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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…These data are processed and stored in appropriate formats in a MySQL server database. 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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Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations
Published 2013“…The BFO algorithm is used to create machine cells and part families. …”
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Mining Sequential Patterns using I-PrefixSpan
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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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Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…Therefore, for this proposes good benchmarked algorithm, bacteria foraging algorithm is selected and developed to solve multiobjective cell formation model and traced constraints satisfaction handling to produce feasible optimal solution. …”
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A Comparative Study on Compression of Different Image File Formats
Published 1999“…In this project, an image compression format and algorithm has been analyses. A system has been created for user to convert or display image file format. …”
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BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…In addition, a newly developed BFA-based optimization algorithm for CF based on operation sequences is discussed. …”
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…However, there are very few algorithms or decision engines available that could actually be used by decision-makers to aid in the process of forming a football team. …”
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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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Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman
Published 2012“…After testing the developed jigsaw puzzle by comparing the result with automatic jigsaw puzzle solver using Backtracking algorithm, it shows that Backtracking algorithm are not suitable algorithm to be used to develop the interactive jigsaw puzzle because it takes longer time in solving the game as compared to Backtracking algorithm that used in automatic jigsaw puzzle solver that was found in previous research.…”
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Coalition formation for throughput enhancement via one-sided matching theory
Published 2016“…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario…”
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Proceeding Paper -
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Coalition formation for throughput enhancement via one-sided matching theory
Published 2016“…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario.…”
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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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Throughput enhancement in cognitive radio network via coalition formation using matching theory
Published 2015“…In the proposed model we make use of one sided matching theory to develop an algorithm for the cognitive radios to form coalitions of varying size to improve their individual gains (.e.g. throughput and probability of false alarm). …”
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Improvement and application of particle swarm optimization algorithm
Published 2025“…When developed for a group of Wheeled Mobile Robots (WMR), a Fault Tolerant Formation Control (FTFC) technique is designed to protect against serious actuator defects. …”
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Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…This research aimed to determine the optimal feeding strategy for fed-batch baker’s yeast fermentation process using the deep reinforcement learning algorithm in maximising the final production of yeast, while minimising the undesired ethanol formation. …”
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Development of Digital Image Processing Algorithms via FPGA Implementation
Published 2024“…They are the most popular algorithms used in digital image processing. Microsoft Paint is used to convert the format of the color input image to bitmap format, followed by MATLAB to convert it into a hexadecimal file to be read and written in FPGA. …”
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