Search Results - (( web applications learning algorithm ) OR ( some application using (algorithmic OR algorithms) ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project is developed by using Rapid Application Development methodology as it is the model that is most suitable for developing this web tools. …”
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Thesis -
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Applying learning to filter text
Published 2005“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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Conference or Workshop Item -
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Fake news detection: A machine learning approach
Published 2021“…These models were evaluated in order to pick one to be deployed to the web application. The final model chosen to be deployed was a model trained using a Multinomial Naïve Bayes algorithm.…”
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Final Year Project / Dissertation / Thesis -
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Stock indicator scanner customization tool using deep reinforcement learning
Published 2022“…This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
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Final Year Project / Dissertation / Thesis -
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim
Published 2017“…Second, network aware applications architecture for E-Learning system was also proposed to dynamically adjust the users' demand based on network resources. …”
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Thesis -
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Visual codebook analysis in image understanding / Hoo Wai Lam
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A practical and interactive web-based software for online Qur’anic Arabic learning
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Proceeding Paper -
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A practical and interactive web-based software for online Qur'anic Arabic learning
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Proceeding Paper -
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A Web-Based Wound Information and Recovery Prediction System
Published 2020“…The web application allows the doctors or patients to access and document the wound assessments whenever and wherever using any platform that can access the web. …”
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Final Year Project Report / IMRAD -
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Mobile tour guide application with attraction recognition for UTAR Kampar campus
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Final Year Project / Dissertation / Thesis -
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Detection and analysis of fake reviews on online service portal
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Final Year Project / Dissertation / Thesis -
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Customer sentiment analysis through social media feedback
Published 2022“…The data were then split into training and testing to be tested on the three different supervised learning algorithms used in this study which are Support Vector Machine, Random Forest, and Naïve Bayes. …”
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Undergraduates Project Papers -
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Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…E-Learning is one of the Web based application where it will facing with large amount of data. …”
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Thesis -
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Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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Thesis -
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Cryptography: A New Approach of Classical Hill Cipher
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Article