The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …

Because of high detection accuracy, deep learning algorithms have recently become the
focus of increased attention for fault detection diagnostic (FDD) analysis of heat, ventilation …

Micromixers are critical components within microfluidic fluid handling and analysis systems.
When it comes to micromixing of biological samples, the hydrodynamical forces acting on …

Thermo-mechanical Pulping (TMP) is one of the most energy-intensive industries where
most of the electrical energy is consumed in the refining process. This paper proposes the …

The advancement in microfluidics has provided an excellent opportunity for shifting from
conventional sub-micron-sized isolation and purification methods to more robust and cost …

A large part of the refining heat production in the thermomechanical pulp mill can be
recovered to supply the paper machine heat demand. This study introduces a novel …

Data from two thermo-mechanical pulp mills are collected to simulate the refining process
using deep learning. A multilayer perceptron neural network is utilized for pattern …

A refining model is developed to analyses the refining process's energy efficiency based on
the refining variables. A simulation model is obtained for longer-term refining energy …

In this paper, a real-time chemi-thermomechanical pulping (CTMP) process was
investigated, where opportunities were explored to increase energy consumption efficiency …

Due to extracellular vesicles role as intracellular messengers and potential as diagnostic
tools, exosome research has gained much attention over the last decade. EV (Extracellular …