A brief survey on AI based face mask detection system for public places

S Balaji, B Balamurugan, TA Kumar… - … Journal of Science & …, 2021 - papers.ssrn.com
The corona virus which can be also called as SARS COVID-19 is spreading over the world
among the peoples and led to cause a global pandemic. The spreading of the virus forced …

Ensemble learning based on hybrid deep learning model for heart disease early prediction

A Almulihi, H Saleh, AM Hussien, S Mostafa… - Diagnostics, 2022 - mdpi.com
Many epidemics have afflicted humanity throughout history, claiming many lives. It has been
noted in our time that heart disease is one of the deadliest diseases that humanity has …

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering

D Sharifrazi, R Alizadehsani… - Mathematical …, 2022 - researchers.mq.edu.au
Myocarditis is the form of an inflammation of the middle layer of the heart wall which is
caused by a viral infection and can affect the heart muscle and its electrical system. It has …

A research review on fetal heart disease detection techniques

G Someshwaran, V Sarada - 2022 6th International …, 2022 - ieeexplore.ieee.org
The study is intended to be in accordance with recent World Health Organization (WHO)
findings on Congenital heart disorders (CHD), the most frequent heart condition and feasible …

Design of advanced security system using vein pattern recognition and image segmentation techniques

G Rajakumar, T Ananth Kumar - … concepts of image processing and pattern …, 2022 - Springer
As a biometric trademark, finger vein established-based technology is exceptionally right for
persona clear attestation with high security. The vibe of an individual or lady ID shape is …

G-Sep: A deep learning algorithm for detection of long-term sepsis using bidirectional gated recurrent unit

R Rajmohan, TA Kumar, EG Julie… - … Journal of Uncertainty …, 2022 - World Scientific
Sepsis is a common and deadly condition that must be treated eloquently within 19 hours.
Numerous deep learning techniques, including Recurrent Neural Networks, Convolution …

Data visualization for healthcare

S Usharani, PM Bala, R Rajmohan… - … Systems for E …, 2022 - taylorfrancis.com
Data visualization is the pictorial representation of the key indicators and patterns in a data.
Compared with a large dataset or numbers, humans are evolved in a way they can …

Integrated implementation of hybrid deep learning models and IoT sensors for analyzing solider health and emergency monitoring

S Usharani, R Rajmohan, PM Bala… - … and Systems for …, 2022 - ieeexplore.ieee.org
Facing death by soldiers is happening all the time. They never wriggle out of their
responsibility. They fight in utmost hard places in territories, on peaks and foothills, in …

Bridging Horizons in Diabetes Prediction: A Comparative Exploration of Machine Learning and Deep Learning Approaches in Pima Indian Women

LCS Reddy, M Gottipalli, P Sravanthi… - … on Advancement in …, 2024 - ieeexplore.ieee.org
This study has demonstrated that diabetes prediction models will require powerful machine
learning and anomaly detection methodologies in practice. Researchers are exploring novel …

Advance deep learning technique for big data classification in IDS environment

A Kundaliya, P Juyal - 2021 Third International Conference on …, 2021 - ieeexplore.ieee.org
Deep-learning techniques are utilized extensively to construct an intrusion detection system
(IDS) for the timely and automated detection as well as classification of cyber assaults at …