29 citations · 109 across the 20 of their papers we have counts for
22 papers
Archive coverage constrains abstaining retrieval for transient stability screening more than conditional accuracy
Gregor Cerar, Denis Sodin, Matjaž Škrlec +3
Power-grid transient stability is assessed by simulating credible faults, but repeating simulations as operating conditions change is costly, motivating faster critical clearing ti…
SAOITHE: Sustainable Age-of-Information-Based Timely Status Updating for Hardware-constrained Edge networks
Shih-Kai Chou, Maice Costa, Mihael Mohorčič +1
In future large-scale deployments of 6G and beyond networks, collecting timely information, as measured by the Age of Information (AoI) metric, is becoming increasingly important.…
Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation
Ljupcho Milosheski, Fedja Močnik, Mihael Mohorčič +1
Next-generation wireless systems such as 6G operate at higher frequency bands, making signal propagation highly sensitive to environmental factors such as buildings and vege- tatio…
Towards a Sustainable Age of Information Metric: Carbon Footprint of Real-Time Status Updates
Shih-Kai Chou, Maice Costa, Mihael Mohorčič +1
The timeliness of collected information is essential for monitoring and control in data-driven intelligent infrastructures. It is typically quantified using the Age of Information…
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…
Data Model Design for Explainable Machine Learning-based Electricity Applications
Carolina Fortuna, Gregor Cerar, Blaz Bertalanic +2
The transition from traditional power grids to smart grids, significant increase in the use of renewable energy sources, and soaring electricity prices has triggered a digital tran…
Automated Modeling Method for Pathloss Model Discovery
Ahmad Anaqreh, Shih-Kai Chou, Blaž Bertalanič +3
Modeling propagation is the cornerstone for designing and optimizing next-generation wireless systems, with a particular emphasis on 5G and beyond era. Traditional modeling methods…
A Network Science Approach to Granular Time Series Segmentation
Ivana Kesić, Carolina Fortuna, Mihael Mohorčič +1
Time series segmentation assigns a label to each part of a sequence. We formulate dense univariate segmentation as node classification on a graph whose nodes are the original time…
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
Shih-Kai Chou, Jernej Hribar, Vid Hanžel +2
Artificial Intelligence (AI) is being incorporated in several optimization, scheduling, orchestration as well as in native communication network functions. This paradigm shift resu…
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…
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…
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…
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…
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…
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…
Airborne Base Stations for Emergency and Temporary Events
Alvaro Valcarce, Tinku Rasheed, Karina Gomez +7
This paper introduces a rapidly deployable wireless network based on Low Altitude Platforms and portable land units to support disaster-relief activities, and to extend capacity du…