The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

Efficiently implementing remote sensing image classification with high spatial resolution
imagery can provide significant value in land use and land cover (LULC) classification. The …

Smart mobile devices are being widely used to identify and track human behaviors in simple
and complex daily activities. The evolution of wearable sensing technologies pertaining to …

Wearable technology has advanced significantly and is now used in various entertainment
and business contexts. Authentication methods could be trustworthy, transparent, and non …

In the present study, an advanced type of artificial intelligence, a deep neural network, is
employed to learn the physic of conduction heat transfer in 2D geometries. A dataset …

Objective skill assessment-based personal performance feedback is a vital part of surgical
training. Either kinematic—acquired through surgical robotic systems, mounted sensors on …

The development of an automatic method of identifying microplastic particles within live cells
and organisms is crucial for high-throughput analysis of their biodistribution in toxicity …

By transferring both features and gradients between different layers, shortcut connections
explored by ResNets allow us to effectively train very deep neural networks up to hundreds …

Effective and rapid assessment of pork freshness is significant for monitoring pork quality.
However, a traditional sensory evaluation method is subjective and physicochemical …

Non-intrusive load monitoring systems that are based on deep learning methods produce
high-accuracy end use detection; however, they are mainly designed with the one vs. one …