92 citations · 258 across the 19 of their papers we have counts for
20 papers
Spectrum Sensing with Deep Clustering: Label-Free Radio Access Technology Recognition
Ljupcho Milosheski, Mihael Mohorčič, Carolina Fortuna
The growth of the number of connected devices and network densification is driving an increasing demand for radio network resources, particularly Radio Frequency (RF) spectrum. Giv…
Graph Neural Networks Based Anomalous RSSI Detection
Blaž Bertalanič, Matej Vnučec, Carolina Fortuna
In today's world, modern infrastructures are being equipped with information and communication technologies to create large IoT networks. It is essential to monitor these networks…
Deep Feature Learning for Wireless Spectrum Data
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
In recent years, the traditional feature engineering process for training machine learning models is being automated by the feature extraction layers integrated in deep learning ar…
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
Anže Pirnat, Blaž Bertalanič, Gregor Cerar +2
Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a busi…
XAI for Self-supervised Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
The so-called black-box deep learning (DL) models are increasingly used in classification tasks across many scientific disciplines, including wireless communications domain. In thi…
Resource-aware Deep Learning for Wireless Fingerprinting Localization
Gregor Cerar, Blaž Bertalanič, Carolina Fortuna
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular…
On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups
Carolina Fortuna, Din Mušić, Gregor Cerar +3
Artificial Intelligence (AI) technologies are moving from customized deployments in specific domains towards generic solutions horizontally permeating vertical domains and industri…
Self-supervised Learning for Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
In recent years, much work has been done on processing of wireless spectrum data involving machine learning techniques in domain-related problems for cognitive radio networks, such…
On Designing Data Models for Energy Feature Stores
Gregor Cerar, Blaž Bertalanič, Anže Pirnat +2
The digital transformation of the energy infrastructure enables new, data driven, applications often supported by machine learning models. However, domain specific data transformat…
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS
Blaž Bertalanič, Jakob Jenko, Carolina Fortuna
Energy management systems (EMS) rely on (non)-intrusive load monitoring (N)ILM to monitor and manage appliances and help residents be more energy efficient and thus more frugal. Th…
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
Anže Pirnat, Blaž Bertalanič, Gregor Cerar +3
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular…
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies
Blaž Bertalanič, Marko Meža, Carolina Fortuna
The number of end devices that use the last mile wireless connectivity is dramatically increasing with the rise of smart infrastructures and require reliable functioning to support…
Learning to Fairly Classify the Quality of Wireless Links
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Machine learning (ML) has been used to develop increasingly accurate link quality estimators for wireless networks. However, more in-depth questions regarding the most suitable cla…
Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network
Gregor Cerar, Aleš Švigelj, Mihael Mohorčič +2
Multiple-input multiple-output (MIMO) is an enabling technology to meet the growing demand for faster and more reliable communications in wireless networks with a large number of t…
Time-to-Provision Evaluation of IoT Devices Using Automated Zero-Touch Provisioning
Ivan Boškov, Halil Yetgin, Matevž Vučnik +2
The Internet of Things (IoT) is being widely adopted in today's society, interconnecting smart embedded devices that are being deployed for indoor and outdoor environments, such as…
Learning to Detect Anomalous Wireless Links in IoT Networks
Gregor Cerar, Halil Yetgin, Blaž Bertalanič +1
After decades of research, the Internet of Things (IoT) is finally permeating real-life and helps improve the efficiency of infrastructures and processes as well as our health. As…
On Designing a Machine Learning Based Wireless Link Quality Classifier
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Ensuring a reliable communication in wireless networks strictly depends on the effective estimation of the link quality, which is particularly challenging when propagation environm…
Machine Learning for Wireless Link Quality Estimation: A Survey
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Since the emergence of wireless communication networks, a plethora of research papers focus their attention on the quality aspects of wireless links. The analysis of the rich body…
Automatic Detection and Query of Wireless Spectrum Events from Streaming Data
Carolina Fortuna, Timotej Gale, Tomaz Solc +1
Several alternatives for more efficient spectrum management have been proposed over the last decade, resulting in new techniques for automatic wideband spectrum sensing. However, w…
COINS: ContinuOus IntegratioN in wirelesS technology development
Matevž Vučnik, Tomaž Šolc, Urban Gregorc +5
Network testing plays an important role in the iterative process of developing new communication protocols and algorithms. However, test environments have to keep up with the evolu…