vowels /ɔ/, /ε/ t…
View article: The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial
The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial Open
Background: Epidemiological studies from various parts of the world have clearly demonstrated that Metabolic Syndrome (MetS) is an increasing global health problem, not only in the western societies but also in the Asian populations. Web-b…