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 …
centric education to students. Despite the huge volume of data available with educational …
Development of an improved convolutional neural network for an automated face based university attendance system
Because of the flaws of the present university attendance system, which has always been
time intensive, not accurate, and a hard process to follow. It, therefore, becomes imperative …
time intensive, not accurate, and a hard process to follow. It, therefore, becomes imperative …
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 …
Early prediction of students' final grades in a gamified course
The main challenge in higher education is student retention. While many methods have
been proposed to overcome this challenge, early and continuous feedback can be very …
been proposed to overcome this challenge, early and continuous feedback can be very …
Swarm intelligence and evolutionary algorithms in processing healthcare data
Healthcare system in research in recent years has been in the frontline of research, and
researchers has been tried to create several artificial intelligence (AI) models to solving the …
researchers has been tried to create several artificial intelligence (AI) models to solving the …
Prediction of Student's Academic Performance Using Learning Analytics
Academic performance is the assessment of knowledge gained by students for a particular
period. Therefore, predicting student's academic performance is a vital part of quality …
period. Therefore, predicting student's academic performance is a vital part of quality …
RFID-Based Student Identification Card Attendance Monitoring System
Abstract Passive (low-frequency) radio-frequency identification (RFID) technology is being
used in an increasing number of contactless systems. This project presents contactless …
used in an increasing number of contactless systems. This project presents contactless …
Classification of Depression, Anxiety, and Quality of Life in Diabetic Patients with Machine Learning: Systematic Review
H Bourkhime, N Qarmiche, N Bahra, M Omari… - … Conference on Artificial …, 2023 - Springer
Background: Diabetes is a chronic and costly disease that is emerging in low-and middle-
income countries. Current research suggests that diabetes may be associated with …
income countries. Current research suggests that diabetes may be associated with …
A Convolutional Neural Network Framework for Predicting Student Drop Out in Universities
VJ Kendagor, G Chemwa, W Cheruyoit - 2023 IEEE AFRICON, 2023 - ieeexplore.ieee.org
The phenomenon of student attrition is common in almost all universities if not all over the
world and its effects are felt at several levels be it at society level or the personal level of …
world and its effects are felt at several levels be it at society level or the personal level of …
RFID-Based Student Identification Card Attendance Monitoring System Check for updates
Abstract Passive (low-frequency) radio-frequency identification (RFID) technology is being
used in an increasing number of contactless systems. This project presents contactless …
used in an increasing number of contactless systems. This project presents contactless …