Search Results - "Klus, Lucie"

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges by Ometov, Aleksandr, Shubina, Viktoriia, Klus, Lucie, Skibińska, Justyna, Saafi, Salwa, Pascacio, Pavel, Flueratoru, Laura, Gaibor, Darwin Quezada, Chukhno, Nadezhda, Chukhno, Olga, Ali, Asad, Channa, Asma, Svertoka, Ekaterina, Qaim, Waleed Bin, Casanova-Marqués, Raúl, Holcer, Sylvia, Torres-Sospedra, Joaquín, Casteleyn, Sven, Ruggeri, Giuseppe, Araniti, Giuseppe, Burget, Radim, Hosek, Jiri, Lohan, Elena Simona

“…Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected “things” and their entrenchment in our…”
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Deep Learning-Based Cell-Level and Beam-Level Mobility Management System by Klus, Roman, Klus, Lucie, Solomitckii, Dmitrii, Talvitie, Jukka, Valkama, Mikko

“…The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum…”
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TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density by Klus, Lucie, Klus, Roman, Lohan, Elena Simona, Nurmi, Jari, Granell, Carlos, Valkama, Mikko, Talvitie, Jukka, Casteleyn, Sven, Torres-Sospedra, Joaquín

“…Positioning in indoor scenarios using signals of opportunity is an effective solution enabling accurate and reliable performance in Global Navigation Satellite…”
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Transfer Learning for Convolutional Indoor Positioning Systems by Klus, Roman, Klus, Lucie, Talvitie, Jukka, Pihlajasalo, Jaakko, Torres-Sospedra, Joaquin, Valkama, Mikko

“…Fingerprinting is a widely used technique in indoor positioning, mainly due to its simplicity. Usually, this technique is used with the deterministic k -…”
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Direct Lightweight Temporal Compression for Wearable Sensor Data by Klus, Lucie, Klus, Roman, Lohan, Elena Simona, Granell, Carlos, Talvitie, Jukka, Valkama, Mikko, Nurmi, Jari

“…Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in…”
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Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive by Quezada-Gaibor, Darwin, Klus, Lucie, Klus, Roman, Lohan, Elena Simona, Nurmi, Jari, Valkama, Mikko, Huerta, Joaquin, Torres-Sospedra, Joaquin

“…Indoor positioning based on machinelearning models has attracted widespread interest in the last few years, given its high performance and usability…”
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Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets by Quezada-Gaibor, Darwin, Klus, Lucie, Torres-Sospedra, Joaquin, Lohan, Elena Simona, Nurmi, Jari, Granell, Carlos, Huerta, Joaquin

“…Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of…”
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Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets by Torres-Sospedra, Joaquin, Silva, Ivo, Klus, Lucie, Quezada-Gaibor, Darwin, Crivello, Antonino, Barsocchi, Paolo, Pendao, Cristiano, Lohan, Elena Simona, Nurmi, Jari, Moreira, Adriano

“…The evaluation of Indoor Positioning Systems (IPSs) mostly relies on local deployments in the researchers' or partners' facilities. The complexity of preparing…”
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Deep Learning Based Localization and HO Optimization in 5G NR Networks by Klus, Roman, Klus, Lucie, Solomitckii, Dmitrii, Valkama, Mikko, Talvitie, Jukka

“…In the emerging 5G radio networks, beamforming-capable nodes are able to densely cover narrow areas with a high-quality signal. Such systems require high-level…”
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RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering by Klus, Lucie, Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Lohan, Elena Simona, Granell, Carlos, Nurmi, Jari

“…Modern IoT devices, that include smartphones and wearables, usually have limited resources. They require efficient methods to optimize the use of internal…”
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Towards Accelerated Localization Performance Across Indoor Positioning Datasets by Klus, Lucie, Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquin, Lohan, Elena Simona, Granell, Carlos, Nurmi, Jari

“…The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning…”
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Towards Accelerated Localization Performance Across Indoor Positioning Datasets by Klus, Lucie, Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquın, Lohan, Elena Simona, Granell, Carlos, Nurmi, Jari

“…The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning…”
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Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets by Quezada-Gaibor, Darwin, Klus, Lucie, Torres-Sospedra, Joaquín, Lohan, Elena Simona, Nurmi, Jari, Granell, Carlos, Huerta, Joaquín

“…Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of…”
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Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices by Quezada-Gaibor, Darwin, Klus, Lucie, Torres-Sospedra, Joaquiin, Lohan, Elena Simona, Nurmi, Jari, Huerta, Joaquin

“…IoT devices and wearables may rely on Wi-Fi finger-printing to estimate the position indoors. The limited resources of these devices make it necessary to…”
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Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets by Torres-Sospedra, Joaquín, Silva, Ivo, Klus, Lucie, Quezada-Gaibor, Darwin, Crivello, Antonino, Barsocchi, Paolo, Pendão, Cristiano, Lohan, Elena Simona, Nurmi, Jari, Moreira, Adriano

“…The evaluation of Indoor Positioning Systems (IPS) mostly relies on local deployments in the researchers' or partners' facilities. The complexity of preparing…”
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EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets by Klus, Lucie, Klus, Roman, Torres-Sospedra, Joaquin, Lohanll, Elena Simona, Granell, Carlos, Nurmi, Jari

“…Indoor positioning performed directly at the end-user device ensures reliability in case the network connection fails but is limited by the size of the RSS…”
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