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Statistical approach on grading: mixture modeling
Published 2006“…A solution to this problem is using the Markov Chain Monte Carlo method namely Gibbs sampler algorithm. The Gibbs sampler algorithm is applied using the WinBUGS programming package. …”
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Thesis -
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Enhancing problem-solving skills of novice programmers in an introductory programming course
Published 2023Article -
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ANN-based mango external quality grading system
Published 2017“…There are several types of algorithms that have been used to extract the features of fruit characters based on the physical parameters by capturing the fruit image and from the extracted information, those samples (mango fruit) will be detected, graded and sorted accordingly to the desired quality. …”
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Proceeding Paper -
5
A Conceptual Modeling Of Optical Properties Of Ruby Stone Using Charge-Coupled Device (CCD) Tomography Approach
Published 2024thesis::master thesis -
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Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection
Published 2019“…The FBTS integrated with automated edge-preserving regularization algorithm is implemented in C++ programming language executed in parallel computing. …”
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Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education
Published 2025journal-article -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique
Published 2005“…The digital image processing program enables longitudinal, transverse, and alligator cracking to be classified. …”
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Ferroptosis-related long noncoding RNA signature predicts the prognosis of clear cell renal cell carcinoma / Liu Jiawen
Published 2022“…It was concluded that these models demonstrate excellent performance in predicting prognosis among patients with ccRCC and which also indicated association with the clinicopathologic parameters such as tumor grade, tumor stage and tumor immune infiltration. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…Overall, deep learning using the Tensorflow.Keras (tf.keras) application programming interface (API) makes the development of the DCNN model easier. …”
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