Clinical applications of artificial intelligence—an updated overview

Ș Busnatu, AG Niculescu, A Bolocan… - Journal of clinical …, 2022 - mdpi.com
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact

A Aldoseri, KN Al-Khalifa, AM Hamouda - Sustainability, 2024 - mdpi.com
Digital transformation systems generate a substantial volume of data, creating opportunities
for potential innovation, particularly those driven by artificial intelligence. This study focuses …

Dual authentication voting system with facial recognition and fingerprint using CNN

P Asha, VB Vidhya, B Ankayarkanni… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Voting is one of the notably common and basic right of all citizens of the country. In the latest
loksabha election 2019, conducted in India, only 67.1% vote was being recorded …

Single Channel EEG Based Binary Sleep and Wake Classification using Entropy Based Features

YA Khan, M Tahreem, O Farooq - … International Conference on …, 2023 - ieeexplore.ieee.org
This paper proposes a novel method for binary sleep and Wake classification using entropy-
based features extracted from a single-channel electroencephalogram (EEG). This study …

Analysis and Identification of Sleep Apnea by availing Random Forest and SVM

P Asha, V Sabarish, V Vishnu… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Sleep problems have been the subject of extensive research throughout history. One of the
significant sleep disorders that endanger human life is sleep apnea, which we commonly …

A General Preprocessing Pipeline for Deep Learning on Radiology Images: A COVID-19 Case Study

K Echabbi, E Zemmouri, M Douimi, S Hamdi - EPIA Conference on …, 2022 - Springer
During the last years, deep learning has been used intensively in medical domain making
considerable progress in the diagnosis of diseases from radiology images. This is mainly …

Human Emotion Recognition System using Residual Connections

LKJ Grace, MP Selvan, P Asha… - 2022 Third …, 2022 - ieeexplore.ieee.org
The goal is to use a Multi-Branch Cross-Connected Convolutional neural network to
construct a new model for expression detection based on a novel face decomposition. CNN …

Multi Deep Learning Based Approaches for COVID-19 Diagnosis Using Class Resampling on Chest X-ray Images

TB Alakuş, M Baykara - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi - dergipark.org.tr
Nowadays, current medical imaging techniques provide means of diagnosing disorders like
the recent COVID-19 and pneumonia due to technological advancements in medicine …

Estimation of Impurities Present in an Iron Ore Using CNN

P Asha, KP Chandra, K Durgaprashanth… - … Conference on Soft …, 2023 - Springer
Iron ore is a crucial raw material for the production of steel, but its quality is dependent on
the presence of impurities. In this study, we aimed to estimate the impurities present in an …