Search Results - (( java implementation tree algorithm ) OR ( distant learning process 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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2
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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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. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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5
Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm
Published 2023“…GA optimizer is used in MLNN-GA where the result of each learning weight will be the initial weight of the next learning process. …”
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Hyperspectral anomaly detection leveraging spatial attention and right-shifted spectral energy
Published 2025“…The K-nearest neighbor (KNN) algorithm facilitates the creation of edges between pixels, enabling the incorporation of distant pixels and improving resilience to noise and local irregularities. …”
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Speech emotion recognition using spectrogram based neural structured learning
Published 2022“…As a result, rather than processing data and making judgments from far distant data sources, the decision-making could be made closer to where the data lives. …”
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Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data
Published 2020“…The observations whose anomaly scores are significantly distant from â��abnormalâ�� ones will be assumed as â��normalâ��. …”
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