Koszela, Krzysztof Józef

Name

Koszela, Krzysztof

Scientific title

dr hab.

ORCID

0000-0002-8244-2763

Faculty

Wydział Inżynierii Środowiska i Inżynierii Mechanicznej

Department

Katedra Inżynierii Biosystemów

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The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

Analiza proszku owocowego z wykorzystaniem spektroskopii w podczerwieni z transformacją Fouriera (FTIR ATR)

Innowacje w hodowli zarodowej kur nieśnych w Polsce

Application of artificial neural network for the quality-based classification of spray-dried rhubarb juice powders

Optimization of the Sowing Unit of a Piezoelectrical Sensor Chamber with the Use of Grain Motion Modeling by Means of the Discrete Element Method. Case Study: Rape Seed

Early detection of mastitis in cows using the system based on 3D motions detectors

Applications MLP and other methods in artificial intelligence of fruit and vegetable in convective and spray drying

The application of convolutional neural networks, LF-NMR, and texture for microparticle analysis in assessing the quality of fruit powders: Case study – blackcurrant powders

Fruit Powder Analysis Using Machine Learning Based on Color and FTIR-ATR Spectroscopy - Case Study: Blackcurrant Powders

Measurements and Analysis of the Physical Properties of Cereal Seeds Depending on Their Moisture Content to Improve the Accuracy of DEM Simulation

Determination of the constant pressure loss for a new segmented orifice with an inclined inflow plane

Predicting Fruit’s Sweetness Using Artificial Intelligence - Case Study: Orange

Measurements of the flow of a liquid–solid mixture/suspension through a segmented orifice

The Process of Pasting and Gelling Modified Potato Starch with LF-NMR

Analysis of the strength of an innovative design of an organic farming potato harvester

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Filters

Date

Author

Subject

Has files

Type

The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

Analiza proszku owocowego z wykorzystaniem spektroskopii w podczerwieni z transformacją Fouriera (FTIR ATR)

Innowacje w hodowli zarodowej kur nieśnych w Polsce

Application of artificial neural network for the quality-based classification of spray-dried rhubarb juice powders

Optimization of the Sowing Unit of a Piezoelectrical Sensor Chamber with the Use of Grain Motion Modeling by Means of the Discrete Element Method. Case Study: Rape Seed

Early detection of mastitis in cows using the system based on 3D motions detectors

Applications MLP and other methods in artificial intelligence of fruit and vegetable in convective and spray drying

The application of convolutional neural networks, LF-NMR, and texture for microparticle analysis in assessing the quality of fruit powders: Case study – blackcurrant powders

Fruit Powder Analysis Using Machine Learning Based on Color and FTIR-ATR Spectroscopy - Case Study: Blackcurrant Powders

Measurements and Analysis of the Physical Properties of Cereal Seeds Depending on Their Moisture Content to Improve the Accuracy of DEM Simulation

Determination of the constant pressure loss for a new segmented orifice with an inclined inflow plane

Predicting Fruit’s Sweetness Using Artificial Intelligence - Case Study: Orange

Measurements of the flow of a liquid–solid mixture/suspension through a segmented orifice

The Process of Pasting and Gelling Modified Potato Starch with LF-NMR

Analysis of the strength of an innovative design of an organic farming potato harvester