Károly Széll

According to our database, Károly Széll authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Assessment of the Utilization of Quadruped Robots in Pharmaceutical Research and Development Laboratories.

Brian Parkinson, Adam Wolf, Péter Galambos, Károly Széll

CoRR, 2023

2022

Towards Robotic Laboratory Automation Plug & Play: Teaching-free Robot Integration with the LAPP Digital Twin.

Adam Wolf, Stefan Romeder-Finger, Károly Széll, Péter Galambos

CoRR, 2022

2021

Towards Robotic Laboratory Automation Plug & Play: The "LAPP" Framework.

Adam Wolf, David Wolton, Josef Trapl, Julien Janda, Stefan Romeder-Finger, Thomas Gatternig, Jean-Baptiste Farcet, Péter Galambos, Károly Széll

CoRR, 2021

2020

Hybrid Machine Learning Models for Crop Yield Prediction.

Saeed Nosratabadi, Imre Felde, Károly Széll, Sina Ardabili, Bertalan Beszedes, Amir Mosavi

CoRR, 2020

Detecting Gripping Failure in a Liquid Handling Robot with a Break Beam Sensor.

Adam Wolf, Majneri Paul, Péter Galambos, Károly Széll

Proceedings of the 18th IEEE International Symposium on Intelligent Systems and Informatics, 2020

Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction.

Saeed Nosratabadi, Károly Széll, Bertalan Beszedes, Imre Felde, Sina Ardabili, Amir Mosavi

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System.

Sina Ardabili, Bertalan Beszedes, László Nádai, Károly Széll, Amir Mosavi, Imre Felde

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

2019

The Effects of Simultaneous Noise and Missing Information in Fixed Point Iteration-based Adaptive Control.

Hemza Redjimi, Péter Galambos, József K. Tar, Károly Széll

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models.

Artúr István Károly, Renáta Nagyné Elek, Tamás Haidegger, Károly Széll, Péter Galambos

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019