Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Ömer Nezih Gerek"'
Publikováno v:
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Vol 31, Iss 3, Pp 801-807 (2023)
Autonomous vehicles are becoming increasingly popular in a variety of applications, including waste collection and fire detection. In this work, we present the design and implementation of an autonomous vehicle for these tasks in urban environments.
Externí odkaz:
https://doaj.org/article/3a942dfc5a5341eb9aafbf04edf3aa14
Publikováno v:
IET Computer Vision, Vol 13, Iss 8, Pp 719-729 (2019)
Background modelling is a fundamental step for several real‐time computer vision applications that requires security systems and monitoring. An accurate background model helps to detect the activity of moving objects in the video. In this work, the
Externí odkaz:
https://doaj.org/article/2de72acba8f14e0dbd714f52f942cda9
Autor:
Ömer Emre Yetgin, Ömer Nezih Gerek
Publikováno v:
SoftwareX, Vol 8, Iss , Pp 43-47 (2018)
Detection and avoiding of power lines and cables is a critical issue in aircraft flight safety. Despite various improvements in image analysis literature, most of the safety issues depend on visual capabilities of pilots. It is aimed that proper scen
Externí odkaz:
https://doaj.org/article/72aaa18cfd3e4af19c7123fec4416c55
Publikováno v:
Energies, Vol 11, Iss 3, p 603 (2018)
In this study, a new solar photovoltaic (PV) panel output power model is proposed. The model is constructed as a function of ambient temperature and solar radiations for two types (fixed panel and sun tracking panel) of PV systems. The proposed model
Externí odkaz:
https://doaj.org/article/b5764e30b49e4b6fb2a9fd7b3ccedc90
Publikováno v:
Elektronika ir Elektrotechnika, Vol 25, Iss 6, Pp 62-69 (2019)
Despite being a challenging research field with many unresolved problems, recommender systems are getting more popular in recent years. These systems rely on the personal preferences of users on items given in the form of ratings and return the prefe
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 55:2241-2252
Avoidance of power lines is an important issue of flight safety. Assistance systems that automatically detect power lines can prevent accidents caused by pilot unawareness. In this study, we propose using convolutional neural networks (CNN) to recogn
Publikováno v:
Trends in Data Engineering Methods for Intelligent Systems ISBN: 9783030793562
Images that widely exist on e-commerce sites, social networks, and many other applications are one of the most important information resources integrated into the recently deployed image-based recommender systems. In the latest studies, researchers h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbeb38dced564b444a2cd92fbc0eab1c
https://doi.org/10.1007/978-3-030-79357-9_28
https://doi.org/10.1007/978-3-030-79357-9_28
Publikováno v:
ICEIS (1)
Autor:
Ömer Emre Yetgin, Ömer Nezih Gerek
Publikováno v:
Digital Signal Processing. 77:102-119
WOS: 000432635500011
This paper presents results of power line scene detection methods that use new feature extraction/selection strategies based on Discrete Cosine Transform (DCT) of scenes obtained from aircraft-based cameras. Whenever a scene
This paper presents results of power line scene detection methods that use new feature extraction/selection strategies based on Discrete Cosine Transform (DCT) of scenes obtained from aircraft-based cameras. Whenever a scene
Publikováno v:
Digital Signal Processing. 77:187-194
WOS: 000432635500014
In order to cope with classification problems involving large datasets, we propose a new mathematical programming algorithm by extending the clustering based polyhedral conic functions approach. Despite the high classificati
In order to cope with classification problems involving large datasets, we propose a new mathematical programming algorithm by extending the clustering based polyhedral conic functions approach. Despite the high classificati