Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tin Kramberger"'
Publikováno v:
AI, Vol 5, Iss 3, Pp 1575-1593 (2024)
The rapid development of generative adversarial networks has significantly advanced the generation of synthetic images, presenting valuable opportunities and ethical dilemmas in their potential misuse across various industries. The necessity to disti
Externí odkaz:
https://doaj.org/article/fe0df44d72c54ffa92bb868dff3fbadf
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 4955 (2021)
This paper presents a solution for upgrading a previous device model to an Industry 4.0 smart device, with the goal of maintaining high compatibility. A novel IoT architecture is presented that satisfies the characteristics of a smart device. We anal
Externí odkaz:
https://doaj.org/article/ff2ebb41ffbb4938a1896a1012182123
Publikováno v:
Sensors, Vol 21, Iss 8, p 2575 (2021)
Multidisciplinary approaches in science are still rare, especially in completely different fields such as agronomy science and computer science. We aim to create a state-of-the-art floating ebb and flow system greenhouse that can be used in future sc
Externí odkaz:
https://doaj.org/article/1b943f05866746918702f026703a0902
Autor:
Tin Kramberger, Božidar Potočnik
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4913 (2020)
Currently there is no publicly available adequate dataset that could be used for training Generative Adversarial Networks (GANs) on car images. All available car datasets differ in noise, pose, and zoom levels. Thus, the objective of this work was to
Externí odkaz:
https://doaj.org/article/7b28c3c18fb3409fb689771163d1a671
Publikováno v:
MIPRO
Face recognition technology is having a tremendous impact on the vast majority of today's human activities - mostly for leisure and security purposes. In this paper, we evaluate Microsoft Face API technology in the context of estimating classroom stu
Autor:
Božidar Potočnik, Tin Kramberger
Publikováno v:
Applied Sciences, Vol 10, Iss 4913, p 4913 (2020)
Applied Sciences
Volume 10
Issue 14
Applied Sciences
Volume 10
Issue 14
Currently there is no publicly available adequate dataset that could be used for training Generative Adversarial Networks (GANs) on car images. All available car datasets differ in noise, pose, and zoom levels. Thus, the objective of this work was to
Publikováno v:
Polytechnic and design
Volume 8
Issue 1
Volume 8
Issue 1
Classification is one of the most common problems that neural networks are used for. In the case of higher resolution image classification, convolutional neural networks are commonly used. Due to the reason that convolutional neural networks are so o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::48debfa516d444717ff9ac481438de8b
https://doi.org/10.19279/tvz.pd.2020-8-1-18
https://doi.org/10.19279/tvz.pd.2020-8-1-18
Publikováno v:
Polytechnic and design
Volume 8
Issue 1
Volume 8
Issue 1
The image preprocessing optimization is a challenging task with numerous applications including classification and object detection on which this paper is oriented the most. Enhancing the performance in terms of processing time for image preprocessin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ec254139f27a0f996f2034149dc6acb
https://www.bib.irb.hr/1072136
https://www.bib.irb.hr/1072136
Publikováno v:
Polytechnic and design
Volume 7
Issue 2
Volume 7
Issue 2
Svakim danom sve je više aktivnih naziva zona u imeničkom sustavu. Uslijed rasta i hijerarhijske organizacije interneta povećava se i broj organizacija koje su zadužene za registraciju zona. Disperzijom administrativnih zadaća otežava se kontro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7a2f7381366ef0c990b09e68e11fe0e4
https://www.bib.irb.hr/1008293
https://www.bib.irb.hr/1008293
Publikováno v:
Sensors
Volume 21
Issue 8
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2575, p 2575 (2021)
Volume 21
Issue 8
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2575, p 2575 (2021)
Multidisciplinary approaches in science are still rare, especially in completely different fields such as agronomy science and computer science. We aim to create a state-of-the-art floating ebb and flow system greenhouse that can be used in future sc