Search Results - (( developing consumer confusion algorithm ) OR ( java application stemming algorithm ))
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1
Article recommendation system using content-based filtering / Muhammad Hazrul Afiq Kamaruddin
Published 2024“…In this study, article recommendation system using content-based filtering was designed and developed to address the challenges. The algorithm used is able to generate relevant article recommendations based on the content of the article. …”
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2
Covid-19 Fake News Detection Model On Social Media Data Using Machine Learning Techniques
Published 2023“…This disinformation may confuse consumers, perhaps causing worry. It is hard to counter the widespread dissemination of disinformation. …”
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Undergraduates Project Papers -
3
A deep learning approach for facial detection in targeted billboard advertising / Lau Sian En
Published 2025“…The evaluation process encompasses real-time performance analysis and testing using the Wikipedia dataset, evaluating the accuracy, precision, recall, F1-score, and confusion matrices. The system’s capacity to provide targeted advertising not only enhances user experience but also greatly enhances consumer engagement. …”
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4
Paddy Plant (Oryza Sativa) Disease Detection Based On Improved Convolution Neural Network
Published 2023“…However, the applied algorithms of machine learning have some drawbacks in terms of time consuming, complex architecture, high computational cost, and the ability of the model to perform with more various types of paddy disease. …”
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Final Year Project Report / IMRAD -
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COVID-19 fake news detection model on social media data using machine learning techniques
Published 2023“…This disinformation may confuse consumers, perhaps causing worry. It is hard to counter the widespread dissemination of disinformation. …”
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Conference or Workshop Item -
6
A hybrid unsupervised approach toward EEG epileptic spikes detection
Published 2018“…One of the most important artifacts that may be confused as an epileptic spike, due to morphological resemblance, is eye blink. …”
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Article -
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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