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Sensors (Basel, Switzerland)|July 24, 2021
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas SensorsBeata Bąk, Jakub Wilk, Piotr Artiemjew, et al.Sensors (Basel, Switzerland)|July 26, 2020
Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas SensorsBeata Bąk, Jakub Wilk, Piotr Artiemjew, et al.Sensors (Basel, Switzerland)|December 23, 2023
The Identification of Bee Comb Cell Contents Using Semiconductor Gas SensorsBeata Bąk, Jakub Wilk, Piotr Artiemjew, et al.Sensors (Basel, Switzerland)|February 15, 2022
In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural NetworksBeata Bąk, Jarosław Szkoła, Jakub Wilk, et al.Sensors (Basel, Switzerland)|January 1, 2021
Classifying the Biological Status of Honeybee Workers Using Gas SensorsJakub T Wilk, Beata Bąk, Piotr Artiemjew, et al.Sensors (Basel, Switzerland)|December 28, 2019
Gas Sensor Array and Classifiers as a Means of Varroosis DetectionAndrzej Szczurek, Monika Maciejewska, Beata Bąk, et al.The Science of the Total Environment|March 21, 2020
Detecting varroosis using a gas sensor system as a way to face the environmental threatAndrzej Szczurek, Monika Maciejewska, Beata Bąk, et al.Sensors (Basel, Switzerland)|May 6, 2020
The Effectiveness of Varroa destructor Infestation Classification Using an E-Nose Depending on the Time of DayAndrzej Szczurek, Monika Maciejewska, Żaneta Zajiczek, et al.Sensors (Basel, Switzerland)|April 14, 2026
Preliminary Research on the Possibility of Automating the Identification of Pollen Grains in Melissopalynology Using AI, with Particular Emphasis on Computer Image Analysis MethodsKacper Litwińczyk, Michał Podralski, Paulina Skorynko, et al.Pageof 1