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Using a novel algorithm in ultrasound images to detect renal stones
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Proceedings -
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Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods
Published 2024“…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
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Conference or Workshop Item -
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Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods
Published 2024“…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
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Proceeding Paper -
4
Analysis of Microscopic Blood Samples for Detecting Malaria
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Undergraduates Project Papers -
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
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A hybrid intrusion detection system based on different machine learning algorithms
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Cabbage disease detection system using k-NN algorithm
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Academic Exercise -
9
Breast Ultrasound Automated ROI Segmentation with Region Growing
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Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm
Published 2022“…Specifically, the paper utilized the YOLOv5s architecture coupled with k-means algorithm to perform anchor box optimization under different illumination levels. …”
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Article -
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Automatic Textile Stain Detection Using Yolo Algorithm
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…The combined method is called Hybrid K-MeansCGA. Modifications of K-Means structures were done by inserting genetic algorithm operators and tuning the population. …”
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Thesis -
14
Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
Published 2020“…The performance of the algorithm achieved a sensitivity of 100% for QRS onset detection and 100% for T offset detection. …”
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Article -
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Application of neural networks in early detection and diagnosis of parkinson's disease
Published 2014“…This MLFNN with BP algorithm is simulated using MATLAB software. The dataset information used in this study was taken from the Oxford Parkinson’s Disease Detection Dataset. …”
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Proceeding Paper -
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…There are three segmentation algorithm used in this study such as HSV, K-Means and Feature Matching. …”
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Research Report -
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Analysis Of Human Detection Method In Social Distancing Monitoring
Published 2022“…Detection means to recognize the presence of something such as human or object. …”
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Undergraduates Project Papers -
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Image clustering comparison of two color segmentation techniques
Published 2010“…We focus on the outlier detection and background subtraction on image. This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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Thesis -
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DEVELOPMENT OF MOTION ANALYSIS IN CROWDED SCENES FOR REAL TIME VIDEO SURVEILLANCE
Published 2019“…In this project, Matlab software were used for the development of algorithm to detect crowd as well as motion detection. …”
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Final Year Project -
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper
