Lucie Klus

According to our database, Lucie Klus authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

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

Employing Signal Statistics for Universal Fingerprinting Solution.

Lucie Klus, Elena Simona Lohan, Mikko Valkama

Proceedings of the 100th IEEE Vehicular Technology Conference, 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

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

Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets.

Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Joaquín Huerta

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Towards Accelerated Localization Performance Across Indoor Positioning Datasets.

Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi

Proceedings of the 2022 International Conference on Localization and GNSS, 2022

2021

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges.

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibinska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada-Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa, Ekaterina Svertoka, Waleed Bin Qaim, Raul Casanova Marques, Sylvia Holcer, Joaquín Torres-Sospedra, Sven Casteleyn, Giuseppe Ruggeri, Giuseppe Araniti, Radim Burget, Jiri Hosek, Elena Simona Lohan

Comput. Networks, 2021

Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets.

Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano G. Pendão, Elena Simona Lohan, Jari Nurmi, Adriano J. C. Moreira

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

2020

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

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

Sensors, 2020

Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices.

Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Joaquín Huerta

Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2020

RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering.

Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi

Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2020

Lossy Compression Methods for Performance-Restricted Wearable Devices.

Lucie Klus, Elena Simona Lohan, Carlos Granell, Jari Nurmi

Proceedings of the International Conference on Localization and GNSS (ICL-GNSS 2020), Tampere, Finland, June 2nd to 4th, 2020, 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