[HTML][HTML] Deep learning-based school attendance prediction for autistic students

M Jarbou, D Won, J Gillis-Mattson, R Romanczyk - Scientific Reports, 2022 - nature.com
Abstract Autism Spectrum Disorder is a neurodevelopmental disorder characterized by
deficits in social communication and interaction as well as the presence of repetitive …

Deep learning in diverse computing and network applications student admission predictor using deep learning

P Nandal - Proceedings of the International Conference on …, 2020 - papers.ssrn.com
In today's era ample numbers of students pursue the education far from the home country.
The United States of America (USA) is the prominent country targeted by these international …

A predictive model for predicting students academic performance

F Aman, A Rauf, R Ali, F Iqbal… - 2019 10th International …, 2019 - ieeexplore.ieee.org
Predicting students' academic performance in advance is of great importance for parents,
management of higher education institutions and the student itself. Selection of a right …

A university admission prediction system using stacked ensemble learning

S Sridhar, S Mootha, S Kolagati - 2020 Advanced Computing …, 2020 - ieeexplore.ieee.org
For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

Deep Learning for Predicting Students' Academic Performance

A Yunita, HB Santoso… - 2019 Fourth International …, 2019 - ieeexplore.ieee.org
The use of Deep Learning to predict what happens in the future becomes more popular
because of great availability of data. This study proposes the power of Deep Learning to …

[HTML][HTML] Student achievement prediction using deep neural network from multi-source campus data

X Li, Y Zhang, H Cheng, M Li, B Yin - Complex & Intelligent Systems, 2022 - Springer
Finding students at high risk of poor academic performance as early as possible plays an
important role in improving education quality. To do so, most existing studies have used the …

A machine learning approach for graduate admission prediction

A AlGhamdi, A Barsheed, H AlMshjary… - Proceedings of the 2020 …, 2020 - dl.acm.org
With the increase in the number of graduates who wish to pursue their education, it becomes
more challenging to get admission to the students' dream university. Newly graduate …

[HTML][HTML] Student performance prediction with short-term sequential campus behaviors

X Wang, X Yu, L Guo, F Liu, L Xu - Information, 2020 - mdpi.com
As students' behaviors are important factors that can reflect their learning styles and living
habits on campus, extracting useful features of them plays a helpful role in understanding …

[HTML][HTML] Predicting high-risk students using learning behavior

T Liu, C Wang, L Chang, T Gu - Mathematics, 2022 - mdpi.com
Over the past few years, the growing popularity of online education has enabled there to be
a large amount of students' learning behavior data stored, which brings great opportunities …

A data mining based approach to predict autism spectrum disorder considering behavioral attributes

SB Shuvo, J Ghosh, AS Oyshi - 2019 10th International …, 2019 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a disease connected to the growth of brain. It affects a
person's way of communication and behavior. It impacts a person's way of understanding …