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Prediction of Machine Failure by Using Machine Learning Algorithm
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Final Year Project -
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BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning
Published 2023“…Android (operating system); Android malware; Classification (of information); Feature Selection; Learning systems; Mobile security; Android apps; Classification models; Feature weight; Features selection; Machine learning algorithms; Machine-learning; Malware detection; Malwares; Memory usage; Selection techniques; Learning algorithms…”
Article -
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Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
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Automated feature selection using boruta algorithm to detect mobile malware
Published 2020“…Boruta algorithm is used to select features automatically for assisting the machine learning. …”
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Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
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Undergraduates Project Papers -
6
Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
Published 2024“…Therefore, a fuzzy model based on machine learning and data mining is a vital solution. …”
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Article -
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Design of a pattern classification system using extreme learning machine
Published 2024text::Final Year Project -
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Design of a pattern classification system using extreme learning machine
Published 2023text::Final Year Project -
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PREDICTIVE ANALYTICS FOR CRUDE OIL PRICE USING RNN�LSTM NEURAL NETWORK
Published 2019“…There are many examples of Machine Learning algorithms been able to reach satisfactory results when doing that type of prediction. …”
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Final Year Project -
10
A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
Proceedings Paper -
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Predicting motorcycle customization preferences using machine learning
Published 2025“…Recent developments in artificial intelligence have expanded the role of machine learning in analyzing human behavior across various domains. …”
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Conference or Workshop Item -
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Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain
Published 2020“…To counter this problem, a system has been proposed to detect the hand gesture using one of the machine learning technique which is Support Vector Machine (SVM) Algorithm. …”
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Thesis -
13
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
14
Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…More recently, cyber-attacks have also been on the rise and SQL injection attacks are some of major threats to data security. AI and machine learning have come a long way, however their usage in cybersecurity is still somewhat nascent. …”
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Article -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Automated system for concrete damage classification identification using various classification techniques in machine learning / Nur Haziqah Mat ... [et al.]
Published 2021“…To overcome the issues, datasets of reinforced concrete damage images are intelligently trained and classified by selected Machine Learning algorithms such as Naïve- Bayesian, Discriminant Analysis, K-Nearest Neighbor, and Support Vector Machine. …”
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Conference or Workshop Item -
18
Provider independent cryptographic tools
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Monograph -
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar
Published 2016“…Machine learning frameworks have been utilised to facilitate intelligence as operational mechanism in intelligence embedded system such as learning system, prediction protocol and robot navigation system. …”
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Thesis -
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Intrusion detection on the in-vehicle network using machine learning
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Proceeding Paper
