A review of SARS-CoV-2 drug repurposing: Databases and machine learning models

M Elkashlan, RM Ahmad, M Hajar, F Al Jasmi… - Frontiers in …, 2023 - frontiersin.org
The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
posed a serious worldwide threat and emphasized the urgency to find efficient solutions to …

Educational data mining for student performance prediction: A systematic literature review (2015-2021)

MB Roslan, C Chen - … of Emerging Technologies in Learning (iJET), 2022 - learntechlib.org
This systematic literature review aims to identify the recent research trend, most studied
factors, and methods used to predict student academic performance from 2015 to 2021. The …

Educational data mining for predicting students' academic performance using machine learning algorithms

P Dabhade, R Agarwal, KP Alameen… - Materials Today …, 2021 - Elsevier
Educational data mining has gained impressive attention in recent years. The primary focus
of educational institutions is to provide quality education for students to enhance academic …

Automated system for classification of COVID-19 infection from lung CT images based on machine learning and deep learning techniques

B Guhan, L Almutairi, S Sowmiya, U Snekhalatha… - Scientific reports, 2022 - nature.com
The objectives of our proposed study were as follows: First objective is to segment the CT
images using a k-means clustering algorithm for extracting the region of interest and to …

Academic performance prediction using machine learning: A comprehensive & systematic review

P Chakrapani, D Chitradevi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Educational Institutions face numerous challenges today in providing quality and student-
centric education to students. Despite the huge volume of data available with educational …

Development of machine learning models for classification of tenders based on UNSPSC standard procurement taxonomy

B Abdullahi, YM Ibrahim, AD Ibrahim… - International …, 2024 - inderscienceonline.com
Nigerian public procuring entities are gradually transitioning from manual-based
procurement processes to digital-based processes. One of the key processes being …

Feature optimization and machine learning for predicting students' academic performance in higher education institutions

A Perkash, Q Shaheen, R Saleem, F Rustam… - Education and …, 2024 - Springer
Developing tools to support students, educators, intuitions, and government in the
educational environment has become an important task to improve the quality of education …

Implementation of ensemble method on dna data using various cross validation techniques

BU Bawankar, K Chinnaiah - … glosas de innovación aplicadas a la …, 2022 - dialnet.unirioja.es
Due to the growing size of datasets, which contain hundreds or thousands of features,
feature selection has drawn the interest of many scholars in recent years. Usually, not all …

Optimization Analysis of Neural Network Algorithms Using Bagging Techniques on Classification of Date Fruit Types

R Pramudita, N Safitri - 2022 Seventh International …, 2022 - ieeexplore.ieee.org
To perform an optimization One of the machine learning algorithms is by using Ensemble
Learning. The main problem in this study is to increase the accuracy of the neural network …

A Strategic Review on Offensive Data Identification Over Social Networking Environment Using Machine Learning Techniques

R Priya - 2023 International Conference on Circuit Power …, 2023 - ieeexplore.ieee.org
The social networking environment has evolved globally and dramatically in recent years.
Peoples in the world needs a social networking platform to quickly communicate and share …