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The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
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Thesis -
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Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
Published 2024“…Then flock optimization algorithm is applied to detect the sequence; this process is used to reduce the convergence and optimization problems. …”
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Article -
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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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The application of Hough Transform for corner detection
Published 2006“…Mean while, the Zhang Suen Thinning Method can be used to reduce the edge points into minima points to speed up the algorithm. …”
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Thesis -
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Face detection in image sequence / Noor Diana Abdullah
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…In the financial sector, machine learning algorithms are used to detect fraud, automate trading, and provide financial advice to investors. …”
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
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Thesis -
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REAL TIME ABNORMAL SOUND DETECTION AND CLASSIFICATION FOR HOME ENVIRONMENT
Published 2011“…In this project, a system is designed to have abnormal sound detection and classification. For abnormal sound detection, mean signal approach being used while for classification process, there two main methods being used which are features extraction using Mel-Frequency Cepstral Coefficient (MFCC) and classifier using Gaussian Mixture Model (GMM). …”
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Final Year Project -
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Development of a prototype solar-powered autonomous vehicle prototype with object detection and avoidance system using Raspberry-Pi
Published 2024“…The vehicle uses ultrasonic sensors and a USB webcam to detect and avoid obstacles on its path with the aid of a Raspberry Pie program that effectively executes decision-making changes to manoeuvre the vehicle away from objects on a free path. …”
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Risk assessment of dengue in Betong Sarawak using simple mathematical model
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Student Project -
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Customer sentiment analysis through social media feedback: A case study on telecommunication company
Published 2022“…Lasty, the performance of each model was compared to select the most accurate model and from the analysis, it can be concluded that Support Vector Machine gives the best performance in terms of accuracy, Mean Squared Error, Root Mean Squared Error and Area Under the ROC curve.…”
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Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication
Published 2013“…This system involves the detection of fault connected to the microcontroller(PIC18F77A) and GSM modem. …”
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Ensemble deep learning approach for apple fruitlet detection from digital images
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Data-Glove-Based Hand Gesture Recognition System Using Flex Sensors And An Imu Sensor
Published 2017“…The proposed system was tested in recognizing 38 static and 12 dynamic hand gestures. The meaning of the hand gesture is displayed on GUI created in Raspberry Pi by using Python’s Tkinter programming. …”
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Monograph -
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Customer sentiment analysis through social media feedback
Published 2022“…Lasty, the performance of each model was compared to select the most accurate model and from the analysis, it can be concluded that Support Vector Machine gives the best performance in terms of accuracy, mean squared error, root mean squared error and area under ROC curve. …”
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Undergraduates Project Papers -
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