Logistic Regression for Machine Learning in Process Tomography. - Tomasz Rymarczyk; Edward Kozlowski; Grzegorz Klosowski; Konrad Niderla (Sensors, 2019)

Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography. - Grzegorz Klosowski; Tomasz Rymarczyk; Tomasz Cieplak; Konrad Niderla; Lukasz Skowron (Sensors, 2020)

Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research. - Barbara Szymona; Marcin Maciejewski; Robert Karpinski; Kamil Jonak; Elzbieta Radzikowska-Büchner; Konrad Niderla; Anna Prokopiak (Sensors, 2021)

Use of the two-stage neural system in industrial electrical tomography - hybrid approach. - Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla (UbiComp/ISWC Adjunct, 2022)

Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls. - Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla (SenSys, 2022)

Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks. - Monika Kulisz; Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla; Piotr Bednarczuk (SenSys, 2023)

Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model. - Grzegorz Klosowski; Tomasz Rymarczyk; Manuchehr Soleimani; Konrad Niderla (SenSys, 2024)

Poster: The Use of Machine Learning in Electrical Impedance Tomography - A Variable Frequency Approach. - Monika Kulisz; Tomasz Rymarczyk; Grzegorz Klosowski; Konrad Niderla; Michal Oleszek (SenSys, 2024)

Poster: Application of LSTM Network with Multi-frequency Measurement Sequences in Electrical Tomography for Moisture Detection in Buildings. - Grzegorz Klosowski; Tomasz Rymarczyk; Monika Kulisz; Michal Oleszek; Konrad Niderla (SenSys, 2025)

Poster: Application of differential architecture in neural networks to improve reconstruction quality in ultrasound tomography. - Monika Kulisz; Grzegorz Klosowski; Tomasz Rymarczyk; Konrad Niderla; Pawel Olszewski; Dariusz Wójcik (SenSys, 2025)