Roman Klus

According to our database, Roman Klus authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Robust NLoS Localization in 5G mmWave Networks: Data-Based Methods and Performance.

Roman Klus, Jukka Talvitie, Julia Equi, Gábor Fodor, Johan Torsner, Mikko Valkama

IEEE Trans. Veh. Technol., January, 2025

2024

C2R: A Novel ANN Architecture for Boosting Indoor Positioning With Scarce Data.

Roman Klus, Jukka Talvitie, Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Sven Casteleyn, Danijela Cabric, Mikko Valkama

IEEE Internet Things J., October, 2024

EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets.

Lucie Klus, Roman Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi

IEEE Trans. Mob. Comput., May, 2024

Enabling Dynamic Indoor Localization by Employing Intersection over Union as a Metric.

Lucie Klus, Roman Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Ivo Silva, Cristiano G. Pendão, Mikko Valkama

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Deep Hypernetwork-based Robust Localization in Millimeter-Wave Networks.

Roman Klus, Jukka Talvitie, Benjamin W. Domae, Danijela Cabric, Mikko Valkama

Proceedings of the 35th IEEE International Symposium on Personal, 2024

2023

Supplementary materials for "EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets".

Lucie Klus, Roman Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi

Dataset, May, 2023

Supplementary materials for "TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density".

Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Carlos Granell-Canut, Mikko Valkama, Jukka Talvitie, Sven Casteleyn, Joaquín Torres-Sospedra

Dataset, February, 2023

2022

Machine Learning Based NLOS Radio Positioning in Beamforming Networks.

Roman Klus, Jukka Talvitie, Julia Vinogradova, Johan Torsner, Mikko Valkama

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

2021

Transfer Learning for Convolutional Indoor Positioning Systems.

Roman Klus, Lucie Klus, Jukka Talvitie, Jaakko Pihlajasalo, Joaquín Torres-Sospedra, Mikko Valkama

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Neural Network Fingerprinting and GNSS Data Fusion for Improved Localization in 5G.

Roman Klus, Jukka Talvitie, Mikko Valkama

Proceedings of the 11th International Conference on Localization and GNSS, 2021

2020

Deep Learning-Based Cell-Level and Beam-Level Mobility Management System.

Roman Klus, Lucie Klus, Dmitrii Solomitckii, Jukka Talvitie, Mikko Valkama

Sensors, 2020

Deep Learning Based Localization and HO Optimization in 5G NR Networks.

Roman Klus, Lucie Klus, Dmitrii Solomitckii, Mikko Valkama, Jukka Talvitie

Proceedings of the 2020 International Conference on Localization and GNSS, 2020