Search Results - (( developing square detection algorithm ) OR ( java application clustering algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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Square groove detection based on forstner with canny edge operator using laser vision sensor
Published 2023“…The objectives of 1his research are to develop a detection algorithm 1hat can extract 1he feature points of1he square-groove; and 1he second objective is to evaluate 1he detection algorithm and its ability to extract 1he image features of 1he square-groove in temis of 1he accuracy. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Final Year Project -
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Development of automatic pest sampling and detection system for cash crops
Published 2019“…Different kernel functions such as disk, diamond, square, and sphere are used as matching functions for insect detection and counting algorithm. …”
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Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
Published 2023“…This research has 3 objectives To develop algorithms for detecting heart conditions as either abnormal or normal using the modified cognitive map (CM) approach, To develop detection algorithms for anomalous heart conditions based on the enhancement of Certainty Factor (CF) technique, and To evaluate and validate the effectiveness of the new proposed model specifically the Certainty Cognitive Map (CCM) for identifying heart defects. …”
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Development of an automated multidirectional pest sampling detection system using motorized sticky traps
Published 2021“…Different kernel functions, such as disk, diamond, square, and sphere, were used as matching functions for the insect detection and counting algorithm. …”
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Shot boundary detection based on orthogonal polynomial
Published 2019“…The moments are computed using a developed OP which is squared Krawtchouk-Tchebichef polynomial. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Road Sign Detection and Recognition System for Real-Time Embedded Applications
Published 2011“…In this paper, we propose a road sign detection and recognition algorithm for an embedded application, which requires computationally simple but accurate algorithms. …”
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Neural network algorithm-based fall detection modelling
Published 2020“…High recognition of developed fall detection model is very significance for the elderly to detect the falls. …”
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A hybrid intrusion detection system based on different machine learning algorithms
Published 2013“…There are numerous study in intrusion detection system (IDS) especially with Genetic algorithms (GA) and Support Vector Machine (SVM) but most of them did not get the potential of hybrid SVM using GA. …”
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Drone Based People Counter And Tracking Using Unique Id Using Opencv Python
Published 2020“…The algorithm is developed so that it is capable to detect various objects by applying a bounding box on the frame image. …”
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Monograph -
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration
Published 2014“…This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. …”
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