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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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E4ML: Educational Tool for Machine Learning
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A data mining approach to construct graduates employability model in Malaysia
Published 2011“…To achieve it, we use data sourced from the Tracer Study, a web-based survey system from the Ministry of Higher Education, Malaysia (MOHE) for the year 2009. …”
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…Conclusion: The findings demonstrated the application of ML algorithms and PCC to predict dental students’ academic performance. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
Published 2022“…Background: The dental school admission process involves establishing criteria for evaluating applicants, weighing the various admission criteria, and then comparing applicants based on selected criteria and weighting. …”
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Proceeding Paper -
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The aim of the research is to introduce novel form of swarm intelligence algorithms based on real echolocation behaviour of bats. …”
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…Its practical value is demonstrated through applications in residential, educational, and commercial buildings across various climate zones. …”
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A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm
Published 2013“…Each bat in Bat Algorithm represents a candidate solution for the problem and each dimension in the search space of the Bat Algorithm represents a parameter of intrinsic parameters: skew, focal length, and magnification factor. …”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]
Published 2022“…The results show that all the three machine learning algorithms produced high accuracy (above 95%) prediction results based on the hold-out testing dataset. …”
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Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]
Published 2023“…In addition, the availability of data from various academic information management systems in recent years had been increasing, causing classification to become a technique that is in demand by the educational institutes. …”
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Classification models for higher learning scholarship award decisions
Published 2018“…The knowledge obtained from the rules-based model was evaluated through knowledge analysis conducted by technical and domain experts. …”
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Enhancing fairness and efficiency in teacher placement based on staff placement model: an intelligent teacher placement selection model for Ministry of Education Malaysia
Published 2025“…The effectiveness of ITPS was evaluated using five machine learning algorithms: J48, Decision Tree, Naïve Bayes, Random Forest, and K-Nearest Neighbors. …”
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HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
Published 2023“…Swarm Intelligence is inspired by naturally occurring swarm systems suchas Ant Colony, Bees Hive, or Bats. The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. …”
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case
Published 2024“…The study employs descriptive and predictive analytics techniques to understand student performance patterns and forecast future outcomes based on family background factors. The practical application of this research lies in developing predictive models that inform data- driven decisions by educators and policymakers. …”
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Book Chapter -
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Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis
Published 2021“…This algorithm mainly based on the echolocation behavior of bats. …”
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Monograph -
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
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