Search Results - (( code application bat algorithm ) OR ( _ education model algorithm ))*

A Bat-inspired Strategy for Pairwise Testing by Alsariera, Yazan A., Mazlina, Abdul Majid, Kamal Z., Zamli

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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

“…Motion estimation in video compression process is computationally intensive for video encoder that involve a large percentage of processing time. Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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Performance analysis of feature selection algorithm for educational data mining by Zaffar, M., Hashmani, M.A., Savita, K.S.

“…Selecting relevant features for student prediction model is very sensitive issue for educational stakeholders, as they have to take decisions on the basis of results of prediction models. …”
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

“…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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A study of feature selection algorithms for predicting students academic performance by Zaffar, M., Savita, K.S., Hashmani, M.A., Rizvi, S.S.H.

“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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A study of feature selection algorithms for predicting students academic performance by Zaffar, M., Savita, K.S., Hashmani, M.A., Rizvi, S.S.H.

“…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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Harmony Search algorithm-based gasoline consumption modeling for Indonesia by Anggarani, Riesta, Watada, Junzo

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A framework for design of automated lecture timetabling using memetic algorithm / Zarina Zainul Rashid, Roslan Sadjirin and Norhafizah Hashim by Rashid, Zarina Zainul, Sadjirin, Roslan, Hashim, Norhafizah

“…In this paper, the writerspresent the use of memetic algorithm in the framework design with affective explorative ability to model huge search space. …”
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Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction by Ismanto, Edi, Ab Ghani, Hadhrami, Md Saleh, Nurul Izrin

“…These findings highlight the effectiveness of adaptive and genetic algorithms in enhancing LSTM model performance for VLE prediction, offering valuable insights for educational technology advancement.…”
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Exploring c Environment (S/O: 12826) by Abdul Rahman, Syariza, Ku Mahamud, Ku Ruhana, Ramli, Razamin, Benjamin, Aida Mauziah, Omar, Mohd Faizal

“…These constraints provide additional challenges in defining a suitable model and in finding a good timetable. The timetabling problem is to be rectified via hybridization of fly and suitable evolutionary algorithms. …”
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Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics by K., Kadirgama, M. M., Noor, M. S. M., Sani, M. M., Rahman, M. R. M., Rejab

“…Student performance is very crucial to any educational institution. The neural network and genetic algorithms (GA) method were used to measure student performance in Thermodynamic at Faculty of Mechanical Engineering, University Malaysia Pahang (UMP). …”
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Teletraffic performance of mobile cellular channel assignment using genetic algorithm by Kiong T.S., Ismail M., Hassan A.

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Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance by Alsariera Y.A., Baashar Y., Alkawsi G., Mustafa A., Alkahtani A.A., Ali N.

Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm by Ashraf, Erum

“…It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. …”
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A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection by Basheer G.S., Ahmad M.S., Tang A.Y.C.

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A data mining approach to construct graduates employability model in Malaysia by Sapaat, Myzatul Akmam, Mustapha, Aida, Ahmad, Johanna, Chamili, Khadijah, Muhamad, Rahamirzam

“…The performance of Bayes algorithms are also compared against a number of tree-based algorithms. …”
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Experimental Model for Teaching Software Testing by Kamal Z., Zamli, Hasneeza, L. Zakaria

“…In this paper, we propose the concept of teaching software testing with an experimental model for pairwise testing; developed with Migrating Birds Optimization (MBO) algorithm called Experimental Model for Teaching Software Testing (EMTST). …”
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia by Myzatul Akmam Sapaat, Aida Mustapha, Johanna Ahmad, Khadijah Chamili, Rahamirzam Muhamad

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Optimization of balanced academic curriculum problem in educational institutions using teaching learning based optimization algorithm by Mohd Fadzil Faisae, Ab Rashid, Wasif, Ullah

“…Future research could focus on enhancing TLBO through hybridization with other algorithms and applying it to real-world BACP scenarios in educational institutions.…”
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Modeling total quality management in higher education with case-based reasoning by Jani H.M.

“…The paper concludes with a TQM system model that applies genetic algorithm (GA) in case-based reasoning (CBR) that can be used as guidelines to total quality assurance and management in higher education. …”