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Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

“…Machine learning is utilised for malware detection with the advancement of malware analysis. …”
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Autonomous Positioning Of Unmanned Aerial Vehicle (UAV) For Power Lines Insulator Detection by Sze Sin, Voon, Kho, Lee Chin, Ngu, Sze Song, Annie, Joseph, Kuryati, Kipli

“…The proposed model leverages machine learning algorithms for autonomous detection of insulators. To determine the optimal stopping point and safety distance between the UAV and the insulator, a mathematical model is presented that utilises the captured images and the machine learning algorithm. …”
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A Cryptojacking Detection System With Product Moment Correlation Coefficient (Pmcc) Heatmap Intelligent by Kong, Jun Hao

“…This study aims to develop a cryptojacking detection system based to the random forest algorithm.…”
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Feasibility study of utilising electronic nose to detect BSR disease in oil palm plantation by Marni Azira, Markom

“…As a conclusion, this work confirms that it is feasible to utilise the electronic nose and ANNs to detect and discriminate the BSR disease both in the laboratory and in the plantation.…”
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Development of mesoscopic imaging system for surface inspection / Moe Win by Moe , Win

“…The developed system is then utilised for inspection and defect detection of titanium coated surfaces, although appearing uniform, exhibits non-visible micro-cracks which remains hidden from naked eye observations. …”
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A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity by Yau, Jia Xin

“…It is expected the fact that the research will result in the development of phishing detection technologies that are more precise and efficient, thereby bolstering online security and protecting users against identity and financial deception. …”
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Enhanced android malware detection framework using API application framework layer by Abdul Ghani, Saidah Mastura

“…Besides, Application Framework layer consists of manager blocks which can be used to access data in Android device, making the most vulnerable layer in which the malware developers like to exploit. This thesis was to develop an enhanced framework to detect Android malware application using Application Framework layer components. …”
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Vehicle Tracking using Video Cameras by Johnson, Girberth

“…MATLAB is utilised for the algorithm development. In MATLAB, background subtraction is performed as to extract the foreground image from the background image. …”
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Detection of SQL injection attack using machine learning by Tung, Tean Thong

“…This work presents a novel real-time system for detecting SQLI attacks. The system utilises a machine learning approach to train and enhance its ability to identify and prevent SQLI attacks accurately. …”
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Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

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Automatic paddy planthopper detection and counting using faster R-CNN by Khairunniza-Bejo, Siti, Ibrahim, Mohd Firdaus, Hanafi, Marsyita, Jahari, Mahirah, Ahmad Saad, Fathinul Syahir, Mhd Bookeri, Mohammad Aufa

“…Therefore, this research presents a comprehensive assessment of an object detection algorithm specifically developed to precisely detect and quantify planthoppers. …”
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Overall equipment utilisation (OEU) monitoring and remote quality check in legacy machine with raspberry pi by Abd Rahim, Siti Huda, Embong, Abd Halim

“…Furthermore, an error detection feature is designed from OCR output.…”
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Automated visual defect detection using deep learning by Loh, Xiao

“…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm by Nurin Alya, Haris

“…The outcomes of this research contribute to the advancement of cheat detection mechanisms in online gaming. The developed prediction model can be integrated into existing systems to improve cheat detection capabilities and promote an enjoyable and fair gaming experience for all PUBG participants…”
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Development of deep learning based user-friendly interface for fruit quality detection by Mohd Ali, Maimunah, Hashim, Norhashila

“…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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Obstacle detection for Unmanned Aerial Vehicle (UAV) by Abdul Khaliq, Nor Aizatul Nabila, Ramli, Muhammad Faiz

“…This study aims to develop an obstacle detection system for unmanned aerial vehicles utilising the ORB feature extraction. …”
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Object detection model for mango leaf diseases / Muhammad Norzakwan Mohd Sham and Mohammad Hafiz Ismail by Mohd Sham, Muhammad Norzakwan, Ismail, Mohammad Hafiz

“…This model can also be utilised by homeowners that grow mango trees. On object detection, farmers can detect leaf diseases like black sooty molds and white wax scales earlier and treat them. …”
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Processing and classification of landsat and sentinel images for oil palm plantation detection by Mohd Ibrahim, Azhar, Asming, Muhammad Anwar Azizan, Abir, Intiaz Mohammad

“…The increasing demand for remote sensing, along with the advancement of technology, has led to the development of robust, sensible, and user-friendly products that can utilise remotely captured images. …”
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Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection by Eustacius Jude, Anak Joseph Linggong

“…The results obtained without image segmentations able to detect a smaller tumour. By applying image segmentation to localised the FBTS technique, the detection of the tumour is enhanced. …”
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Design and development of latex mark visual detection system by Chong, Kai Zhe, Zakaria, Azrul Abidin, Mohamed, Hassan, Baharuddin, Mohd Zafri

“…The vital parts in developing a highly efficient latex former defect detection model include designing a mechanical frame structure and developing and evaluating a deep learning model. …”
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