Since its first appearance in the 1980s, additive manufacturing has become increasingly
popular. Complex parts can be produced with high quality, minimal waste, and a variety of …

Abstract The Poly (N-isopropylacrylamide)(PNIPAm) hydrogel has gained significant interest
in the realms of tissue engineering and regenerative medicine due to its biocompatible …

The purpose of current research is to establish a theoretical size-dependent framework for
estimating the amount of thermoelastic damping (TED) in miniaturized rings with circular …

For the past decade, porous concrete has been applied to surface pavements and sidewalks
to control urban runoff. The effects of including mineral adsorbents and nanoparticles in …

The edge processing of deep neural networks (DNNs) is becoming increasingly important
due to its ability to extract valuable information directly at the data source to minimize latency …

Resistance spot welding poses potential challenges for automotive manufacturing
enterprises with regard to ensuring the real-time and accurate quality detection of each …

This study tackles the problem of increasing efficiency and scalability in deep neural network
(DNN) systems by employing collaborative inference, an approach that is gaining popularity …

Edge computing is a promising solution for handling high-dimensional, multispectral analog
data from sensors and IoT devices for applications such as autonomous drones. However …

Purpose The scale-dependent forced and free vibrational behaviors of a nanobeam located
on variable elastic foundations subjected to a transverse moving load and an axial tensile …

Thermal cladding is an effective method for protecting components from wear, corrosion,
and other forms of damage while providing additional insulation to reduce heat transfer. The …