We replace the multiplication and sigmoid function of the conventional
r...
The concept of image similarity is ambiguous, meaning that images that a...
Deep perceptual loss is a type of loss function in computer vision that ...
With the expansion of AI-powered virtual assistants, there is a need for...
Increasing complexity and data-generation rates in cyber-physical system...
Measuring the similarity of images is a fundamental problem to computer
...
In the process industry, condition monitoring systems with automated fau...
Realizing the potential of mixed-signal neuromorphic processors for
ultr...
This work investigates three different loss functions for autoencoder-ba...
Spiking neurons can perform spatiotemporal feature detection by nonlinea...
Autoencoders are commonly trained using element-wise loss. However,
elem...
Spiking neural networks implemented in dynamic neuromorphic processors a...
Modern large-scale automation systems integrate thousands to hundreds of...
Condition monitoring is central to the efficient operation of wind farms...
Condition-based predictive maintenance can significantly improve overall...