Search Results - (( using 3d based algorithm ) OR ( java application ((mining algorithm) OR (learning algorithm)) ))
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Thesis -
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Direct approach for mining association rules from structured XML data
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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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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Thesis -
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Path planning for unmanned aerial vehicles using visibility line-based methods
Published 2011“…The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. …”
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Thesis -
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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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Thesis -
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Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof
Published 2021“…Therefore, this research aims to analyse the randomness of 3D-AES, a local SPN-based block cipher algorithm. …”
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Thesis -
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Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system
Published 2019“…Then, the pixelated line segments are connected to form single/multiple contour loops using contour loop algorithm. The results of each algorithms are thoroughly evaluated. …”
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Research Report -
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A new KD-3D-CA block cipher with dynamic S boxes based on 3D cellular automata
Published 2019“…In this thesis, new algorithms are proposed for the key generation, encryption and decryption module of KD-3D-CA block cipher based on von Neumann (3D) cellular automata. …”
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Thesis -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Noise Reduction using Mean Shift Algorithm for Estimating 3D Shape
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Citation Index Journal -
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A study of stochastic algorithms for 3D articulated human body tracking
Published 2013“…The second part focused on evolutionary optimization algorithms based effective tracking. Currently these two types of algorithms are most extensively used for tracking due to their ability to solve highly nonlinear problems and their consideration uncertainties in the pose estimation. …”
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