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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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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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Mining Sequential Patterns using I-PrefixSpan
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7
Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…Security and privacy pose serious challenges in designing IoE environment which can be addressed by developing effective Intrusion Detection Systems (IDS). In this background, the current study develops Intelligent Multiverse Optimization with Deep Learning Enabled Intrusion Detection System (IMVO-DLIDS) for IoT environment. …”
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Visualization Tool for Pathfinding Algorithms
Published 2023“…The tool's primary objective is to provide students with a visual representation of algorithmic processes, enabling them to grasp the underlying concepts more effectively. …”
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Final Year Project Report / IMRAD -
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The effect of adaptive parameters on the performance of back propagation
Published 2012“…The results show that the proposed algorithm extensively improves the learning process of conventional Back Propagation algorithm.…”
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10
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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Predictive Modelling of Stroke Occurrence among Patients using Machine Learning
Published 2023“…The model exhibited excellent sensitivity and specificity, enabling effective stratification of patients based on their stroke likelihood. …”
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
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Final Year Project / Dissertation / Thesis -
13
Autonomous Positioning Of Unmanned Aerial Vehicle (UAV) For Power Lines Insulator Detection
Published 2024“…A set of labelled insulator images is trained in the selected machine learning algorithm, enabling it to accurately determine the length of insulators in new images. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Here, the memory consumption can be reduced by enabling a feature selection algorithm that excludes nonrelevant features and preserves the relevant ones. the algorithm is developed based on the variable length of the PSO. …”
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15
AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things
Published 2023“…A chest X-ray dataset is used to compare the deep ensemble model against six transfer learning algorithms. The comparative investigation demonstrates that the suggested approach facilitates swift and effective diagnosis of COVID-19 suspicious patients, providing valuable support to radiologists. …”
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
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Final Year Project / Dissertation / Thesis -
17
Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning
Published 2022“…It requires handling a high level of nonlinearity and dynamics device. The aim is to enable accurate target tracking by UAV with responding to the dynamic generated by the target such as sudden trajectory change using reinforcement learning which is proved to learn dynamic effectively. …”
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
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Final Year Project / Dissertation / Thesis -
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PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
Published 2020“…The accuracy of each machine learning algorithm will be recorded and analyze to come up with the best model for the dataset. …”
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Final Year Project -
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A comparative analysis of predicting heart disease using machine learning algorithms
Published 2026“…The purpose of this study is to investigate the potential of machine learning algorithms in forecasting heart disease and compare the performance of each algorithm. …”
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