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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…Consequently, machine learning strategies have surfaced as a viable means of detecting malware. The following research report focuses on the implementation of classification machine learning methods for detecting malware. …”
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…Consequently, machine learning strategies have surfaced as a viable means of detecting malware. The following research report focuses on the implementation of classification machine learning methods for detecting malware. …”
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A Bio-Inspired Behavior-Based Hybrid Framework for Ransomware Detection
Published 2026journal-article -
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…First, a large-scale hardhat-wearing dataset, hardhat10K, was introduced to train the detection model effectively. …”
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Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…The visualization of the segmented structures uses a combination of volume rendering and surface rendering. …”
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POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD
Published 2012“…Thus it is a suitable model to be used in real time implementation through a Digital Signal Processor (DSP)- based embedded system for power quality disturbances detection and classification.…”
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Automated fault detection and extraction under gas chimneys using hybrid discontinuity attributes
Published 2021“…We present a hybrid workflow that combines a semblance-based fault likelihood attribute with a conventional ant-tracking attribute. …”
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Audio files comparator using wavelet transform and similarity metrics
Published 2025“…This project is a development-based project revolving around signal processing. …”
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Final Year Project / Dissertation / Thesis -
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A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
Published 2023“…This research presents a novel Dual Image Watermarking scheme based on human visual characteristics for authentication and copyright protection. …”
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Undergraduates Project Papers -
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Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang
Published 2021“…For a drone, especially a low-cost one, this renders the object-based approach to simulation-based only works. …”
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