Michał Pająk

Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization

Davor Kolar, Dragutin Lisjak, Michał Pająk et al. · Sensors · 2021 · 80 citations · Full text

Artificial Intelligence, Fault Diagnosis, Convolutional Neural Network +19

Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input

Davor Kolar, Dragutin Lisjak, Michał Pająk et al. · Sensors · 2020 · 65 citations · Full text

Fault Diagnosis, Convolutional Neural Network, Engineering +27

Object-based saccadic selection during scene perception: Evidence from viewing position effects

Michał Pająk, Antje Nuthmann · Journal of Vision · 2013 · 56 citations · Full text

Fuzzy Identification of The Reliability State of The Mine Detecting Ship Propulsion System

Michał Pająk, Łukasz Muślewski, Bogdan Landowski et al. · Polish Maritime Research · 2019 · 30 citations · Full text

Fault Diagnosis, Engineering, Fuzzy Modeling +26

Method of Building a Model of Operational Changes for the Marine Combustion Engine Describing the Impact of the Damages of This Engine on the Characteristics of Its Operation Process

Bogdan Landowski, Michał Pająk, B. Żółtowski et al. · Polish Maritime Research · 2017 · 21 citations · Full text

Engineering, Combustion Engineering, Simulation +24