J. Wawrzyniak

发表

Application of Artificial Neural Networks to Assess the Mycological State of Bulk Stored Rapeseeds

J. Wawrzyniak, 2020 .

Application of electronic nose with MOS sensors to prediction of rapeseed quality

Dariusz Wiącek, Robert Rusinek, Jolanta Wawrzyniak, 2017 .

Model of Fungal Development in Stored Barley Ecosystems as a Prognostic Auxiliary Tool for Postharvest Preservation Systems

J. Wawrzyniak, 2021, Food and Bioprocess Technology.

Kinetics of mould growth in the stored barley ecosystem contaminated with Aspergillus westerdijkiae, Penicillium viridicatum and Fusarium poae at 23-30 °C.

A. Ryniecki, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2013, Journal of the science of food and agriculture.

Changes in Tocochromanol Content in Seeds of Brassica napus L. During Adverse Conditions of Storage

A. Siger, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2011 .

Effect of Packaging and Portioning on the Dynamics of Water–Fat Serum Release from Fresh Pasta Filata Soft Cheese

J. Wawrzyniak, D. Cais-Sokolińska, Jakub Biegalski, 2022, Foods.

Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

K. Samborska, K. Przybył, K. Koszela, 2022, International Conference on Digital Image Processing.

Relationship of ergosterol content and fungal contamination and assessment of technological quality of malting barley preserved in a metal silo using the near-ambient method

J. Perkowski, A. Ryniecki, J. Wawrzyniak, 2008 .

Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression

M. Rudzińska, K. Przybył, J. Wawrzyniak, 2022, Molecules.

The Effect of Temperature and Moisture Content of Stored Rapeseed on the Phytosterol Degradation Rate

A. Siger, M. Rudzińska, J. Wawrzyniak, 2012, Journal of the American Oil Chemists' Society.

Ochratoxin A and citrinin production by Penicillium verrucosum on cereal solid substrates

J. Wawrzyniak, A. Waśkiewicz, 2014, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

Evaluation of critical points of mould growth and mycotoxin production in the stored barley ecosystem with a hazardous initial microbiological state of grain

A. Ryniecki, J. Wawrzyniak, A. Waśkiewicz, 2018, Journal of Stored Products Research.

Prediction of fungal infestation in stored barley ecosystems using artificial neural networks

Jolanta Wawrzyniak, J. Wawrzyniak, 2021 .

A Predictive Model for Assessment of the Risk of Mold Growth in Rapeseeds Stored in a bulk as a Decision Support Tool for Postharvest Management Systems

Jolanta Wawrzyniak, J. Wawrzyniak, 2020 .

Dynamics of phytosterol degradation in a bulk of rapeseed stored under different temperature and humidity conditions

M. Rudzińska, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2019, Journal of Stored Products Research.

Changes in contents of phenolic compounds (sinapic acid derivatives) in seeds of Brassica napus L.under adverse storage conditions.

A. Siger, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2018, Acta scientiarum polonorum. Technologia alimentaria.

Management Control Points Related to the Lag Phase of Fungal Growth in a Stored Rapeseed Ecosystem

A. Ryniecki, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2018, Journal of the American Oil Chemists' Society.

Correlation for the automatic identification of drying endpoint in near-ambient dryers : Application to malting barley

A. Ryniecki, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2007 .

Application of voltammetry to determine vitamin C in apple juices

A. Ryniecki, J. Wawrzyniak, W. Zembrzuski, 2005 .

Optimization and Modeling of Citrobacter freundii AD119 Growth and 1,3-Propanediol Production Using Two-Step Statistical Experimental Design and Artificial Neural Networks

W. Białas, K. Czaczyk, A. Drożdżyńska, 2023, Sensors.

Machine and Deep Learning in the Evaluation of Selected Qualitative Characteristics of Sweet Potatoes Obtained under Different Convective Drying Conditions

K. Przybył, J. Wawrzyniak, Marzena Gawrysiak-Witulska, 2022, Applied Sciences.

Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed

Krzysztof Koszela, Jolanta Wawrzyniak, Marzena Gawrysiak-Witulska, 2020, Sensors.

Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder

Krzysztof Koszela, Krzysztof Przybyl, Lukasz Gierz, 2018, Comput. Electron. Agric..

Drying control design – case study on the near-ambient drying of rapeseed

J. Gawałek, A. Ryniecki, J. Wawrzyniak, 2017 .

Potential sources of conflict in intensive care units - a questionnaire study.

M. Wujtewicz, M. Wujtewicz, R. Owczuk, 2019, Anaesthesiology Intensive Therapy.

Electronic nose with polymer-composite sensors for monitoring fungal deterioration of stored rapeseed

Dariusz Wiącek, Robert Rusinek, Jolanta Wawrzyniak, 2017 .

Design of the control system for canned-food sterilization

A. Ryniecki, J. Wawrzyniak, B. Danyluk, 2015 .

Predictive Assessment of Mycological State of Bulk-Stored Barley Using B-Splines in Conjunction with Genetic Algorithms

J. Wawrzyniak, 2023, Applied Sciences.

A Review of Methods and Applications for a Heart Rate Variability Analysis

Bikash K. Pradhan, S. S. Ray, S. Nayak, 2023, Algorithms.

The Impact of Process Parameters on 1,3-Propanediol Production and 3-Hydroxypropionaldehyde Accumulation in Fed-Batch Fermentation of Glycerol with Citrobacter freundii AD119

K. Czaczyk, A. Drożdżyńska, J. Wawrzyniak, 2023, Applied Sciences.

Impact of Dried Garlic on the Kinetics of Bacterial Growth in Connection with Thiosulfinate and Total Phenolic Content

A. Drożdżyńska, J. Wawrzyniak, 2024, Applied Sciences.