[PDF][PDF] Novel Approaches to Detect Phony Profile on Online Social Networks (OSNs) Using Machine Learning

MF Shan, V Verma, A Dwivedi, DY Perwej… - … Journal of Scientific …, 2023 - researchgate.net
Currently, almost everyone spends more time on online social media platforms engaging
with and exchanging information with people from all over the world, from children to adults …

Development of Online Clearance System Using Web-Based System

A AlSideiri, RM Tawafak, G AlFarsi… - 2023 Fifth …, 2023 - ieeexplore.ieee.org
Computer Software, an Online-based clearance system, is an internet-based system that
effectively manages information for colleges and universities. The aim of this study is to …

Predicting and staging chronic kidney disease using optimized random forest algorithm

S Samet, MR Laouar, I Bendib - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The silent killer Chronic Kidney Disease (CKD) in wealthy countries and listed with the
leading causes of death in impoverished countries. Because of its rising incidence, CKD is …

[PDF][PDF] State of the Art Machine Learning Techniques for Detecting Fake News

A Dwivedi, BB Dumka, S Kumar… - International J. of …, 2023 - researchgate.net
The social media has significantly changed how we communicate and exchange information
throughout time. Along with it comes the issue of fake news' quick spread, which may have …

AUTOMATED DIABETES DISEASE PREDICTION SYSTEM BASED ON RISK FACTORS ASSESSMENT: TAKING CHARGE OF YOUR HEALTH

N Sad-Houari, H Reguieg, C Bachiri… - Jordanian Journal of …, 2023 - search.proquest.com
Diabetes is one of the most common diseases worldwide and its prevalence rate continues
to rise. This increase is due to factors related to nutrition and lifestyle on the one hand and to …

Using Emerging Deep Convolutional Neural Networks (DCNN) Learning Techniques for Detecting Phony News

N Singh, N Akhtar, MS Rabbani, Y Perwej… - International Journal of …, 2024 - hal.science
Over the years, social media has revolutionized the way people share and receive
information. The rapid dissemination of false information is another concern that may have …

[PDF][PDF] An Evolutionary Fake News Detection Based on Tropical Convolutional Neural Networks (TCNNs) Approach

V Verma, A Dwivedi, P Kajal, D Agarwal… - 2023 - researchgate.net
Fake News is a wide-ranging everyday phenomenon that is swiftly becoming into a
persistent problem impacting people, the public, and the corporate sectors [1]. This important …

A Comparative Analysis of Machine Leaming-Based Classifiers for Predicting Diabetes

N Aggarwal, CB Basha, A Arya… - … Conference on Advanced …, 2023 - ieeexplore.ieee.org
Diabetes, caused by insulin resistance, is a global health issue. Mismanagement of this
chronic condition is impacted by a sedentary lifestyle, aging, food, dietary habits, and …

A Predictor Generator for Healthcare Applications

K Periyasamy, A Kaivelikkal… - … Conference on Electrical …, 2022 - ieeexplore.ieee.org
Many healthcare applications now utilize machine learning algorithms to analyze a patient's
history, to assist in di-agnosis, and to possibly predict the next stage of patient's health. This …

An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest

BN Arunakumari, A Rai… - Data Science and Data …, 2021 - api.taylorfrancis.com
R is the language of choice used in data analysis today. It allows for accurate statistical
analysis and graphical data representation. Over the years, R has gained popularity owing …