Computer aid in the study of biotransformation process is a new approach to comparatively comprehensive understanding of the course of mycelia life. On the basis of fractal and spatial gray level co - occurrence matrix models
is possible to describe the mycelial morphology quantitatively by taking advantage of Computer Image Texture Analysis Technique. Plotting the calculated fractal dimension and texture entropy features from the morphological images obtained at different phases of growth
gives a clear correlation
that is the dependency of the mycelial morphology on the cultivation conditions and stages.
Experimental study of heat transfer enhancement by pressure waves in cross flow tube bundles
A two-stage dual-channel deep learning model for chemical fault classification
Thermodynamic performance of tower-type solar-assisted supercritical compression CO2 energy storage system
Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance
The impact of novel flow channel structure with sudden-expansion ratio on seawater-activated battery