3 citations · 12 across the 5 of their papers we have counts for
5 papers
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
Maciej Krzywda, Szymon Łukasik, Amir Gandomi H
The present study covers an approach to neural architecture search (NAS) using Cartesian genetic programming (CGP) for the design and optimization of Convolutional Neural Networks…
Task scheduling for autonomous vehicles in the Martian environment
Wojciech Burzyński, Mariusz Kaleta
In the paper, we introduced a novel variant of Electric VRP/TSP, the Solar Powered Rover Routing Problem (SPRRP), to tackle the routing of energy-constrained autonomous electric ve…
Mitigating Dimensionality in 2D Rectangle Packing Problem under Reinforcement Learning Schema
Waldemar Kołodziejczyk, Mariusz Kaleta
This paper explores the application of Reinforcement Learning (RL) to the two-dimensional rectangular packing problem. We propose a reduced representation of the state and action s…
Rico: extended TIAGo robot towards up-to-date social and assistive robot usage scenarios
Tomasz Winiarski, Wojciech Dudek, Daniel Giełdowski
Social and assistive robotics have vastly increased in popularity in recent years. Due to the wide range of usage, robots executing such tasks must be highly reliable and possess e…
A comparative analysis of deep learning models for lung segmentation on X-ray images
Weronika Hryniewska-Guzik, Jakub Bilski, Bartosz Chrostowski +2
Robust and highly accurate lung segmentation in X-rays is crucial in medical imaging. This study evaluates deep learning solutions for this task, ranking existing methods and analy…