Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder. - Krzysztof Przybyl; Jolanta Gawalek; Krzysztof Koszela; Jolanta Wawrzyniak; Lukasz Gierz (Comput. Electron. Agric., 2018)

Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed. - Krzysztof Przybyl; Jolanta Wawrzyniak; Krzysztof Koszela; Franciszek Adamski; Marzena Gawrysiak-Witulska (Sensors, 2020)

Methodology for Quantifying Volatile Compounds in a Liquid Mixture Using an Algorithm Combining B-Splines and Artificial Neural Networks to Process Responses of a Thermally Modulated Metal-Oxide Semiconductor Gas Sensor. - Jolanta Wawrzyniak (Sensors, 2022)

A Review of Methods and Applications for a Heart Rate Variability Analysis. - Suraj Kumar Nayak; Bikash K. Pradhan; Biswaranjan Mohanty; Jayaraman Sivaraman; Sirsendu Sekhar Ray; Jolanta Wawrzyniak; Maciej Jarzebski; Kunal Pal (Algorithms, 2023)

Optimization and Modeling of Citrobacter freundii AD119 Growth and 1,3-Propanediol Production Using Two-Step Statistical Experimental Design and Artificial Neural Networks. - Agnieszka Drozdzynska; Jolanta Wawrzyniak; Piotr Kubiak; Martyna Przybylak; Wojciech Bialas; Katarzyna Czaczyk (Sensors, 2023)

Advancements in Improving Selectivity of Metal Oxide Semiconductor Gas Sensors Opening New Perspectives for Their Application in Food Industry. - Jolanta Wawrzyniak (Sensors, 2023)