Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Milan Gnjatović"'
Publikováno v:
Axioms, Vol 12, Iss 6, p 509 (2023)
This paper introduces a parameter-free clustering-based approach to detecting critical traffic road segments in urban areas, i.e., road segments of spatially prolonged and high traffic accident risk. In addition, it proposes a novel domain-specific c
Externí odkaz:
https://doaj.org/article/d5965a84606044439ac61e7bb96db0e9
Autor:
Milan Gnjatović, Nemanja Maček, Muzafer Saračević, Saša Adamović, Dušan Joksimović, Darjan Karabašević
Publikováno v:
Axioms, Vol 12, Iss 1, p 3 (2022)
This paper introduces a heuristic for multiple sequence alignment aimed at improving real-time object recognition in short video streams with uncertainties. It builds upon the idea of the progressive alignment but is cognitively economical to the ext
Externí odkaz:
https://doaj.org/article/88e7c7c678d045cfb84f1ecb3137ed08
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4543 (2022)
This paper introduces and illustrates an approach to automatically detecting and selecting “critical” road segments, intended for application in circumstances of limited human or technical resources for traffic monitoring and management. The repo
Externí odkaz:
https://doaj.org/article/c87453dd1845478e81917924822e5b62
Autor:
Srđan Barzut, Milan Milosavljević, Saša Adamović, Muzafer Saračević, Nemanja Maček, Milan Gnjatović
Publikováno v:
Mathematics, Vol 9, Iss 7, p 730 (2021)
Modern access controls employ biometrics as a means of authentication to a great extent. For example, biometrics is used as an authentication mechanism implemented on commercial devices such as smartphones and laptops. This paper presents a fingerpri
Externí odkaz:
https://doaj.org/article/4cd1e63bbca04ac8b693e54900e23d1e
Autor:
Qasem Abu Al-Haija, K. Adalarasu, Saša Adamović, Nuredin Ahmed, Mohammad Alnabhan, Mohammad Al-Omari, Satish Anamalamudi, T. Arunkumar, A.K.M. Bahalul Haque, Jimmy Adebesin Benson, Bharat Bhushan, Raj Chaganti, Linda Chibuzor, Murali Krishna Enduri, Milan Gnjatović, Sai Sri Vineeth Gudapati, Koduru Hajarathaiah, M. Jagannath, Saumya Kakandwar, Saptadeepa Kalita, Jasmin Kevric, Avinash Kumar, H.M. Lavanya, Nemanja Maček, Joshua Ojo Nehinbe, Ahmed J. Obaid, Nikola Pavlović, Dalibor Radovanović, Nick Rahimi, Rehab A. Rayan, Eyad Saleh, Abdur Rashid Sangi, Marko Šarac, Muzafer Saračević, Hala Shaari, Deepak Sharma, Sudhir Kumar Sharma, Sonal Shristi, Ben Othman Soufiene, Christos Tsagkaris, S. Varsha, Nikola Vukobrat, Imran Zafar
Publikováno v:
Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems ISBN: 9780323991995
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e05755e199f66e353804986ae78af7a
https://doi.org/10.1016/b978-0-323-99199-5.09993-6
https://doi.org/10.1016/b978-0-323-99199-5.09993-6
Publikováno v:
Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems ISBN: 9780323991995
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a5c0a0d0ab6066954bf5c70ce75f41c
https://doi.org/10.1016/b978-0-323-99199-5.00004-5
https://doi.org/10.1016/b978-0-323-99199-5.00004-5
Autor:
Dragiša Mišković, Milan Gnjatović, Perica Štrbac, Branimir Trenkić, Nikša Jakovljević, Vlado Delić
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
Although the importance of contextual information in speech recognition has been acknowledged for a long time now, it has remained clearly underutilized even in state-of-the-art speech recognition systems. This article introduces a novel, methodologi
Externí odkaz:
https://doaj.org/article/8fe3a71fb9584e34bc03500085447bd5
Autor:
Saša Adamović, Muzafer Saračević, Milan Milosavljević, Nemanja Macek, Marko Šarac, Vladislav Miškovic, Milan Gnjatović
Publikováno v:
Future Generation Computer Systems. 107:144-157
This paper presents a novel iris recognition system based on machine learning methods. The motivation behind this research resides in the interrelatedness of biometric systems and stylometry, as shown in our previous research. The main goal of the pr
Publikováno v:
Acta Polytechnica Hungarica. 17:191-210
Publikováno v:
Intelligent Service Robotics. 13:99-111
This paper introduces an approach to automatic domain modeling for human–robot interaction. The proposed approach is symbolic and intended for semantically unconstrained task-oriented human–robot interaction domains. At the specification level, i