Search Results - (( _ location based algorithm ) OR ( web application ((tree algorithm) OR (bees algorithm)) ))
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Objects tracking from natural features in mobile augmented reality
Published 2013“…Real world objects are recognized by tracking less and tracking based techniques. Mobile augmented reality browsers are tracking less systems, which acquires location data using global positioning system and provide information in the form of maps or web links. …”
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
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Conference or Workshop Item -
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An optimized attack tree model for security test case planning and generation
Published 2018“…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony
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Academic Exercise -
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Car dealership web application
Published 2022“…In this project, a web application and a web service were proposed and implemented. …”
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Final Year Project / Dissertation / Thesis -
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An improved framework for content and link-based web spam detection: a combined approach
Published 2021“…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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Thesis -
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
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Cyberbullying detection: a machine learning approach
Published 2022“…Machine learning is a hot topic and it is widely implemented in software, web application and more. Those algorithms are used in the classification or regression model to predict an input. …”
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Final Year Project / Dissertation / Thesis -
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Defect green coffee bean detection using image recognition and supervised learning
Published 2022“…The model was integrated as web application with Flask where user can upload the image and the system will return result with precision and prediction. …”
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Academic Exercise -
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An Automated System For Classifying Conference Papers
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Final Year Project / Dissertation / Thesis -
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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Academic Exercise -
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Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan
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Thesis -
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The algorithm exploits all interests and preferences in a hierarchy tree structure. …”
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Enhanced location and positioning in wimax networks with virtual mimo base station
Published 2015“…Furthermore, a new hybrid algorithm enhancement of mobile station (MS) location estimation by using a single MIMO base station (SMBS) with the virtual base station has been introduced. …”
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Comparative study of machine learning algorithms in data classification
Published 2025“…The results will help with real-world data mining applications of machine learning and be a useful guide for further study and practical applications.…”
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Final Year Project / Dissertation / Thesis -
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Design/methodology/approach – Prediction approach to location determination based on historical data has attracted a lot of attention in recent studies, the reason being that it offers the convenience of using previously accumulated location data to subsequently determine locations using predictive algorithms. …”
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