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Classification of students' performance in computer programming course according to learning style
Published 2024Subjects:Conference Paper -
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Classification of Students' Performance in Computer Programming Course According to Learning Style
Published 2024“…The critical point of this study is the use of classification algorithm to extract patterns which are examined from the cognitive factor specific learning style. …”
Proceedings Paper -
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat
Published 2017“…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Penilaian esei berbantukan komputer menggunakan teknik Bayesian dan pengunduran linear berganda
Published 2006“…MMB Technique only required a small size of training data. (3) Prediction process of writing style using Multiple Linear Regression (MLR) Algorithm. …”
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Converged Classification Network For Matching Cost Computation
Published 2020“…The proposed convolutional neural network designed with the output neurons in the classification part scaled-downin converging style. The raw cost generated aggregated by the normalized box filter. …”
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Discovering student learning styles in engineering mathematic at Politeknik Merlimau using neural network techniques
Published 2015“…If questionnaires are too long, students tend to choose both answers arbitrarily instead of thinking about the result of the student’s learning style observed through analysis. This research identified the classification of students learning styles based on the Felder Silverman Learning dimension. …”
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A selective mitigation technique of soft errors for DNN models used in healthcare applications: DenseNet201 case study
Published 2021“…In this paper, we propose a selective mitigation technique that relies on in-depth analysis. …”
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Correlated survivability analysis model for manets
Published 2014“…In addition, new algorithm also prevents network topology from partitioning. …”
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Performances analysis of heart disease dataset using different data mining classifications
Published 2018“…There are many studies that explore the different classification algorithms for classification and prediction of heart disease. …”
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Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron
Published 2017“…Therefore, this research work proposes design and development of single-phase PV SAPF with a new DC-link capacitor voltage control algorithm named as indirect self- charging with step size error cancellation, and a new harmonics extraction algorithm named as simplified ADALINE. …”
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Semantic shot classification in soccer videos via playfield ratio and object size considerations.
Published 2013“…This paper presents a semantic shot classification algorithm for soccer videos. Generally, each shot within a match video is assigned either a far or close up-view class label. …”
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Human gait recognition and classification using similarity index for various conditions
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Proceeding Paper -
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Image-based air quality estimation using convolutional neural network optimized by genetic algorithms: A multi-dataset approach
Published 2025“…These improvements underscore the effectiveness of Genetic Algorithms in optimizing the model.…”
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