Search Results - (( based observations learning algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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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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Article -
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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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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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Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition
Published 2024“…Recently, more robust algorithms based on deep reinforcement learning (DRL) have been proposed. …”
Conference Paper -
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Implementation of machine learning algorithm in preventing network congestion
Published 2023text::Final Year Project -
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Object based segmentation and analysis using deep learning algorithm for cats and dogs images
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Final Year Project / Dissertation / Thesis -
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Improved intrusion detection algorithm based on TLBO and GA algorithms
Published 2021“…The experiments were performed on the prominent intrusion machine-learning datasets (KDDCUP’99 and CICIDS 2017), where significant enhancements were observed with the suggested NTLBO algorithm as compared to the classical TeachingLearning-Based Optimization algorithm (TLBO), NTLBO presented better results than TLBO and many existing works. …”
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Article -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Improving the exploration strategy of an automated android GUI testing tool based on the Q-Learning algorithm by selecting potential actions
Published 2022“…Furthermore, the proposed techniques based on the Q-Learning algorithm do not consider context-based actions. …”
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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…We utilized the enhanced Q-Learning algorithm to compare actions, including context-based actions, to effectively achieve higher code coverage. …”
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Thesis -
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Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
Published 2024“…Statistical models and machine learning algorithms automatically learn and improve based on data. …”
Review -
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An adaptive HMM based approach for improving e-Learning methods
Published 2023“…Maladaptive e-Learning systems cannot impart quality content for each student as the users observe the information based on their exclusive learning traits. …”
Conference Paper -
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Prediction of earnings manipulation on Malaysian listed firms: A comparison between linear and tree-based machine learning
Published 2021“…Furthermore, the most outperformed algorithm has been presented by the linear based machine learning, which produced the best accuracy in the shortest total time completion. …”
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Classification of Unhealthy Chicken based on Chromaticity of the Comb
Published 2023Conference Paper -
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Machine learning modeling for radiofrequency electromagnetic fields (RF-EMF) signals from mmWave 5G signals
Published 2023“…As a result, it can be observed that the Exact-RBFNN algorithm is the best algorithm to predict the RF-EMF because it shows good agreement with the measured value. …”
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Article -
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Multi-Agent Reinforcement Learning For Swarm Robots Formation
Published 2021“…The reinforcement learning algorithm offers one of the most general frameworks in learning subjects to address some of the control issues in a multi-agent system. …”
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Monograph -
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Machine learning-based leukemia classification using gene expression for accurate diagnosis
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