Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Tea Marasovic"'
Publikováno v:
2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM).
In recent years deep-learning methods have demon- strated impressive results in various domains of computer vision, including medical imaging. This paper examines the possibility of leveraging deep- learning concepts in designing a computer system th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb4c856ff43352969d3a6ea089e40310
https://doi.org/10.23919/softcom55329.2022.9911487
https://doi.org/10.23919/softcom55329.2022.9911487
Autor:
Tea Marasovic, Vladan Papić
Publikováno v:
International Journal of Remote Sensing. 40:9084-9102
The need for search and rescue is not one that will go away. Extending beyond the concerns of hikers, natural disasters have brought the necessity for search and rescue in the heart of civilization. The advent of new technologies, such as unmanned ae
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::930a0ca88c7d556287dafd0f89e8a44c
https://doi.org/10.1080/01431161.2019.1597312
https://doi.org/10.1080/01431161.2019.1597312
Autor:
Maya Dimitrova, Theodore Pachidis, Mirjana Bonković, Tea Marasovic, Josip Musić, Stanko Kružić, Eleni Vrochidou, Svetoslava Saeva, Snezhana Kostova, Milen Zamfirov, Vladan Papić, Vassilis G. Kaburlasos, George A. Papakostas
This paper presents the results of the survey that was conducted during 2018 in four countries: Bulgaria, Greece, Bosnia and Herzegovina and Croatia. The survey is a part of activities within the project “Increasing the well being of the population
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0851f81a91693ce40628a8bee2b39556
https://www.bib.irb.hr/1082657
https://www.bib.irb.hr/1082657
Autor:
Tea Marasovic, Vladan Papić
Publikováno v:
International Journal of E-Health and Medical Communications. 9:35-49
Computer-aided ECG classification is an important tool for timely diagnosis of abnormal heart conditions. This paper proposes a novel framework that combines the theory of compressive sensing with random forests to achieve reliable automatic cardiac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::853c40b8a8c229caac4de52b31ba3352
https://doi.org/10.4018/ijehmc.2018010103
https://doi.org/10.4018/ijehmc.2018010103
Autor:
Mirjana Bonković, Maya Dimitrova, Milen Zamfirov, Josip Musić, Theodore Pachidis, Stanko Kruzic, Svetoslava Saeva, Tea Marasovic, Snezhana Kostova, Eleni Vrochidou, George A. Papakostas, Vladan Papić, Vassilis G. Kaburlasos
Publikováno v:
SoftCOM
This paper presents preliminary results of the questionnaire (QR) that was conducted during April and May 2018 in three countries: Bulgaria, Greece, and Croatia. The QR is part of the activities within a project funded by Danube Strategic Project Fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::708ebf0cf80266b9a275cc92269fb950
https://doi.org/10.23919/softcom.2018.8555751
https://doi.org/10.23919/softcom.2018.8555751
Publikováno v:
Lancet (London, England). 391(10127)
Journal editors are responsible for the integrity of the published record and must correct it when necessary. They are getting better at this job, as evidenced by journal retraction policies and numbers of article retractions. Most retractions are du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::849c3d3c83a14df0effdbd9a7fe6f003
https://pubmed.ncbi.nlm.nih.gov/29619946
https://pubmed.ncbi.nlm.nih.gov/29619946
Publikováno v:
Journal on Multimodal User Interfaces. 9:211-221
This paper presents a novel gesture recognition system using a single three-axis accelerometer, that is to serve as an alternative or supplementary interaction modality for controlling mobile devices. Capturing, training and classification of the det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba896d9a28ac6029e2faab526bce67d
https://doi.org/10.1007/s12193-015-0194-3
https://doi.org/10.1007/s12193-015-0194-3
Publikováno v:
Journal of Chemistry, Vol 2017 (2017)
Accurate estimation of essential enzyme kinetic parameters, such asKmandVmax, is very important in modern biology. To this date, linearization of kinetic equations is still widely established practice for determining these parameters in chemical and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f1b7bafb746a6bd04ff4d0bd2a11558
https://doaj.org/article/536dc75a9cb24ea4a28e08780beae5dc
https://doaj.org/article/536dc75a9cb24ea4a28e08780beae5dc
Publikováno v:
Croatica Chemica Acta
Volume 90
Issue 2
Volume 90
Issue 2
The boron heterocyclic compound dipottasium trioxohydroxytetraflourotriborate, K2[B3O3F4OH] has been listed as a promising new therapeutic for the epidermal changes treatment. In order to elucidate its free radical scavenging activity, several approp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2d7917b843d7337c4854f6460c28f3
https://hrcak.srce.hr/file/271529
https://hrcak.srce.hr/file/271529
Autor:
Tea Marasovic, Vladan Papić
Publikováno v:
2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech).
The discrimination of ECG signals is of crucial importance in clinical diagnoses of cardiac diseases. Manual analysis of ECG signals is very complex and time consuming task due to their composite nature. This paper proposes a novel scheme for reliabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::232d678f9ed6e246f333763e679adcbc
https://doi.org/10.1109/splitech.2016.7555930
https://doi.org/10.1109/splitech.2016.7555930