Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Systematic literature review on machine learning and student performance prediction: Critical gaps and possible remedies
Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …
students, and predicting students' success during the term, at the end of the term, or in the …
Analysis and prediction of students' academic performance based on educational data mining
G Feng, M Fan, Y Chen - IEEE Access, 2022 - ieeexplore.ieee.org
The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …
rapid growth of educational data indicates traditional processing methods may have …
Lemurs optimizer: A new metaheuristic algorithm for global optimization
The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper.
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …
Research on learning behavior patterns from the perspective of educational data mining: Evaluation, prediction and visualization
G Feng, M Fan - Expert Systems with Applications, 2024 - Elsevier
The rapid growth of educational data creates the requirement to mine useful information
from learning behavior patterns. The development of data mining technology makes …
from learning behavior patterns. The development of data mining technology makes …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
Enhanced binary genetic algorithm as a feature selection to predict student performance
SS Shreem, H Turabieh, S Al Azwari, F Baothman - Soft Computing, 2022 - Springer
Students' performance prediction systems play a vital role in enhancing the educational
performance inside universities, schools, and training centers. Big data can come from …
performance inside universities, schools, and training centers. Big data can come from …
An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems
H Gezici, H Livatyali - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization
algorithm that has been used for the solution of test functions and real-world problems by …
algorithm that has been used for the solution of test functions and real-world problems by …
Enhancement of E-Learning student's performance based on ensemble techniques
Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …
graduates and postgraduates each year. One of the critical concerns of decision-makers is …
An improved heterogeneous comprehensive learning symbiotic organism search for optimization problems
AO Abdulsalami, M Abd Elaziz… - Knowledge-Based …, 2024 - Elsevier
Abstract The Symbiotic Organism Search (SOS) algorithm, and most of its variants, exhibit
the same search behaviour. That is, each organism or individual in the ecosystem applies …
the same search behaviour. That is, each organism or individual in the ecosystem applies …