Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-
art algorithms in Machine Learning (ML), speech recognition, computer vision, natural …

Deep learning revolutionized data science, and recently its popularity has grown
exponentially, as did the amount of papers employing deep networks. Vision tasks, such as …

This paper presents a state‐of‐the‐art review of recent control algorithms used primarily for
vibration control of smart structures and machines. Control algorithms can be divided into …

Abstract An Earthquake Early Warning System (EEWS) can save lives. It can also be used to
manage the critical lifeline infrastructure and essential facilities. Recent research on …

The concept of tripartite synapses has revolutionized the world of neuroscience and the way
we understand how information is transmitted in the brain. Since its discovery, some …

Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted
adaptive grid algorithm Page 1 Integrated Computer-Aided Engineering 23 (2016) 313–329 313 …

The idea that astrocytes may be active partners in synaptic information processing has
recently emerged from abundant experimental reports. Because of their spatial proximity to …

While neurons have traditionally been considered the primary players in information
processing, the role of astrocytes in this mechanism has largely been overlooked due to …

Neural networks, composed of many neurons and governed by complex interactions
between them, are a widely accepted formalism for modeling and exploring global dynamics …

Printed circuit boards (PCBs) have dominated the electronics market, being part of nearly
any commercial electronic device. However, the requirement for smaller and more efficient …