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ORCIDJolanta Wawrzyniak
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2020 – today
- 2023
[j6]Suraj Kumar Nayak, Bikash K. Pradhan, Biswaranjan Mohanty, Jayaraman Sivaraman, Sirsendu Sekhar Ray, Jolanta Wawrzyniak
, Maciej Jarzebski, Kunal Pal:
A Review of Methods and Applications for a Heart Rate Variability Analysis. Algorithms 16(9): 433 (2023)- [j5]Agnieszka Drozdzynska, Jolanta Wawrzyniak, Piotr Kubiak, Martyna Przybylak, Wojciech Bialas, Katarzyna Czaczyk:
Optimization and Modeling of Citrobacter freundii AD119 Growth and 1,3-Propanediol Production Using Two-Step Statistical Experimental Design and Artificial Neural Networks. Sensors 23(3): 1266 (2023) - [j4]Jolanta Wawrzyniak:
Advancements in Improving Selectivity of Metal Oxide Semiconductor Gas Sensors Opening New Perspectives for Their Application in Food Industry. Sensors 23(23): 9548 (2023) - 2022
- [j3]Jolanta Wawrzyniak:
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. Sensors 22(22): 8959 (2022) - 2020
- [j2]Krzysztof Przybyl, Jolanta Wawrzyniak, Krzysztof Koszela, Franciszek Adamski, Marzena Gawrysiak-Witulska:
Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed. Sensors 20(24): 7305 (2020)
2010 – 2019
- 2018
- [j1]Krzysztof Przybyl, Jolanta Gawalek, Krzysztof Koszela, Jolanta Wawrzyniak, Lukasz Gierz:
Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder. Comput. Electron. Agric. 155: 314-323 (2018)
Coauthor Index
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