In various service-oriented applications such as distributed autonomous
...
Hyperproperties extend trace properties to express properties of sets of...
Cybersickness is a common ailment associated with virtual reality (VR) u...
A plethora of recent research has proposed several automated methods bas...
The state-of-the-art predictive maintenance (PdM) techniques have shown ...
Approximate computing is known for enhancing deep neural network
acceler...
Spiking neural networks have made breakthroughs in computer vision by le...
Deep Neural Networks (DNNs) and Spiking Neural Networks (SNNs) are both ...
Cybersickness can be characterized by nausea, vertigo, headache, eye str...
Approximate computing is known for its effectiveness in improvising the
...
Social virtual reality learning environments (VRLEs) provide immersive
e...
Systolic array-based deep neural network (DNN) accelerators have recentl...
Multivariate time series (MTS) regression tasks are common in many real-...
In manufacturing, unexpected failures are considered a primary operation...
The advent of data-driven real-time applications requires the implementa...
Social Virtual Reality Learning Environment (VRLE) is a novel edge compu...
Industry 4.0 is the latest industrial revolution primarily merging autom...
Industry 4.0 is the latest industrial revolution primarily merging autom...
Social Virtual Reality based Learning Environments (VRLEs) such as vSoci...
Embedded systems use increasingly complex software and are evolving into...
Cyber-physical systems, like Smart Buildings and power plants, have to m...
SRAM-based FPGAs are popular in the aerospace industry for their field
p...
SRAM-based FPGAs are increasingly popular in the aerospace industry due ...