Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective

SH Hemal, MAR Khan, I Ahammad, M Rahman… - Social Network Analysis …, 2024 - Springer
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …

RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

P Theerthagiri… - Multimedia Tools and …, 2023 - Springer
Health is an essential concern for everyone, so it is necessary to facilitate medical services
that are easily accessible to everyone. The primary goal of this work is to predict liver …

Prediction of the Computer Science Department's Educational Performance Through Machine Learning Model by Analyzing Students' Academic Statements

MA Hossain, I Ahammad, MK Ahmed… - Artificial Intelligence …, 2023 - ojs.wiserpub.com
In this digital world, technology is changing every second. For this reason, tech-based
educational departments should be aware of their strong and weak areas. By doing so, they …

Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection

KMA Uddin, FS Prity, M Tasnim, SN Jannat… - Human-Centric …, 2023 - Springer
The COVID-19 pandemic has unleashed an unprecedented global crisis, releasing a wave
of illness, mortality, and economic disarray of unparalleled proportions. Numerous societal …

Cricket Players Selection for National Team and Franchise League using Machine Learning Algorithms

M Robel, MAR Khan, I Ahammad… - Cloud Computing and …, 2024 - ojs.wiserpub.com
Cricket player selection is a crucial task for both national teams and franchise leagues.
Traditionally, selectors rely on their experience and knowledge to evaluate a player's …

Prediction of impacts and outbreak of COVID-19 on the society using distinct machine learning algorithms

TT Chaity, MAR Khan, F Rahman - Iran Journal of Computer Science, 2023 - Springer
The COVID-19 pandemic has substantially impacted daily wage workers in various
professions due to restrictions such as lockdowns and social distancing measures. COVID …

Advancing Stock Market Predictions with Time Series Analysis Including LSTM and ARIMA

I Ahammad, WA Sarkar, FA Meem… - Cloud Computing and …, 2024 - ojs.wiserpub.com
Predicting stock market prices accurately is a major task for investors and traders seeking to
optimize their decision-making processes. This research focuses on the comparative …

Predict Fires with Machine Learning Algorithms

A Korchi, A Abatal, F Messaoudi - The International Conference on …, 2023 - Springer
In a previous article, we described the steps involved in creating a Machine Learning
project, which are frequently difficult to construct and require the problem to be divided into …

Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction

YS Choi, E Oh - Advances in Engineering and Intelligence …, 2024 - aeis.bilijipub.com
This paper presents a study on utilizing machine learning algorithms for predicting liver
cirrhosis with a focus on enhancing accuracy rates. Through comprehensive …

Measuring Some Vital Indicators in The Liver of People Without Breakfast Compared to The Control Group

FHH Al Khafaji, RMM Al-Ghazali - Egyptian Academic Journal of …, 2024 - journals.ekb.eg
Breakfast is considered one of the necessary natural activities, as it works to relax the body,
as the liver produces ketones in the body by using them as energy, and when you eat …