Search Results - (( java implementation phase algorithm ) OR ( program detection model algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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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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Undergraduates Project Papers -
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Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
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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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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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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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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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Designing a New Model for Worm Response Using Security Metrics
Published 2024“…This worm response model is called as eZSiber, inspired by apoptosis or also known as cell-programmed death. …”
Proceedings Paper -
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Software regression test case prioritization for object-oriented programs using genetic algorithm with reduced-fitness severity
Published 2015“…This paper propose an optimized regression test case selection and prioritization for object-oriented software based on dependence graph model analysis of the source code and optimized the selected test case using Genetic Algorithm. …”
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