[HTML][HTML] Effects of co-curricular activities on student's academic performance by machine learning

SR Rahman, MA Islam, PP Akash, M Parvin… - Current Research in …, 2021 - Elsevier
The study project named" Effects of Co-Curricular Activities on Student's Academic
Performance Through Machine Learning" examines the effect of co-curricular activities on a …

An artificial intelligence based rainfall prediction using LSTM and neural network

I Salehin, IM Talha, MM Hasan, ST Dip… - … in engineering (WIE) …, 2020 - ieeexplore.ieee.org
The most difficult task of meteorology is to predict rainfall. In our study, we proposed an
amount of rainfall prediction model that can be easily determined using artificial intelligence …

Predicting satisfaction of online banking system in Bangladesh by machine learning

SF Shetu, I Jahan, MM Islam… - 2021 International …, 2021 - ieeexplore.ieee.org
Online banking refers to using your smartphone, tablet, or another internet-connected
computer to browse and access your bank account. It is quick and free, and it usually allows …

[PDF][PDF] IFSG: Intelligence agriculture crop-pest detection system using IoT automation system

I Salehin, SM Noman, IJ Baki-Ul-Islam… - Indonesian Journal of …, 2021 - academia.edu
Nowadays, the technological revolution is a great blessing for humanity. Similarly, Food is
very essential for human life which depends on agriculture revulsion. For the great …

[PDF][PDF] Impact on human mental behavior after pass through a long time home quarantine using machine learning

I Salehin, ST Dip, MT Iftakhar, I Rayhan… - International Journal of …, 2021 - researchgate.net
In the present situation, COVID-19 is a very common and dangerous issue in the whole
world. Ensuring our healthy mental state is very essential at the period of COVID-19. But as …

[HTML][HTML] Machine learning approach to predict the depression in job sectors in Bangladesh

NN Moon, A Mariam, S Sharmin, MM Islam… - Current Research in …, 2021 - Elsevier
Depression is a significant and growing issue that substantially affects an individual's way of
life, interrupting typical functioning and blocking viewpoints. At the same time, they may be …

Machine learning approach to predict SGPA and CGPA

M Saifuzzaman, M Parvin, I Jahan… - 2021 International …, 2021 - ieeexplore.ieee.org
The prediction of SGPA and CGPA is beneficial to university students. Students will easily
get an estimate of their final outcome from this project. As a result, the students will be able …

[PDF][PDF] Analysis of student sentiment during video class with multi-layer deep learning approach

I Salehin, NN Moon, IM Talha, MM Hasan… - International Journal of …, 2022 - academia.edu
The modern education system is an essential part of the rise of technology. The E-learning
education system is not just an experimental system; it is a vital learning system for the …

Predicting the depression level of excessive use of mobile phone: decision tree and linear regression algorithm

I Salehin, IM Talha, NN Moon… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
In this study, we apply advanced machine learning and regression analysis to find out the
depression level. The use of extreme mobile phones will impact human behavior …

[PDF][PDF] Cropland map** expansion for production forecast: rainfall, relative humidity and temperature estimation

PB Angon, I Salehin, MMR Khan… - International Journal of …, 2021 - researchgate.net
In the modern era agriculture development is the highly contribute field of food security. Data
Science is one of the top analysis experimental methods for forecasting and map** …