Search Results - (( program specialization method algorithm ) OR ( java applications tree algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Encrypted mobile messaging application using AES block cipher cryptography algorithm / Nur Rasyiqah Zulkifli
Published 2019“…The only way to read the messages is to know the method and the algorithm used in this project, which only the sender and the receiver will have the special key. …”
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Student Project -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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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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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Conference or Workshop Item -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Physical and computational modeling for finite element analysis
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Conference or Workshop Item -
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi
Published 2015“…For solving TTRP, a variety of algorithms have been applied earlier but TTRPSD programming has not yet solved. …”
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Thesis -
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An efficient method for audio watermarking using SWT and mean value quantization
Published 2016“…A robust, imperceptible and high capacity algorithm is proposed by using the stationary wavelet transform and the quantization index modulation technique with new synchronization method. …”
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Multi-objective evolutionary programming for solving economic dispatch problem
Published 2023Article -
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Prime-based method for interactive mining of frequent patterns
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Thesis -
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Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. …”
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Thesis -
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Effect of viscous dampers on yielding mechanisms of RC structures during earthquake
Published 2015“…A special finite element computer program was codified based on the developed algorithm. …”
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Path Following Using A Learning Neural Network
Published 2004“…The thesis differs from [2] in a sense that different types of neural controller are established to achieve a better path following accuracy. Two algorithms, gradient descent and quasi-Newton which utilize a batch training method, are introduced as comparison to the gradient descent method that incorporates the online (or incremental) training method. …”
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Final Year Project -
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A review of classification techniques for electromyography signals
Published 2023“…All of the ML classifiers have their own algorithm, special specification, pros and cons based on the available input. …”
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Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…Objectives: The main objective of the study is to classify the severity level of FLS disease in soybean using hyperspectral reflectance data and machine learning algorithms. Materials and Methods: We used hyperspectral reflectance data from healthy and FLS of soybeans. …”
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