Mission4.0

Generative Adversarial Networks for one-dimensional data

August 30, 2022

Successful employment of data-driven solutions, particularly based on deep learning approaches usually requires a big amount of data. However, due to various limitations in the acquisition of data from the real process, its availability is

Reinforcement learning

August 25, 2022

The two most well-known and widespread machine learning paradigms are unsupervised and supervised learning. However, in the last three decades, another paradigm of machine learning called reinforcement learning has attracted significant attention in the research

Deep learning for cyber-attack detection in industrial control systems

April 18, 2022

Industrial Control System (ICS) represents a common term that relates to different types of control systems which usually include the devices, systems, and networks used to operate and/or automate industrial processes. Today, ICSs are fully

Object detection for mobile robots in manufacturing environment

April 8, 2022

Manufacturing environments are inherently unstructured and unexpected changes can significantly reduce efficiency and increase overall manufacturing time. Thereupon, the ability of manufacturing entities, such as mobile robots, to adapt to these changes and stochastic processes

Classification of Wheeled Mobile Robot Configurations

March 8, 2022

Throughout the years, mobile robotic systems have shown time and time again their irreplaceable role in modern society. Firstly, they were only utilized for research purposes and employed within manufacturing or storage environments. However, nowadays,

Convolutional Neural Networks for Efficient Semantic Segmentation

November 25, 2021

Semantic segmentation represents the process of labeling every pixel in the image with the pixel's class. Therefore, the image is no longer defined with RGB values but with the semantic map when the semantic segmentation