Application of Machine Learning Algorithms in Real-Time Monitoring of Conveyor Belt Damage von Bzinkowski, Damian, Rucki, Miroslaw, Chalko, Leszek, Kilikevicius, Arturas, Matijosius, Jonas, Cepova, Lenka, Ryba, Tomasz

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Investigation of deep learning models on identification of minimum signal length for precise classification of conveyor rubber belt loads von Žvirblis, Tadas, Petkevičius, Linas, Bzinkowski, Damian, Vaitkus, Dominykas, Vaitkus, Pranas, Rucki, Mirosław, Kilikevičius, Artūras

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Monitoring of Rubber Belt Material Performance and Damage von Ryba, Tomasz, Bzinkowski, Damian, Siemiątkowski, Zbigniew, Rucki, Miroslaw, Stawarz, Sylwester, Caban, Jacek, Samociuk, Waldemar

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Data Augmentation for Classification of Multi-Domain Tension Signals von Žvirblis, Tadas, Pikšrys, Armantas, Bzinkowski, Damian, Rucki, Mirosław, Kilikevičius, Artūras, Kurasova, Olga

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Measurement of The Cycloidal Drive Sleeves and Pins von Zareba, Renata, Mazur, Tomasz, Olejarczyk, Krzysztof, Bzinkowski, Damian

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DESIGN AND CALIBRATION OF THE SYSTEM SUPERVISING BELT TENSION AND WEAR IN AN INDUSTRIAL FEEDER von Ryba, Tomasz, Rucki, Miroslaw, Siemiatkowski, Zbigniew, Bzinkowski, Damian, Solecki, Michal

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