Projects

The main objective of this project is to design and experimentally verify effective solutions for the joint allocation of computing and mobile communication resources to support the distributed processing of complex applications, including those based...

The goal of this project is to explore the ongoing impact of the Metaverse, the digital twin of autonomous transport, edge computing, and 6G networks on both the safety and energy efficiency of autonomous vehicles. In particular, we will consider the...

The project aims to propose a model for modeling and reconstruction of organs and other anatomical structures. Ultimately, the project aims to enhance the effectiveness and objectivity of cancer diagnosis and treatment through cutting-edge technology...

The main goal of the project is to propose a complete methodological approach for 2D/3D image fusion, based on 2D/3D registration. We assume two types of 2D data, fluoroscopy and USG data. The USG data represents a more challenging scenario due to their...

The main objective of this project is to develop new methods for processing medical images while using the class-imbalanced nature of these data. We also aim to propose a new segmentation method for anatomical structures in the abdominal area, such as...

The goal of the project is the design of the novel and efficient models of the spectrum sharing and trading mechanisms in the cognitive radio networks. The special emphasis is put on the exploiting of the agent-based models incorporating strong interdisciplinary...

The spectrum utilization efficiency is one of the most challenging issues related to the 5th generation mobile networks. The main goal of the project is to jointly optimize the functionality of the spectrum sensing and sharing parameters and investigate...

The goal of this project is to provide deep speech and handwriting analysis and investigate whether speech and handwriting can be used for diagnosis and monitoring of hepatic encephalopathy and whether there exists relationship between speech, handwriting...

The project goal is the design of the novel original methods for the energy efficient heterogeneous (HetNet) topologies to be considered in 5G+ wireless communication standard.

The basic goals within the project are the design of new heuristic algorithms based on the application of machine and deep learning to optimize the performance of the 5G network, verification of these algorithms in realistic models and studies as well...

Feature selection (FS) has become a significant part of the data processing pipeline.FS techniques reduce the original feature space without transformation so that the original features are preserved and cogent interpretation is possible.