Muhammad Khusairi Osman

Universiti Teknologi MARA | UiTM · Faculty of Electrical Engineering

Magnetic Resonance Imaging (MRI) typically shows the overall heart anatomy and usually includes the outmost slices of the left ventricle coverage. In assessing the patient in the left ventricle (LV) cardiac segment, only slices with images of the LV cardiac segment are considered, and the rest is neglected. This chapter explores an automated approa...

Deep Learning has been utilised in numerous fields, such as medicine, engineering, business, marketing, forensics, and industry. Pattern recognition, sentence recognition, document analysis, and handwritten recognition are where Convolution Neural Networks (CNN) are widely applied in deep learning. Deep learning architectures have recently been use...

Digital breast tomosynthesis (DBT) is a method that extends digital mammography by capturing pictures of the breast from various angles of the x-ray source. DBT’s angular sampling range is severely limited due to hardware constraints, resulting in severely limited angular artefacts such as blurring and low contrast effects in the reconstructed imag...

Lung lesion identification is essential to an early lung cancer diagnosis. Detecting lung cancer early may aid physicians in treating patients. This chapter presents a geometric feature and optical flow technique for diagnosing lung lesions using computed tomography images. According to prior research, automating lung segmentation is incredibly cha...

The breast cancer screening process using mammograms with the aid of a deep learning-based computer-aided (CAD) system can decrease the cause of the human error, improve patient monitoring and diagnosis, reduce false positive rates, and improve patient treatment options and care. However, system development based on only automated feature maps with...

Cracking is one of the concerns that might affect the road condition in a bad way like causing accidents. Early detection of cracks improves the process of road maintenance where undesirable problems might be avoided and prevented. In general, the crack detection process is accomplished by human examination. However, this manual technique is tediou...

An automatic classification of whether a circle area of a young palm oil crop is free or unfree from unwanted weed can be a crucial step towards improving the growth management of a palm oil plantation. However, there is still less study that utilizes artificial intelligence techniques to address this issue. Most previous studies focused on leaves...

This research proposes a smart recycle bin prototype and utilizes a dataset of five different trash types such as cardboard, paper, plastic, metal and glass for trash classification using a convolutional neural network (CNN). Three CNN models were proposed and compared, namely 1-CNN, 2-CNN and 3-CNN to measure the accuracy and the performance of th...

Lung cancer is a form of cancer that causes uncontrollable cell growth in the lungs. Patients with lung cancer frequently miss a treatment, face higher health care costs, and get the worst outcomes. The detection of the existence of lung cancer can be performed in a variety of ways, such as computed tomography (CT), magnetic resonance imaging (MRI)...

Excessive feature dimensions impact the effectiveness of machine learning, computationally expensive and the analysis of feature correlations in the engineering area. This paper uses the colour descriptor to get the most optimal feature to improve time consumption and efficiency. This study investigated Ficus carica L. (figs) with three classificat...

Lung lesion identification is an important aspect of an early lung cancer diagnosis. Early identification of lung cancer may assist physicians in treating patients. This paper uses computed tomography scan images to present a lung lesion identification geometrical feature. From the previous studies, lung segmentation is particularly challenging bec...

Visual interpretation from radiologists employs computer-aided diagnosis (CAD) to make clinical diagnoses by analyzing breast tissue images and assessing their texture. Aside from needing more training images for Convolutional Neural Network (CNN), selecting textural feature input to the deep learning-based CAD is challenging to control since the e...

Mass detection in mammograms has a limited approach to the presence of a mass in overlapping denser fibroglandular breast regions. In addition, various breast density levels could decrease the learning system's ability to extract sufficient feature descriptors and may result in lower accuracy performance. Therefore, this study is proposing a textur...

In Malaysia, the government has consistently allocated a significant amount of budget in improving and maintaining the country's road service quality. To ensure best-value maintenance works, it is essential to carry out regular pavement distress surveys for efficient pavement management and planning. Pothole is a long-standing pavement distress iss...

In large-scale medical imaging, selecting the best image to extract relevant imaging biomarkers for image assessment is crucial. Segmentation of the left ventricle (LV) and myocardium are performed in computer-aided analysis usually at short-axis slices of cardiac magnetic resonance (MR) image to quantify cardiovascular disease assessment, such as...

Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this research is to establish an image processing method for lung cancer detection. This paper focuses on lung region segmentation from computed tomography (CT) scan images. In this work, a new procedure for lung region segmentation is proposed. First, the l...

Piezoelectric energy harvesting is the process of extracting electrical energy using energy harvester devices. Any stress in the piezoelectric material will generate induced voltage. Previous energy harvester device with stiff cantilever beam was generated low harvested energy. A flexural piezoelectric energy harvester is proposed to improve the ge...

Deep Learning has ignited great international attention in modern artificial intelligence techniques. The method has been widely applied in many power system applications and produced promising results. A few attempts have been made to classify fault on transmission lines using various deep learning methods. However, a type of deep learning called...

Piezoelectric energy harvesters (PEH) can be used in many areas of application, including human walking, railways, pavements and bridges. Piezoelectric energy harvesters are currently based on two types of external forces, namely pressure load and mechanical oscillation or vibration. A vibration energy harvesting (VEH) is a mechanical oscillation i...

Pavement distress refers to the condition of pavement surface in terms of its general appearance. Cracks is a type of pavement distress and commonly occur in a road infrastructure. Crack on a pavement surface shows an early sign of pavement problems and aging. Thus, it is important to detect a serious crack as soon as possible to avoid any road acc...

Massive paddy crops lost every year due to weather condition, plant disease and pest attack. Pest attack is among the main threat that reducing the quality and quantity of the paddy crops. Pesticide is used to control and eliminate the pest in paddy field. In order to determine the quantity of pesticide used, traditional method is based on manual c...

Accurate fault location on transmission line is important in ensuring consistent and reliable operation of the power deliver to long distance destination. Conventional methods for locating fault on transmission lines based on travelling wave and impendence-based methods usually suffer from large error due to the complexity of fault modeling on diff...

A sensorless control of permanent magnet synchronous motor (PMSM) by using model reference adaptive system (MRAS) and artificial neural network is presents in this paper. The objective for this study is to improve the speed and position estimation of the PMSM rotor which used the MRAS with the conventional PI controller. In this study, the multilay...

Cervical cancer is well known as the third killer for women in Malaysia. The precancerous stage for detection can be determine by screening test, known Pap smear test for avoiding occurrence of cervical cancer. The problem face in the test is the human error in reading the data analysis and also lack number of pathologists to interpret the data ana...

Faults frequently occur in transmission lines and become a major issue in power system engineering. It is an unavoidable incident and leads to many problems such as failure of equipment, instability in power flow and economical losses. Protection relay is a device installed in transmission lines to perform detection, classification and estimation o...

In the controlling three phase AC motor especially permanent magnet synchronous motor (PMSM), good controller is required to achieved the desired target of speed. This paper presents a comparison among different technique of speed and position estimation by using Proportional and Integral controller (PI) tune by using Heuristic, MATLAB PID auto tun...

This paper proposes a speed control design of Permanent Magnet Synchronous Motor (PMSM) using Field Oriented Control (FOC). The focus is to design a speed control using Takagi - Sugeno Fuzzy Logic Control (T-S FLS). These systems will replace the conventional method which is proportional-integral (PI). The objective of this paper is to study the T-...

Fault location is one of the important schemes in power system protection to locate the exact location of disturbance. Nowadays, artificial neural networks (ANNs) are being used significantly to identify exact fault location on transmission lines. Selection of suitable training algorithm is important in analysis of ANN performance. This paper prese...

Faults in power distribution system are important to be detected, classified and located to ensure the power supply can be restored in the shortest possible time. The conventional fault classification technique, which is using steady state component, is obviously affected by many factors especially surrounding conditions. Thus, it is important to p...

Leukemia is a type of cancer that can lead to death. The main problem with the leukemia diagnosis lies in the human error in reading the data analysis and the shortage of hematologists available, to perform the data analysis. Creating a computer-aided diagnosis system is one of the solutions where it can automatically interpret the data so that fas...

Fault occurred in transmission line can cause many problems such as failure of equipment, instability in power flow, and economical losses. Many of the techniques proposed for fault classification in transmission line have applied steady state component as it is easily affected by the surroundings. Then, protection scheme based on fault generated t...

Welded joints are widely used in automotive industry in order to form a complete vehicle. The welded joints not only provide connections between components but are essential in controlling the dynamic characteristics of the vehicle. The dynamic characteristic of the vehicle is highly influenced on determining the level of car Noise, Vibration and H...

This paper present an analysis on in-situ particle monitor using virtual metrology system for particle contamination measurement. In the process of manufacturing semiconductor devices, detecting particle contamination in process tools is a vital factor for determining the product yield. In-situ monitoring of particle contamination can be as accurat...

Transmission lines are subjected to many kind of fault. Therefore fault location scheme is needed to determine the exact location of fault. This paper proposed a method for estimating transmission line fault location system using traveling wave method and artificial neural network (ANN). The method starts by decomposing the current signal from the...

This paper present the particle contamination detection during plasma etching process by using k-nearest neighbor (kNN) and Fuzzy k-nearest neighbor (FkNN). In the process of manufacturing semiconductor devices, detecting particle contamination in process tool is a vital factor for determining for product yield. In situ particle is an accurate and...

Power system protective relaying is an important feature for efficient and reliable power flow operation. The traditional fault classification scheme using the steady state component is easily affected by environment factors. Then, it is important to provide power protection scheme that offers a better classification performance based on fault-gene...

Fast and accurate fault classification in transmission lines is important for any protection devices. The present of extra transient signals cause to phase misclassification and malfunction of protection devices. Thus, it is crucial to provide a proper protection scheme that offer a good classification performance when the signals are influenced by...

Pain is a non-stationary made by babies in reaction to certain circumstances. This infant facial expression can be used to recognize physical or psychology condition of newborn. The goal of this study is to evaluate the performance of illumination levels for infant pain classification. Single Scale Self Quotient Image (SSQ) and discrete Cosine Tran...