A deep ensemble neural network with attention mechanisms for lung abnormality classification using audio inputs
Medical audio classification for lung abnormality diagnosis is a challenging problem owing
to comparatively unstructured audio signals present in the respiratory sound clips. To tackle …
to comparatively unstructured audio signals present in the respiratory sound clips. To tackle …
q-Spherical fuzzy rough Einstein geometric aggregation operator for image understanding and interpretations
The combination of q-spherical fuzzy sets and rough sets has emerged as a useful paradigm
for fuzzy mathematics and decision-making. The hybrid structure of q-spherical fuzzy sets …
for fuzzy mathematics and decision-making. The hybrid structure of q-spherical fuzzy sets …
Voltage control in a ZETA Converter compared with a DC-DC converter by varying duty cycle
K Manish, SJ Rubavathy… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
Objective of this work is to regulate the output voltage by using voltage control with different
modulation techniques. Materials and Methods: A Zeta converter (ZC) is compared with a …
modulation techniques. Materials and Methods: A Zeta converter (ZC) is compared with a …
A contemporary machine learning approach to detect transportation mode-A case study of Borlänge, Sweden
A Golshan - 2020 - diva-portal.org
Understanding travel behavior and identifying the mode of transportation are essential for
adequate urban devising and transportation planning. Global positioning systems (GPS) …
adequate urban devising and transportation planning. Global positioning systems (GPS) …