Search Results - (( based evaluation study algorithm ) OR ( parameter detection method algorithm ))
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1
Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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Thesis -
2
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…Thus, an Extremal Region Detection (ERD) algorithm in MSER is improved by finding optimum configuration of MSER parameters, allowing the quantity of interest points for certain food images to be increased appropriately. …”
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Application of neural networks in early detection and diagnosis of parkinson's disease
Published 2014“…The output of the network is classified into healthy or PD by using K-Means Clustering algorithm. The performance of this classifier was evaluated based on the three parameters; sensitivity, specificity and accuracy. …”
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Proceeding Paper -
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…On the other hand, network compression and acceleration techniques such as pruning and quantization also been the focus of the studies for light-weight algorithms in embedded system. …”
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Final Year Project / Dissertation / Thesis -
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, propose an Optimized Time Sliding Window based Three Colour Marker. Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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7
Mental stress classification based on selected EEG channels using Correlation Coefficient of Hjorth Parameters
Published 2023“…This study introduces a novel channel selection method aimed at identifying highly accurate channels for detecting mental stress. …”
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Lung cancer medical images classification using hybrid CNN-SVM
Published 2021“…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The optimal scale, shape and compactness parameters of multi-resolution segmentation have been determined and the detection accuracy was evaluated based on receiver operating characteristics (ROC). …”
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10
Heart disease prediction using artificial neural network with ADAM optimization and harmony search algorithm
Published 2025“…In summary, this study advances the field by delivering an effective, optimized predictive algorithm for early heart disease detection, thereby offering valuable insights that could enhance healthcare outcomes, support proactive cardiovascular risk management, and pave the way for future innovations in personalized medicine…”
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Edge detection of MRI images using artificial neural network
Published 2017“…Methods In this study, various existing edge detectors techniques based on spatial domain were evaluated. …”
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Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample
Published 2020“…The segmentation algorithm uses saturation S-component based on Hue, Saturation, Intensity (HSI) color model. …”
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Conference or Workshop Item -
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The overall accuracy of the Support Vector Machine SVM and Random Forest RF classifiers revealed that three of the six algorithms exhibited higher ranks in the landslide detection. …”
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14
Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…The objectives of the study included designing soil desiccation experiment setup for desiccation crack image acquisition, evaluating crack imaging analysis based on deep learning algorithms, and quantifying desiccation cracks through image processing techniques. …”
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Final Year Project / Dissertation / Thesis -
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Detection of defect in concrete using elastic wave tomography reconstruction technique / Liu Kit Fook
Published 2017“…The developments of algorithms for these methodologies are undertaken, which are fundamentally based on ray-tracing approach and SIRT. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Modelling of intelligent intrusion detection system: making a case for snort
Published 2018“…The performance of this classifier was evaluated based on three parameters: accuracy, sensitivity, and False Positive Rate (FPR). …”
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Proceeding Paper -
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Vibration analysis for early detection of bearing failures
Published 2024“…The vibration monitoring algorithm utilizes time-domain parameters, frequency domain analysis, and envelope analysis to assess bearing conditions. …”
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Final Year Project / Dissertation / Thesis -
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Image segmentation method for boundary detection of breast thermography using random walkers
Published 2013“…The segmentation was based on constant parameters among all images used in the study; these standard segmentation parameters achieved acceptable results in most cases. …”
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Defect detection of GFRP composites through long pulse thermography using an uncooled microbolometer infrared camera
Published 2024“…This study underscores the potential of optimized LPT as a cost-effective and reliable method for detecting defects in GFRP composites.…”
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