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Muhammad Khusairi Osman
Universiti Teknologi MARA
Machine learningPattern recognitionMultilayer perceptronComputer scienceArtificial neural network
57Publications
11H-index
356Citations
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Publications 67
Newest
#2S. Z. Yahaya (UiTM: Universiti Teknologi MARA)H-Index: 4
Last. R. Boudville (UiTM: Universiti Teknologi MARA)H-Index: 5
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This paper presents an image processing technique to identify lip expressions in producing control instructions. The purpose is to assist patients suffering from Tetraplegia especially in their mobility by providing alternative ways of controlling devices. In this work, motorized wheelchairs are used as the studied mobility device. Some of the methods used in motorized wheelchair do give user difficulties as they need extra effort in controlling the device. Thus, this project aimed to study, des...
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#1Mohd Firdaus Abdullah (UiTM: Universiti Teknologi MARA)H-Index: 4
Last. Ibrahim Lutfi Shuaib (Universiti Sains Malaysia)H-Index: 12
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This paper presents a comparative study between 3 segmentation techniques compared against ‘the ground truth’ obtained from manual segmentation from the oncologist applied for lung cancer detection. Lung cancer is the common cause of death among people throughout the world. Lung cancer detection can be done in several ways, such as Radiography, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). These methods use a lot of resources in terms of time and money. However, CT has good dete...
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#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
view all 7 authors...
Asphalt pavement defects on road surface contribute one of the most important factors for traffic accident. Research on asphalt pavement using image processing techniques have been carried but there are still have challenges to the presence of shadows, oil stains and water spot. Therefore, considering the abovementioned issues, this study proposed a fully automated pavement crack detection and classification using deep convolution neural network (DCNN). First, the image of pavement cracks with d...
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#1Mohd Halim Mohd Noor (Universiti Sains Malaysia)H-Index: 5
Last. Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
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Existing feature extraction method for activity recognition is time consuming and laborious and prone to error. This paper proposes an unsupervised deep learning method for feature learning in activity recognition using tri-axial accelerometer. The proposed method extracts the relevant features automatically, eliminating the needs of feature extraction and selection stages. We evaluate and compared the proposed method with the conventional method in terms of recognition accuracy on a public data...
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Last. Muhammad Khusairi OsmanH-Index: 11
view all 7 authors...
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#1Abdul Hafiz Abu Samah (UiTM: Universiti Teknologi MARA)H-Index: 1
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Diagnosis of diabetic retinopathy (DR) involves visual examination of retinal images by ophthalmologist to detect pathological signs such as exudate, haemorrhage (HEM) and microaneurysm (MA). This process is conducted manually, therefore it is time-consuming and subjected to human error. This paper develops an automatic and intelligent machine learning algorithm for the detection of diabetic retinopathy (DR) in fundus image. It involves image enhancement and classification of pathological signs ...
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#1Anas Ibrahim (UiTM: Universiti Teknologi MARA)
#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
Last. Rafikha Aliana A. Raof (UniMAP: Universiti Malaysia Perlis)H-Index: 2
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This study presents characterization of cracking in pavement distress using image processing techniques and k -nearest neighbour (kNN) classifier. The proposed semi-automated detection system for characterization on pavement distress anticipated to minimize the human supervision from traditional surveys and reduces cost of maintenance of pavement distress. The system consists of 4 stages which are image acquisition, image processing, feature extraction and classification. Firstly, a tool for ima...
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Last. Nur Ashida Salim (UiTM: Universiti Teknologi MARA)H-Index: 5
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Abstract 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 multilayer perceptron (MLP) network and hybrid multilayer perceptron (HMLP) network from family of artificial neural network (ANN) were evaluated. Be...
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#1Nur Atiqah Nasser Shah (UiTM: Universiti Teknologi MARA)
#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
Last. Abdul Rahim Ahmad (UiTM: Universiti Teknologi MARA)H-Index: 2
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Abstract 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 counting where sticky trap is used to trap the pest and after that the pest was counted manually. However, this method is tedious and time con...
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#1Mohd Fakharuddin Zorkafli (UiTM: Universiti Teknologi MARA)
#2Muhammad Khusairi Osman (UiTM: Universiti Teknologi MARA)H-Index: 11
Last. Siti Noraini Sulaiman (UiTM: Universiti Teknologi MARA)H-Index: 9
view all 5 authors...
Abstract 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 analysis. Creating a computer-aided diagnosis system is one of the solutions that can interpret the data. Most of the research available used ar...
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