Marcin Grochowina

According to our database, Marcin Grochowina authored at least 10 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Intelligent candidate recommendation system based on experimental calculation of the similarity model.

Ryszard Leniowski, Lucyna Leniowska, Michal Wronski, Krzysztof Tomecki, Marcin Grochowina, Lukasz Ryk

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Applying DCT Combined Cepstrum for the Assessment of the Arteriovenous Fistula Condition.

Marcin Grochowina, Lucyna Leniowska

Proceedings of the Computational Science - ICCS 2021, 2021

2019

An application of wavelet transform for non-invasive evaluation of arteriovenous fistula state.

Marcin Grochowina, Kamil Wojnar, Lucyna Leniowska

Proceedings of the Signal Processing: Algorithms, 2019

Detecting of the rolling bearing state based on acoustic signal and the k-NN classifier.

Dorota Gil, Marcin Grochowina, Lucyna Leniowska

Proceedings of the Signal Processing: Algorithms, 2019

2018

Microprocessor implementation of the sound source location process based on the correlation of signals.

Krzysztof Krupa, Marcin Grochowina

Proceedings of the Signal Processing: Algorithms, 2018

Design and implementation of a device supporting automatic diagnosis of arteriovenous fistula.

Marcin Grochowina, Lucyna Leniowska

Proceedings of the Signal Processing: Algorithms, 2018

2017

Analysys of the impact of disturbance on the arteriovenous fistula state classification.

Marcin Grochowina, Lucyna Leniowska

Proceedings of the Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

The new method of the selection of features for the k-NN classifier in the arteriovenous fistula state estimation.

Marcin Grochowina, Lucyna Leniowska

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem.

Marcin Grochowina, Lucyna Leniowska

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014

Application of Artificial Neural Networks for the Diagnosis of the Condition of the Arterio-venous Fistula on the Basis of Acoustic Signals.

Marcin Grochowina, Lucyna Leniowska, Piotr Dulkiewicz

Proceedings of the Brain Informatics and Health - International Conference, 2014