Search Results - (( course evaluation between algorithm ) OR ( panel classification modeling algorithm ))
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Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes
Published 2024“…Statistical criteria, including recall, specificity, and area under the curve (AUC), are employed to assess model performance. The findings indicate that the GNB algorithm surpasses BNB, with a mean average precision (mAP) of 39.83% with an 85:15 training-test ratio, whereas BNB reaches a maximum mAP of 29.25% at a 90:10 ratio. …”
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…It was shown from the present preliminary investigation, that the k-NN model which employs k = 1 with an equal weight applied to the Euclidean distance metric yielded a classification accuracy of 85%. …”
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Object-oriented online course recommendation systems based on deep neural networks
Published 2024“…To tackle these issues, this paper introduces a comprehensive analysis and design of an object-oriented online course recommendation system. Employing a deep neural network algorithm for course recommendation, our system adeptly captures user preferences, course attributes, and intricate relationships between them. …”
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Object-oriented online course recommendation systems based on deep neural networks
Published 2024“…To tackle these issues, this paper introduces a comprehensive analysis and design of an object-oriented online course recommendation system. Employing a deep neural network algorithm for course recommendation, our system adeptly captures user preferences, course attributes, and intricate relationships between them. …”
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Graph theory approach for managing lecturers’ schedule using graph colouring method / Siti Nor Ba Basri, Nur Su’aidah Khozaid and Farhana Hazwani Ismail
Published 2023“…In this study, the scheduling problem is represented as a graph where vertices represent time slots and edges represent conflicts or dependencies between courses and lecturers. Different colours are allocated to each vertex using graph colouring techniques such as the vertices algorithm or the edges algorithm, ensuring that clashing courses and lecturers are assigned different time slots. …”
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Student Project -
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Determination of permeability characteristics of solid/liquid separation using simplex algorithm
Published 2013“…(iii) The optimum values of α1 and are searched by fitting theoretical time course of constant-pressure expression with experimental expression data by algorithm of simplex method. …”
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Proceeding Paper -
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…Attribute selection through Information Gain Attrite Evaluation model highlighted Program Code, Course Code and Type of Course as the strongest predictors of course approval and demand levels. …”
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Optimization Algorithms: A Comparison Study for Scheduling Problem at UIN Raden Fatah's Sharia and Law Faculty
Published 2024“…This study examines the effectiveness of optimization algorithms in improving the efficiency and quality of academic scheduling. …”
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Development Of Finite Element Codes For Shear Wall Analysis
Published 2008“…Moreover, the stress distribution evaluated by the developed FE code based on MOPT element formulation with coarse FE mesh, agrees well with the stress distributions given by the commercial packages where fine mesh was used. …”
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