Search Results - (( _ application a algorithm ) OR ( based education ((bat algorithm) OR (based algorithm)) ))*
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Educational video recommender system for computer science students using content-based filtering / Walid Burhani Mohd Zamani
Published 2025“…The objective is to study the content-based algorithm, to develop the prototype of educational video recommendation system using content-based filtering algorithm and to evaluate the performance and accuracy of the content-based filtering algorithm. …”
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E4ML: Educational Tool for Machine Learning
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…In terms of the applications, The DCFP is more suitable to be used for education applications, while the SNBR is a good algorithm designed to be used for rescue system as data and energy is the main concern. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Image encryption algorithm based on chaotic mapping
Published 2003“…This paper discusses an alternative symmetric-key encryption algorithm for securing images, namely Secure Image Encryption (SIP) that is based on chaos. …”
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Development of the Multipurpose Integrated Multimedia Presentation System Based on the CCM Algorithm
Published 2010“…This paper describes a multipurpose integrated multimedia presentation system (IMPS) based on channel controller model (CCM) algorithm. …”
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…TF-IDF Algorithm technique is performed to develop system by calculating the most relevant pages in the textbook based on keyword that entered by user’s query. …”
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Weed recognition based on erosion and dilation segmentation algorithm
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…In HMDB51 dataset, the proposed average detection accuracy of ST-GCN action recognition algorithm based on MediaPipe framework reaches 88.3%. …”
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…The good quality of educational dataset can produce better results and hence the decisions based on such quality dataset can increase the quality of education by predicting the performance of students. …”
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A study of feature selection algorithms for predicting students academic performance
Published 2018“…The good quality of educational dataset can produce better results and hence the decisions based on such quality dataset can increase the quality of education by predicting the performance of students. …”
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Towards Software Product Lines Optimization Using Evolutionary Algorithms
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Research On Photovoltaic Mppt Control Method Based On Improved Bas Algorithm And Variable Step-Size Inc Method
Published 2024“…In this study, a MPPT control method based on IBAS and VSINC was proposed to obtain a better performance in MPPT.…”
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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An Algorithm for Summarizing Strategies Identification
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Algorithm animation for cryptanalysis of caesar and hill ciphers / Sapiee Haji Jamel and Giuseppina Sherry Sayan
Published 2009“…This new trend gives an advantage to cryptanalyst since types of algorithm(s) used are no longer a secret. Cryptanalysis steps can be easily explained using algorithm animation that can be easily integrated with any e-learning platform. …”
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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