Biological systems often have a narrow temperature range of operation, which require highly
accurate spatially resolved temperature measurements, often near±0.1 K. However, many …

An original convolutional neural network, ie U-net approach, has been designed to retrieve
simultaneously local soot temperature and volume fraction fields from line-of-sight …

In general, weather forecasting is done with the use of enormously complicated physical
science models that use a variety of environmental circumstances over a long period of time …

In this work, we present a discrete spectral contribution based statistical narrow-band model
(DSC-SNB) to solve the radiative transfer of high-temperature combustion systems, which …

This paper presents a low-cost approach based on Artificial Neural Networks (ANNs) for
retrieving fields of soot temperature in laminar flames from broadband soot emission signals …

Borehole Heat Exchanger (BHE) can be installed in different infrastructures to store or
extract energy, such as pavement cooling in summer and de-icing in winter. Although there …

Soot radiation-based thermometry is a popular approach for flame temperature diagnostics.
However, it usually suffers from flame temperature information lost in the regions of soot …

Abstract (english) Combustion systems will continue to share a portion in energy sectors
along the cur-rent energy transition, and therefore the attention is still given to the further …

Efficient and accurate reconstruction of flame temperature and species concentration is very
useful for combustion monitoring. In this work, the integrated spectral band ratio (ISBR) …

Flame is a natural phenomenon and is a basic element of any combustion process. The
majority of flames consist of a gas; there is, however, a small amount of ionisation occurring …