Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …

Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for
recognizing multivariate responses obtained by gas sensors in various applications. Over …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Neuromorphic computing offers the opportunity to curtail the huge energy demands of
modern artificial intelligence (AI) applications by implementing computations into new, brain …

Frequency-modulated continuous wave radar sensors play an essential role for assisted
and autonomous driving as they are robust under all weather and light conditions. However …

In several application domains, electronic nose systems employing conventional data
processing approaches incur substantial power and computational costs and limitations …

Brain research has in recent years indisputably entered a new epoch, driven by substantial
methodological advances and digitally enabled data integration and modeling at multiple …

Introduction Recent studies have reported that ferroptosis is an iron-dependent cell death
process and is a potential therapeutic target in various tumours. The purpose of this study …

We have developed a spiking neural network (SNN) algorithm for signal restoration and
identification based on principles extracted from the mammalian olfactory system and …

Objective The aim of this study was to construct a model used for the accurate diagnosis of
Atopic dermatitis (AD) using pyroptosis related biological markers (PRBMs) through the …