Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Mohorcic, Mihael"'
Artificial intelligence (AI)coupled with existing Internet of Things (IoT) enables more streamlined and autonomous operations across various economic sectors. Consequently, the paradigm of Artificial Intelligence of Things (AIoT) having AI techniques
Externí odkaz:
http://arxiv.org/abs/2408.00540
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 architectures. In wireless networks, many studies were conducted in auto
Externí odkaz:
http://arxiv.org/abs/2308.03530
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 business. Appliance-level data can be directly used for demand response ap
Externí odkaz:
http://arxiv.org/abs/2307.09244
The so-called black-box deep learning (DL) models are increasingly used in classification tasks across many scientific disciplines, including wireless communications domain. In this trend, supervised DL models appear as most commonly proposed solutio
Externí odkaz:
http://arxiv.org/abs/2305.10060
Autor:
Fortuna, Carolina, Mušić, Din, Cerar, Gregor, Čampa, Andrej, Kapsalis, Panagiotis, Mohorčič, Mihael
Artificial Intelligence (AI) technologies are moving from customized deployments in specific domains towards generic solutions horizontally permeating vertical domains and industries. For instance, decisions on when to perform maintenance of roads or
Externí odkaz:
http://arxiv.org/abs/2210.06956
Publikováno v:
Computer Communications, Volume 212, 1 December 2023, Pages 353-365
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 as anomaly detection, modulation classification, technology classific
Externí odkaz:
http://arxiv.org/abs/2210.02899
Autor:
Pirnat, Anže, Bertalanič, Blaž, Cerar, Gregor, Mohorčič, Mihael, Meža, Marko, Fortuna, Carolina
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular Deep Learning (DL) artificial intelligence methods perform very well i
Externí odkaz:
http://arxiv.org/abs/2201.09071
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 class of models, most suitable metrics and model performance on imbalance
Externí odkaz:
http://arxiv.org/abs/2102.11655
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 terminals, but it can also be applied for position estimation of a term
Externí odkaz:
http://arxiv.org/abs/2102.03130
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 homes, factories and hospitals. Along with the growth in the developm
Externí odkaz:
http://arxiv.org/abs/2009.09731