Search Results - (( intelligence assisted learning algorithm ) OR ( intelligence model learning algorithm ))
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An intelligent risk management framework for monitoring vehicular engine health
Published 2022“…We used machine learning and deep learning algorithms to assess the effectiveness of the risk management system’s decision model. …”
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Prediction Of Petroleum Reservoir Properties Using Nonlinear Feature Selection And Ensembles Of Computational Intelligence Techniques
Published 2015“…In this thesis, new non-linear feature-selection assisted methods and ensemble learning models are proposed. …”
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Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm
Published 2024“…Around one thousand images were selected in Roboflow for the train dataset. The model utilises the YOLO V8 deep learning algorithm in the Google Colab environment and is trained using a custom dataset managed by the Roboflow dataset manager. …”
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Development of a hybrid PSO-ANN model for estimating glucose and xylose yields for microwave-assisted pretreatment and the enzymatic hydrolysis of lignocellulosic biomass
Published 2018“…The PSO algorithm suggested an optimum number of neurons in the hidden layer as 15 and a learning rate of 0.761 these consequently used to construct the ANN model. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
Published 2022“…Over the past few years, Machine-learning algorithms and Artificial intelligence models have demonstrated great ability to optimize and automate critical solid waste and waste management complications. …”
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A systematic review of machine learning techniques and applications in soil improvement using green materials
Published 2023“…Additionally, the approaches covered in this research will assist geotechnical practitioners in understanding the strengths and weaknesses of artificial intelligence algorithms compared to other traditional mathematical modeling techniques.…”
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
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Development of Scoliotic spine severity detection using deep learning Algorithms
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Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…This research proposed a swarm intelligence training algorithm, Improved African Buffalo Optimization algorithm (IABO) based on the Metaheuristic method called the African Buffalo Optimization algorithm (ABO). …”
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A systematic review of machine learning techniques and applications in soil improvement using green materials
Published 2023“…Additionally, the approaches covered in this research will assist geotechnical practitioners in understanding the strengths and weaknesses of artificial intelligence algorithms compared to other traditional mathematical modeling techniques.…”
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Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models
Published 2024“…This research employs the YOLOv8 model, which is a deep learning algorithm, to determine the most effective methods for detecting skin diseases. …”
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Three agents namely SemanticAgentGUI, semanticAgent and noviceAgent are designed in the proposed model. The running system shows an OOP semantic knowledge representation by intelligent agents.…”
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Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The scale-up experiment showed that the proposed algorithm is more scalable than the other existing algorithms. …”
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Backpropagation algorithm for classification problem: academic performance prediction model for UiTM Melaka Mengubah Destini Anak Bangsa (MDAB) program. / Fadhlina Izzah Saman, Nur...
Published 2012“…There is no existing tool to assist faculties in estimating the number of students that can achieve the objective, hence a prediction model using Backpropagation Algorithm is proposed by using a case study of UiTM Bandaraya Melaka Bachelor of Administrative Science students. …”
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Research Reports -
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Permodelan Rangkaian Neural Buatan Untuk Penilaian Kendiri Teknologi Maklumat Guru Pelatih
Published 2001“…Data containing eleven predictive variables was used to train and test neural network model. The research procedures chosen were the multi-layered perceptron with back propagation algorithmic learning. …”
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