Search Results - (( programming model detection algorithm ) OR ( java application learning algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…The performance of Java programming model and native programming model are compared with respect to the execution time for blood vessel detection. …”
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Thalassaemia detection using CBR Algorithm via mobile device
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Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
Published 2024“…These issues affect the system's performance and reduce diabetic disease detection accuracy. Hence, the research objective is to create an improved diabetic disease detection system using a Flock Optimization Algorithm-Based Deep Learning Model (FOADLM) feature modeling approach that leverages the PIMA Indian dataset to predict and classify diabetic disease cases. …”
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Reactive power imbalance method for islanding detection in micro-grid operation
Published 2014“…As the result, the performance of the Reactive Power Imbalance method for the islanding detection state is compared with the simulation model without control algorithm. …”
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Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
Published 2022“…This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. …”
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WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.]
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Research Reports -
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Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm
Published 2023“…The detection algorithm will be develop based on a modified AlexNet model. …”
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Final Year Project Report / IMRAD -
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Fault detection with optimum March Test Algorithm
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Methods of intrusion detection in information security incident detection: a comparative study
Published 2018“…Focus will be given to research that have produced new intrusion detection algorithms, framework and model as well as their gaps in the research. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection
Published 2022“…The significance of the extracted output is evaluated with the topic modelling algorithm (LDA model algorithm) for the purpose of predictive supply risk. …”
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Final Year Project Report / IMRAD -
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Analysis Of Human Detection Method In Social Distancing Monitoring
Published 2022“…There are another additional 300 customed datasets are used to test the human detection and social distancing detection using the same detection model. …”
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Undergraduates Project Papers -
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Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…A classifier model is developed using Naive Bayes characteristics. …”
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