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 …
The United States of America (USA) is the prominent country targeted by these international …
[PDF][PDF] A Comparative Study on University Admission Predictions Using Machine Learning Techniques
P Golden, K Mojesh, LM Devarapalli… - International Journal of …, 2021 - academia.edu
In this era of Cloud Computing and Machine Learning where every kind of work is getting
automated through machine learning techniques running off of cloud servers to complete …
automated through machine learning techniques running off of cloud servers to complete …
Graduate admission chance prediction using deep neural network
Every year many students apply for graduate admission to different universities. To select an
applicant, each university has different selection criteria such as GRE score, CGPA …
applicant, each university has different selection criteria such as GRE score, CGPA …
A machine learning approach for predicting student enrollment in the university
B Ujkani, D Minkovska… - 2021 XXX International …, 2021 - ieeexplore.ieee.org
The Matura exam is the final national examination that high school students in many
countries must pass to be eligible for admission to a university. This paper discusses the key …
countries must pass to be eligible for admission to a university. This paper discusses the key …
University admission prediction using Google Vertex AI
For a pursuing graduate student, shortlisting the colleges could be an intense issue. College
undergraduates frequently have an inclination to ponder over the chance that their profile …
undergraduates frequently have an inclination to ponder over the chance that their profile …
A university admission prediction system using stacked ensemble learning
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 …
Since an application is extremely dynamic, students often tend to wonder if their profile …
Predicting freshmen enrollment based on machine learning
L Yang, L Feng, L Zhang, L Tian - The Journal of Supercomputing, 2021 - Springer
The enrollment rate of freshmen has always been a headache for colleges and universities.
It is also very difficult to accurately predict the number of freshmen before they register. In …
It is also very difficult to accurately predict the number of freshmen before they register. In …
Predicting the post graduate admissions using classification techniques
S Jeganathan, S Parthasarathy… - … on Emerging Smart …, 2021 - ieeexplore.ieee.org
Decision making by applying data mining methods is being used in many service
organizations. Educational bodies gradually started to use the business intelligence …
organizations. Educational bodies gradually started to use the business intelligence …
Demystifying and Anticipating Graduate School Admissions using Machine Learning Algorithms
One of the many aspirations of undergraduate students in India is going for further graduate
studies. Unfortunately, many students spend months and years of preparation focusing on …
studies. Unfortunately, many students spend months and years of preparation focusing on …
Employing Deep Neural Network for Early Prediction of Students' Performance
S Garg, A Aleem, MM Gore - Intelligent Systems: Proceedings of ICMIB …, 2021 - Springer
Educational institutions aim to deliver quality education and motivate students to perform
better in academic examinations. The early prediction of students' performance helps to …
better in academic examinations. The early prediction of students' performance helps to …