Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …

In the field of human-machine interaction, gesture recognition using sparse multichannel
surface electromyography (sEMG) remains a challenge. Based on the Hilbert filling curve, a …

Adsorption cooling and desalination technologies have recently received more attention.
Adsorption chillers, using eco-friendly refrigerants, provide promising abilities for low-grade …

This paper presents the autoencoder-generative adversarial network (AGAN) in the analysis
of mammograms. The AGAN architecture is used to augment the data by generating …

Deep learning has transformed the field of data analysis by dramatically improving the state
of the art in various classification and prediction tasks, especially in the area of computer …

Background Although abundant literature is currently available on the use of deep learning
for breast cancer detection in mammography, the quality of such literature is widely variable …

This research delves into the application of machine learning methods for predicting the
yield of potato varieties used for French fries in Poland. By integrating a comprehensive …

The paper presents a novel approach for designing the CNN structure of improved
generalization capability in the presence of a small population of learning data. Unlike the …

Voice acoustic analysis can be a valuable and objective tool supporting the diagnosis of
many neurodegenerative diseases, especially in times of distant medical examination …

Deep learning (DL) has transformed the field of data analysis by dramatically improving the
state of the art in various classification and prediction tasks, especially in the area of …