Real-time systems are widely used in industry, including technological process control systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
P Theerthagiri - Biomedical Signal Processing and Control, 2025 - Elsevier
Healthcare is the key for everyone to run daily life, and health diagnosing techniques should be accessible easily. Indeed, the early identification of liver disease will be supportive for …
Diagnosis of cardiovascular diseases is an urgent task because they are the main cause of death for 32% of the world's population. Particularly relevant are automated diagnostics …
O Pronina, O Piatykop - CTE Workshop Proceedings, 2023 - acnsci.org
The paper proposes a solution to improve the efficiency of recognition of speech defects in children by processing the sound data of the spectrogram based on convolutional neural …
M Nagaraju, P Chawla - Neural Computing and Applications, 2023 - Springer
Convolutional neural network, a strong deep learning technique, is used to detect diseases and perform image processing, recognition, and disease classification. The neural network …
The global COVID-19 pandemic began in December 2019 and spread rapidly around the world. Worldwide, more than 230 million people fell ill, 4.75 million cases were fatal. In …
F Yang, Y Qiao, P Hajek, MZ Abedin - Expert Systems with Applications, 2024 - Elsevier
In medical risk prediction, such as predicting heart disease, machine learning (ML) classifiers must achieve high accuracy, precision, and recall to minimize the chances of …
The liver is the largest organ of the human body with more than 500 vital functions. In recent decades, a large number of liver patients have been reported with diseases such as …
This paper is related to the study of the features of the neural technologies' application, in particular, ResNet neural networks for the classification of objects in photographs. The work …