Prediction of COVID-19 growth and trend using machine learning approach

E Gothai, R Thamilselvan, RR Rajalaxmi… - Materials Today …, 2023 - Elsevier
Abstract The Covid-19 Corona Virus, also known as SARS-CoV-2, has wreaked havoc
around the world, and the condition is only getting worse. It is a pandemic disease …

Machine learning algorithms for early diagnosis of diabetes mellitus: A comparative study

V Rawat, S Joshi, S Gupta, DP Singh… - Materials Today …, 2022 - Elsevier
A huge majority of people all over the globe are coping with the devastating effects of
diabetes, and many of them are not being identified early enough. Diabetes has become …

Fuzzy logics associated with neural networks in the real time for better world

GP Reddy, Y Deepika, KS Prasad, GK Kumar - Materials Today …, 2017 - Elsevier
According to the science and technology a neural network is a computer system modeled on
the human brain and nervous system. Neural network model represent complex input/output …

Learning analytics using deep learning techniques for efficiently managing educational institutes

RK Veluri, I Patra, M Naved, VV Prasad… - Materials Today …, 2022 - Elsevier
Increasing numbers of higher education institutions see themselves as service providers,
catering primarily to the needs of its students. The improvement of student performance is a …

Applications of artificial intelligence in business management, e-commerce and finance

H Pallathadka, EH Ramirez-Asis, TP Loli-Poma… - Materials Today …, 2023 - Elsevier
In the e-commerce and financial industries, AI has been deployed to achieve better
customer experience, efficient supply chain management, improved operational efficiency …

Review on machine and deep learning models for the detection and prediction of Coronavirus

AW Salehi, P Baglat, G Gupta - Materials Today: Proceedings, 2020 - Elsevier
The novel Coronavirus disease has increased rapidly in the Wuhan city of China in
December 2019. This fatal virus has spread across the whole world like a fire in different …

[PDF][PDF] A scrutiny on brain tumour classification using deep learning technique

K Padmapriya, S Divya… - Materials Today …, 2021 - researchgate.net
abstract People of all ages with brain tumour are one of the most severe cancers, and their
grade identification is a tough issue for health surveillance and automatic diagnosis by …

Analysis of oral squamous cell carcinoma into various stages using pre-trained convolutional neural networks

A Ramalingam, P Aurchana… - IOP Conference …, 2020 - iopscience.iop.org
Oral cancer is a commonly prevalent disease in the world. Cancer begins when alterations
in healthy cells take place and grow gradually. Finally, it forms a mass called cancer. In …

[HTML][HTML] The artificial intelligence (AI) role for tackling against COVID-19 pandemic

AH Shamman, AA Hadi, AR Ramul, MMA Zahra… - Materials Today …, 2023 - Elsevier
COVID-19 gains from the research and technology component's establishment of
information science, artificial intelligence, and computer understanding. The article aims to …

An analysis to understand the role of machine learning, robotics and artificial intelligence in digital marketing

RSK Boddu, AA Santoki, S Khurana, PV Koli… - Materials Today …, 2022 - Elsevier
Focusing on the assumption that both physical and cognitive activities may be substituted by
Artificial Intelligence, Machine Learning, and Robotics, this study explored the role of …