Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ingmar Bešić"'
Autor:
Ehlimana Krupalija, Emir Cogo, Damir Pozderac, Samir Omanović, Almir Karabegović, Razija Turčinhodžić Mulahasanović, Ingmar Bešić
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101625- (2024)
Researchers and domain experts usually require the help of software packages for black-box testing complex systems using cause–effect graphs. However, there are only a few available packages for this purpose with limited functionalities. The existi
Externí odkaz:
https://doaj.org/article/7b06a435d5014c7389d726cd29443bde
Publikováno v:
Journal of Communications Software and Systems, Vol 18, Iss 4, Pp 311-322 (2022)
Cause-effect graphing is a commonly used black-box technique with many applications in practice. It is important to be able to create accurate cause-effect graph specifications from system requirements before converting them to test case tables used
Externí odkaz:
https://doaj.org/article/d80e75987d004eecaa0366bafc2a57e7
Publikováno v:
Acta Electrotechnica et Informatica, Vol 21, Iss 1, Pp 3-10 (2021)
Visual impairments often pose serious restrictions on a visually impaired person and there is a considerable number of persons, especially among aging population, which depend on assistive technology to sustain their quality of life. Development and
Externí odkaz:
https://doaj.org/article/2edbcf86d54341289805f6571f5b5daa
Publikováno v:
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b18c8d1e1c4ddcd83912a1acf7aa65a
https://doi.org/10.1109/infoteh57020.2023.10094154
https://doi.org/10.1109/infoteh57020.2023.10094154
Publikováno v:
2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0383218d2638c037391d3b4d4575d916
https://doi.org/10.1109/snpd54884.2022.10051799
https://doi.org/10.1109/snpd54884.2022.10051799
Publikováno v:
IEEE Access, Vol 10, Pp 124545-124562 (2022)
Cause-effect graphs are a popular black-box testing technique. The most commonly used approach for generating test cases from cause-effect graph specifications uses backward-propagation of forced effect activations through the graph in order to get t
Externí odkaz:
https://doaj.org/article/e2279886449e47d08c407b5e364e9308
Publikováno v:
Problemy Zarządzania, Vol 2019, Iss 85, Pp 40-55 (2021)
Due to the need for further expansion of a gas pipeline network and more efficient maintenance of available spatial data on the gas pipeline infrastructure, the management of gas transportation system operator has decided to extend the existing infor
Externí odkaz:
https://doaj.org/article/a2286bac1fed406b8da5a6e1d76ae9e4
Autor:
Omar Bilalovic, Zikrija Avdagic, Samir Omanovic, Ingmar Besic, Vedad Letic, Christophe Tatout
Publikováno v:
Symmetry, Vol 12, Iss 3, p 416 (2020)
Mathematical modelling to compute ground truth from 3D images is an area of research that can strongly benefit from machine learning methods. Deep neural networks (DNNs) are state-of-the-art methods design for solving these kinds of difficulties. Con
Externí odkaz:
https://doaj.org/article/687e8e5afe91466984376c74217d81ac
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 1, p 47 (2020)
Hydropower dam displacement is influenced by various factors (dam ageing, reservoir water level, air, water, and concrete temperature), which cause complex nonlinear behaviour that is difficult to predict. Object deformation monitoring is a task of g
Externí odkaz:
https://doaj.org/article/c7fd982f42f34196933011d94ca67121