Nur Intan Raihana Ruhaiyem

Universiti Sains Malaysia | USM · School of Computer Science

Speech is one of the attributes that humans enjoy. Humans possess several distinguishing characteristics, including fingerprints, hands, fingers, eyes and DNA, which set each individual apart from one another. Numerous datasets specialise in speech and include many languages from around the world, such as JNAS DATASET, TCDSA DATASET, UF-VAD DATASET...

Community College adhered to the Ministry of Higher Education is well known for its lifelong learning prospects and distinctively offers a short course about the community surrounding the institute. To date, the primary focus in the academic and industrial realms is on descriptive and predictive analytics. Nevertheless, prescriptive analytics, whic...

Customers today utilized internet banking in big numbers. Banks have a strong need to understand their clients' behaviors and preferences. Attempting to discover links between certain profiles and consumer Internet banking usage. The self-administered survey technique was employed to gather data, with the convenience sampling approach being a...

Age estimation and gender detection are essential tasks in speech analysis and understanding, with applications in various domains. Traditional approaches primarily rely on acoustic features extracted from speech signals, which may be limited by environmental noise and recording conditions. To address these challenges, we propose an improved approa...

The global community has recently been impacted by the COVID-19 pandemic, regarded as the biggest public health emergency the world has ever seen. Covid-19 has been shown to provoke pneumonia, among other diseases characterized by lung inflammation. Imaging exams such as chest X-rays (CXR) are often used because they are cheap, fast, widespread, an...

Muscular skeletal disorder is a difficult challenge faced by the working population. Motion capture (MoCap) is used for recording the movement of people for clinical, ergonomic and rehabilitation solutions. However, knowledge barriers about these MoCap systems have made them difficult to use for many people. Despite this, no state-of-the-art litera...

Natural language processing (NLP) is the art of investigating others’ positive and cooperative communication and rapprochement with others as well as the art of communicating and speaking with others. Furthermore, NLP techniques may substantially enhance most phases of the information-system lifecycle, facilitate access to information for users, an...

Breast cancer is the most prevalent cancer worldwide. Thus, it is necessary to improve the efficiency of the medical workflow of the disease. Therefore, this study aims to develop a supplementary diagnostic tool for radiologists using ensemble transfer learning and digital mammograms. The digital mammograms and their associated information were col...

Identifying the gender of a person and his age by way of speaking is considered a crucial task in computer vision. It is a very important and active research topic with many areas of application, such as identifying a person, trustworthiness, demographic analysis, safety and health knowledge, visual monitoring, and aging progress. Data matching is...

Advancement of technologies in the electronics industry has render decrease in electronic components sizes and increase in number of components on Printed Circuit Board (PCB). Industries specialize in manufacturing Printed Circuit Board Assembly (PCBA), also implementing manual visual inspection in In Process Quality Control (IPQC) verification pro...

Oil palm trees one of the most essential economic crops in Malaysia have an economic lifespan of 20–30 years. Estimating oil palm tree age automatically through computer vision would be beneficial for plantation management. In this work, the object detection technique is proposed by applying high-resolution satellite imagery, tested with four diffe...

This study utilised an ensemble of pre-trained networks and digital mammograms to develop a supplementary diagnostic tool for radiologists. Digital mammograms and their associated information were collected from the department of radiology and pathology, Hospital Universiti Sains Malaysia. Thirteen pre-trained networks were selected and explored in...

The brain tumor is recognized as one of the most frequent tumors, with a significant mortality rate associated with its development. Segmentation of brain tumors involves distinguishing normal brain tissue from malignant tissue. When evaluating brain tumors, it is possible to determine the existence of tumor tissue quickly. However, accurate and re...

: This study offers a framework for a breast cancer computer-aided treatment prediction (CATP) system. The rising death rate among women due to breast cancer is a worldwide health concern that can only be addressed by early diagnosis and frequent screening. Mammography has been the most utilized breast imaging technique to date. Radiologists have b...

The purpose of this study was to provide an overview of breast cancer researches in Malaysia. Besides, this study aimed to identify the trends of breast cancer research in Malaysia. This study retrieved 343 related publications from the Scopus database. After removing one duplicated publication and another two publications that did not meet the stu...

This study aims to determine the feasibility of machine learning (ML) and patient registration record to be utilised to develop an over-the-counter (OTC) screening model for breast cancer risk estimation. Data were retrospectively collected from women who came to the Hospital Univer-siti Sains Malaysia, Malaysia for breast-related problems. Eight M...

This article provides a comprehensive review of deep learning-based blood vessel segmentation of the brain. Cerebrovascular disease develops when blood arteries in the brain are compromised, resulting in severe brain injuries such as ischemic stroke, brain hemorrhages, and many more. Early detection enables patients to obtain more effective treatme...

Cerebral small vessel disease is a neurological disease frequently found in the elderly and detected on neuroimaging, often as an incidental finding. White matter hyperintensity is one of the most commonly reported neuroimaging markers of CSVD and is linked with an increased risk of future stroke and vascular dementia. Recent attention has focused...

This study aimed to determine the feasibility of the development of an over-the-counter (OTC) screening model using machine learning for breast cancer screening in the Asian women population. Data were retrospectively collected from women who came to the Hospital Universiti Sains Malaysia, Malaysia. Five screening models were developed based on mac...

Mammographic density is a significant risk factor for breast cancer. In this study, we identified the risk factors of mammographic density in Asian women and quantified the impact of breast density on the severity of breast cancer. We collected data from Hospital Universiti Sains Malaysia, a research- and university-based hospital located in Kelant...

Stress is a normal reaction of the human organism which triggered in situations that require a certain level of activation. This reaction has both positive and negative effects on everyone's life. Therefore, stress management is of vital importance in maintaining the psychological balance of a person. Thermal-based imaging technique is becoming pop...

This paper presents the effectiveness evaluation of interactive multimedia-based nutrition education package (IMNEP), a game and video-based intervention tool targeting in improving obesity outcomes among obese children. The IMNEP stands for Interactive Multimedia-based Nutrition Education Package which comprise of a digital game namely MakanSihatS...

Segmentation is the most challenging task in image processing. To date, there is still no superior method can segment all types of images either in 2D or 3D. A popular technique: bilateral filter, a non-linear method used to efficiently eliminate noise while preserving object’s edges, has two parameters: domain and range kernel, and widely used for...

The mortality rate in hemodialysis patients is 6.3–8.2 times higher than the general population. Failure to adhere to dietary intake recommendation, was one of the most significant factors affecting patient survival. Technology-mediated approach such as web and mobile application could be the most desirable approach nowadays. This paper presents th...

Skin rashes and allergies are common on human body. To date, we could find many skin care products sold not only in pharmacy but also from individual business. However, not all products suitable for all skin types. As a normal human, we sometimes not know the type of rashes or allergies that we faced. Meeting dermatologist would not be the first ch...

The timber or wooden base is a significant material in traditional Malay houses from structure to architecture craftsmanship of the buildings. Due to the material natural condition, the problem perceives to be very mainly dealing with the joint wood base treat, namely rot, decay, and defective material. The study's purpose is to identify existing d...

This paper investigates the performance of the real-time face recognition system with machine learning, as well as the performance of each haarcascade classifiers that based on accuracy and speed. We employ the subset of machine learning called deep learning to the real-time face recognition system as the deep face recognition technique has improve...

This paper proposes a Hybrid Improved Bacterial Swarm (HIBS) optimization algorithm for the minimization of Equal Error Rate (EER) as a performance measure in a hand-based multimodal biometric authentication system. The hybridization of the algorithm was conducted by incorporating Bacterial Foraging Optimization (BFO) and Particle Swarm Optimizatio...

This paper proposes a Hybrid Improved Bacterial Swarm (HIBS) optimization algorithm for the minimization of Equal Error Rate (EER) as a performance measure in a hand-based multimodal biometric authentication system. The hybridization of the algorithm was conducted by incorporating Bacterial Foraging Optimization (BFO) and Particle Swarm Optimizatio...

Recent advancement of depth imaging sensor technology can provide opportunities, especially in healthcare sector to improve the quality of life of the hospital patients and elderly care institutes by facilitating certain tasks without any assistant and enabling supportive ecosphere. This paper presents a novel hand gesture system via motion capture...

This paper proposed a hybrid improved bacterial swarm optimization (HIBS) algorithm by combining bacterial foraging optimization algorithm (BFO) with particle swarm optimization (PSO) to improve the performance of the classical BFO algorithm. Adaptive step size is introduced instead of fixed step size by random walk of the Fire Fly Algorithm (FFA)...

The enhancement of current face recognition system used in attendance system is proposed to fulfill the motivations for this project which are to encounter the shortcomings from the existing systems, to put an innovation into the existing system and to make the system smarter by using real-time functionality. There are three objectives in this proj...

Presently, the number of children with autism appears to be growing at disturbing rate. Unfortunately, the awareness of early sign of Autism Spectrum Disorder (ASD) is still insufficiently provided to the public. Arm flapping is a good example of a stereotypical behavior of ASD early sign. Typically, a standard Repetitive Behavior Scale-Revised (RB...

Computational tracing of cellular images generally requires painstaking job in optimizing parameter(s). By incorporating prior knowledge about the organelle's morphology and image features, the required number of parameter tweaking can be reduced substantially. In practical applications, however, the general organelles' features are often known in...

In the wake of increasing nostalgia and the success of retro-compilations in the sixth and seventh generations of consoles, 'retro gaming' has become a motive in modern games, as well. The goal of this project is to remake and improve a classic puzzle game with intelligence gameplay element and better graphics for Android users namely "Coins Wipeou...

This paper describes a detection of common defects in laser welding of structural aluminum alloy. To overcome these problems, a technique has been proposed to detect defects automatically and effectively using the image segmentation technique. Although, this technique has been well developed, it does suffer from several disadvantages of radiographi...

Electron tomography (ET) is a powerful tool for quantitatively mapping the complex 3D sub-cellular structures of cells. High accuracy segmentation results are great value to cell biologists. They facilitate the comparison processes across statistically significant datasets of properties or structure information like size/volume of cellular compartm...