activity
20182022
collaborators

7 papers

cs.SE2022

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…

cs.LG2022

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…

cs.LG2021

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…

eess.SP2021

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…

cs.NI2020

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…

cs.NI2020

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…