In this contribution, computer-aided optimization is presented as the ultimate tool to improve
food processing. The state of the art is reviewed, especially focusing in recent developments …

Highlights•Challenges of mathematical modeling for food processing were presented.•
Requirement of a process and equipment design was discussed.•Machine learning coupled …

The food processing industry has matured over the years with an impressive record on
safety and a vibrant marketplace for new product development. Consumer demands for high …

Measurements are reported of the proton and deuteron spin structure functions g 1 p and g 1
d at beam energies of 29.1, 16.2, and 9.7 GeV, and g 2 p and g 2 d at a beam energy of 29.1 …

Model reduction methods are usually based on preliminary computations to build the shape
function of the reduced order model (ROM) before the computation of the reduced state …

Real life phenomena in engineering, natural, or medical sciences are often described by a
mathematical model with the goal to analyze numerically the behaviour of the system …

The proper orthogonal decomposition (POD) is shown to be an efficient model reduction
technique for simulating physical processes governed by partial differential equations. In this …

The purpose of the present study was to develop a model to describe the heat and mass
transfer during the drying of carrot cubes in a spout-fluidized-bed drier. The model took into …

Modelling is an important task in food engineering and numerous approaches are possible.
Based on the massy experience the paper discusses the challenge, interest and difficulties …

Thermal processing is still the most important method to ensure food safety, however, there
is a need for further improvements, from basic data to advanced optimization methods. Due …