Search Results - (( developing usage modified algorithm ) OR ( java applications tree algorithm ))
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Development of transmission usage allocation scheme for deregulated power systems
Published 2008“…Finally, a new and an improved transmission usage allocation method have been developed for future of the Malaysian electric energy sector.…”
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Monograph -
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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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Article -
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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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Data modification attacks protection using blockchain signing and verification process in bluetooth low energy network / Aiman Nurrasyid Shahrul Kamil
Published 2020“…The issue of providing end-toend data protection should has been given highest priority by IoT application developer because the data in both private and public networks can be modified and disrupted by attacker. …”
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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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Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
Published 2017“…Presently, the Cuckoo Search algorithm is attracting unprecedented attention from the research community and applications of the algorithm are expected to increase in number rapidly in the future. …”
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Comparative of rivest-shamir-adleman Cryptosystem and its four variants using running time and memory Consumption analysis
Published 2024“…As a result, several researchers have developed various RSA-based cryptosystems to enhance the algorithm's performance while maintaining security. …”
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Comparative of Rivest-Shamir-Adleman cryptosystem and its four variants using running time and memory consumption analysis
Published 2024“…As a result, several researchers have developed various RSA-based cryptosystems to enhance the algorithm's performance while maintaining security. …”
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Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…Tuning and adaptation of the control algorithm had been demonstrated so developers can make use of them for their applications. …”
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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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A modified group authentication scheme for machine type communication in LTE/LTE-a networks
Published 2018“…The proposed method adopts two efficient algorithms, namely, the Encapsulated Double and Add algorithms which depend on the Tate Pairing form by the bilinear pairing cryptography. …”
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Thesis -
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Statistically controlled robust trust computing mechanism for cloud computing
Published 2014“…Trust computing mechanisms can play an important role in identifying the right service providers who would meet the commitments specified in the Service Level Agreements.Literature has reported several trust computing mechanisms for different distributed systems based on various algorithms and functions.Almost all of them modify the trust scores monotonously even for momentary performance deviations that are reported.This paper proposes a trust computing mechanism that statistically validates the attribute monitored before modifying the trust scores using a hysteresis based algorithm.Hence the proposed mechanism can protect the trust scores from changes due to momentary fluctuations in system performances.The experiments conducted show that the trust scores computed using the proposed mechanism are more representative of the long-term system performance than the ones that were computed without the validation of the inputs.…”
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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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Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris
Published 2017“…The performance of the developed VRTSA is evaluated and compared with three well-known downlink scheduling algorithms in LTE such as Proportional Fair (PF), Modified Largest Weight Delay First (MLWDF), Exponential Proportional Fair (EXP/PF) as well as recent algorithm called LTTI. …”
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Jawi recognition system
Published 2010“…The aim of this research is to develop software that able to recognize Jawi character. …”
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Undergraduates Project Papers -
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Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique
Published 2022“…Apart from that, DC-DC boost converter would be the intermediate in developing the algorithm to the system. The extraction of the maximum output power can be achieved through this mechanism. …”
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Final Year Project Report / IMRAD -
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Predicting motorcycle customization preferences using machine learning
Published 2025“…The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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Conference or Workshop Item -
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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