The direct reduction of iron oxide (DRI) using hydrogen is a promising method for clean
steelmaking. Previous studies used one-dimensional models to explore this non-catalytic …

Deep learning has recently been leveraged in the microfluidic research for intelligent image
processing. However, it usually requires massive human efforts to label sufficient images for …

The sub-millimeter bubble technique can enhance the gas–liquid inter-phase mass transfer
and show immense potential to increase production efficiency. The two-fluid model (TFM) …

The quantification of low-abundance biomarkers or trace harmful substances in complex
samples at femtomolar-level sensitivity requires labor-intensive incubation and multiwashing …

Multiphase flow and reaction system are commonly involved in process industries, including
petrochemical industry, coal chemical industry, coal combustion, etc.. The interphase …

Subcooled flow boiling is a pivotal process prevalent in a myriad of scientific investigations
and engineering applications, particularly in the realm of heat transfer system design and …

Accurate detection and analysis of bubble size and shape in bubbly flow are critical to
understanding mass and heat transfer processes. Convolutional neural networks have …

In the soybean market, it is a common phenomenon that low-quality soybeans replace high-
quality soybeans. At the same time, due to the influence of the natural growth environment …

Accurately determining microdroplet size and uniformity in dispersed phase systems is key
for assessing emulsion stability, and essential for quality monitoring and control of emulsion …

Image segmentation in bubble plumes is notoriously difficult, with individual bubbles having
ill-defined shapes overlapping each other in images. In this paper, we present a cheap and …