The coronavirus first appeared in China in 2019, and the World Health Organization (WHO)
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …

Stroke, categorized under cardiovascular and circulatory diseases, is considered the second
foremost cause of death worldwide, causing approximately 11% of deaths annually. Stroke …

In recent years, convolutional neural networks (CNNs) have demonstrated their ability to
solve problems in many fields and with accuracy that was not possible before. However, this …

The coronavirus occurred in Wuhan (China) first and it was declared a global pandemic. To
detect coronavirus X-ray images can be used. Convolutional neural networks (CNNs) are …

Stochastic computing (SC) has a substantial amount of study on application-specific
integrated circuit (ASIC) design for artificial intelligence (AI) edge computing, especially the …

Local learning schemes have shown promising performance in spiking neural networks
(SNNs) training and are considered a step toward more biologically plausible learning …

A convolutional neural network (CNN) classifies images with high accuracy. However, CNN
operation requires a large number of computations which consume a significant amount of …

Convolutional neural networks (CNNs) are to be effective in many application domains,
especially in the computer vision area. In order to achieve lower latency CNN processing …

Enabled by the availability of both excitatory and inhibitory post-synaptic currents, a
biological neural network is inherently capable of implementing more sophisticated non …

As domain-specific training data is recognized as valuable intellectual property, acquiring
well-trained weights in convolutional neural networks (CNN) has emerged as a new threat to …