An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators

R Anand, SV Lakshmi, D Pandey, BK Pandey - Evolving Systems, 2024 - Springer
Electrocardiogram (ECG) is one among the most common detecting techniques in the
analysis and detection of cardiac arrhythmia adopted due to its cost efficiency and simplicity …

A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features

G Sunitha, R Arunachalam… - … Journal of Imaging …, 2022 - Wiley Online Library
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …

A hybrid feature fusion deep learning framework for multi-source medical image analysis

Q Cao, X Cheng - Information Processing & Management, 2025 - Elsevier
Despite the widespread adoption of deep learning to enhance image classification,
significant obstacles remain. First, multisource data with diverse sizes and formats is a great …

Pneumonia transfer learning deep learning model from segmented X-rays

AH Alharbi, HA Hosni Mahmoud - Healthcare, 2022 - mdpi.com
Pneumonia is a common disease that occurs in many countries, more specifically, in poor
countries. This disease is an obstructive pneumonia which has the same impression on …

Convolutional Neural Network dalam Citra Medis

D Gunawan, H Setiawan - KONSTELASI: Konvergensi Teknologi dan …, 2022 - ojs.uajy.ac.id
Penggunaan deep learning dapat diaplikasikan di berbagai bidang seperti pendidikan,
bisnis, pertanian, pertambangan, internet of things (IoT), keamanan cyber, perkiraan cuaca …

[PDF][PDF] Pulmonary diseases decision support system using deep learning approach

Y Al-Issa, AM Alqudah, H Alquran… - Comput. Mater …, 2022 - cdn.techscience.cn
Pulmonary diseases are common throughout the world, especially in developing countries.
These diseases include chronic obstructive pulmonary diseases, pneumonia, asthma …

Automatic Detection of Cases of COVID‐19 Pneumonia from Chest X‐ray Images and Deep Learning Approaches

F Hajjej, S Ayouni, M Hasan… - Computational Intelligence …, 2022 - Wiley Online Library
Machine learning has already been used as a resource for disease detection and health
care as a complementary tool to help with various daily health challenges. The …

COVID‐19: A systematic review of prediction and classification techniques

OR Varma, M Kalra, S Kirmani - International Journal of …, 2023 - Wiley Online Library
COVID‐19 has affected more than 760 million people all over the world, as per the latest
record of the WHO. The rapid proliferation of COVID‐19 patients not only created a health …

Attenuate class imbalance problem for pneumonia diagnosis using ensemble parallel stacked pre-trained models

A Ravikumar, H Sriraman - Computers, Materials and Continua, 2023 - Elsevier
Pneumonia is an acute lung infection that has caused many fatalities globally. Radiologists
often employ chest X-rays to identify pneumonia since they are presently the most effective …

[PDF][PDF] A Hybrid DenseNet201-SVM for Robust Weed and Potato Plant Classification

MD Fauzi, FD Adhinata, NG Ramadhan… - J. Ilm. Tek. Elek. Kom …, 2022 - researchgate.net
Potato plant growth needs to be protected from weeds that grow around it. Currently, the
manual spraying of pesticides by farmers is not only precise on weeds but also on cultivated …