Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Medical.
with the previous works, achieving an accuracy of 99.6%. 3.4. Computational Efficiency The proposed lightweight CNN model has extremely low end to end time of 54.60(±0.06) ms. The proposed model has 0.67 M trainable parameters, 26 M FLOPS and a smaller memory requirement of only 7.96 MB. Authors