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Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar
Published 2012“…Others have been looking beyond into the animal kingdom to learn how ants find their way to the food source.…”
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Research Reports -
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An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
Published 2020“…Therefore, with the use of deep learning open-source tools land pre-existed models from KERAS. …”
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Student Project -
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Revolutionizing video analytics: a review of action recognition using 3D
Published 2024“…It also addresses the practicalities of implementing action recognition algorithms in real-world situations, which include tools like deep learning frameworks, pre-trained models, open-source libraries, cloud services, GPU acceleration, and evaluation metrics. …”
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A review unveiling various machine learning algorithms adopted for biohydrogen productions from microalgae
Published 2023“…Accordingly, machine learning algorithms have been employed to overcome setbacks, as these approaches have the capability to predict nonlinear interactions and handle multivariate data from microalgal biohydrogen studies. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Conference or Workshop Item -
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Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms
Published 2023“…The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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Final Year Project Report / IMRAD -
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…The proposed machine learning algorithm extracts various trust features such as Co-Location Relationship (CLR), Co-Work Relationship (CWR), Cooperativeness-Frequency-Duration (CFD), and Reward (R) to obtain a robust trust rating of sensor devices and predict future misbehavior. …”
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Career recommender system in Malaysia using content-based filtering / Muhammad Luqman Shamsul
Published 2025“…Using the real-time data from the trusted source such as JobStreet is recommended to improve the system in the future. …”
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Thesis -
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Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…As a result, although customers may receive an excellent interactive features programme, the backend algorithm is not optimized. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The NPO is inspired by the lifestyle of the nomads. The proposed algorithm simulates the behavior of the nomads when they are searching for life sources (water or grazing fields). …”
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Thesis -
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Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique
Published 2017“…Using the number of trees between 2,500-3,500, learning rate of 0.01, and interaction depth of 5 were found to be the best setting for developing the ozone boosting model. …”
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Performance evaluation and prediction analysis of a novel catalytic combustion heating technology in an open cold emergency environment / Qin Mingyuan
Published 2024“…Finally, to enable the heater to be more intelligent, a human-machine interactive heating strategy was established. Five machine learning algorithms were compared to construct predictive models. …”
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Thesis
