Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ana Kuzmanic Skelin"'
Publikováno v:
IEEE Access, Vol 12, Pp 9860-9870 (2024)
The confusion matrix is the tool commonly used for the evaluation of the performance of a classification algorithm. While the computation of the confusion matrix for multi-class classification follows a well-developed procedure, the common approach f
Externí odkaz:
https://doaj.org/article/53dbb372f36f4a3696fcb9f099683ed0
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7817 (2020)
The main goal of any classification or regression task is to obtain a model that will generalize well on new, previously unseen data. Due to the recent rise of deep learning and many state-of-the-art results obtained with deep models, deep learning a
Externí odkaz:
https://doaj.org/article/f4c284268e664fb98e09e5bae074b8ba
Publikováno v:
Sensors, Vol 14, Iss 5, Pp 8235-8258 (2014)
Surface electromyography (sEMG) is an important measurement technique used in biomechanical, rehabilitation and sport environments. In this article the design, development and testing of a low-cost wearable sEMG system are described. The hardware arc
Externí odkaz:
https://doaj.org/article/840d3cf7224b4e0aa945dd18227d8ae7
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 15639-15640 (2014)
The authors wish to make the following correction to this paper [1]. Due to an error Figure 15 was a duplicate of Figure 13, the former Figure 15 (labelled here as Previous Figure 15) should be replaced by the new version shown below (labeled here as
Externí odkaz:
https://doaj.org/article/8a79e03c41694e35b17ee7d5ecbd2797
Augmented reality (AR) provides an interface for sensor data visualization thus allowing user to receive context aware information about the environment. In this paper we develop a prototype of a system that allows users to access important informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f052388436192a57924529b7bde43469
https://www.bib.irb.hr/1239409
https://www.bib.irb.hr/1239409
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1391 (2024)
The obligated implementation of the Electronic Chart Display and Information System (ECDIS) began ten years ago, and during this time, we could observe different types of familiarization with the system through its users. The incorrect use of the ECD
Externí odkaz:
https://doaj.org/article/8c33380fe296434ea51a1bed6576b4c1
Publikováno v:
Sensors, Vol 23, Iss 10, p 4582 (2023)
Thermal vision-based devices are nowadays used in a number of industries, ranging from the automotive industry, surveillance, navigation, fire detection, and rescue missions to precision agriculture. This work describes the development of a low-cost
Externí odkaz:
https://doaj.org/article/7eff5f3c999947698150a9a10953aec9
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10866 (2021)
An integrative approach to maritime accident risk factor assessment in accordance with formal safety assessment is proposed, which exploits the multifaceted capabilities of Bayesian networks (BNs) by consolidation of modelling, verification, and vali
Externí odkaz:
https://doaj.org/article/cfd2c5a9f33f411289cc577c2f9ba41a
Publikováno v:
Sensors, Vol 14, Iss 11, Pp 20112-20133 (2014)
Laser pointers are one of the most widely used interactive and pointing devices in different human-computer interaction systems. Existing approaches to vision-based laser spot tracking are designed for controlled indoor environments with the main ass
Externí odkaz:
https://doaj.org/article/ace25d2d3dd64acbbea3f94cb9ca7eeb
Publikováno v:
Scopus-Elsevier
Head pose estimation from 2D images is ill-posed problem since image intensity data is not view invariant, and does not provide 3D configuration of head. In this paper, we propose a method to estimate head pose in uncalibrated lowresolution images. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4e6e177cba4fef213bcfe21430b482fd
http://www.scopus.com/inward/record.url?eid=2-s2.0-84896820924&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84896820924&partnerID=MN8TOARS