Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ali Seydi Keceli"'
Automatic Dependent Surveillance Broadcast (ADS-B) is one of the most prominent protocols in Air Traffic Control (ATC). Its key advantages derive from using GPS as a location provider, resulting in better location accuracy while offering substantiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29f9215b06c881366692f9eec3501bf6
https://hdl.handle.net/10576/36789
https://hdl.handle.net/10576/36789
Autor:
Antonin Abherve, Benny Akesson, Mehmet Akşit, Wilbert Alberts, Önder Babur, Alessandra Bagnato, Konstantinos Barmpis, Cagatay Catal, Michel R.V. Chaudron, Loek Cleophas, Antonio García-Domínguez, Regina Hebig, Jozef Hooman, Truong Ho-Quang, Aydin Kaya, Ali Seydi Keceli, Timo Kehrer, Michael Nieke, Güner Orhan, Christopher Pietsch, Eric J. Rapos, Gregorio Robles, Ramon Schiffelers, Christoph Seidl, Jack Sleuters, Matthew Stephan, Harald Störrle, Aishwarya Suresh, Bedir Tekinerdogan, Burak Uzun, Mark van den Brand, Adrian Yankov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::692e4be2a46e1969cba6b72e924facc4
https://doi.org/10.1016/b978-0-12-816649-9.00005-3
https://doi.org/10.1016/b978-0-12-816649-9.00005-3
Publikováno v:
Computers and Electronics in Agriculture 170 (2020)
Computers and Electronics in Agriculture, 170
Computers and Electronics in Agriculture, 170
Accurate prediction of calving time in dairy cattle is crucial for dairy herd management to reduce risks like dystocia and pain. Prediction of calving using traditional, manual observation such as observing breeding records and visual cues, however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a98cd5ed528643866a1eef6169ad2ce
https://doi.org/10.1016/j.compag.2020.105285
https://doi.org/10.1016/j.compag.2020.105285
Publikováno v:
Sensors (Switzerland), 20(11)
Sensors
Volume 20
Issue 11
Sensors (Switzerland) 20 (2020) 11
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3173, p 3173 (2020)
Sensors
Volume 20
Issue 11
Sensors (Switzerland) 20 (2020) 11
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3173, p 3173 (2020)
For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf422935ddc24ede320bee29572fdffd
https://research.wur.nl/en/publications/sensor-failure-tolerable-machine-learning-based-food-quality-pred
https://research.wur.nl/en/publications/sensor-failure-tolerable-machine-learning-based-food-quality-pred
Autor:
Ali Seydi Keceli, Aydin Kaya
Publikováno v:
European Journal of Science and Technology. :204-208
Otomatik hareket tanima sistemlerine ihtiyac, guvenlik kameralarinin sayisindaki hizli artistan dolayi giderek artmaktadir. Hareket tanima, bilgisayarli goru alaninda guncel bir arastirma alani olmasina karsin siddet iceren sahnelerin tespiti insan v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ae5f784625933bc71d5fcc46ca213b
https://doi.org/10.31590/ejosat.460257
https://doi.org/10.31590/ejosat.460257
Autor:
Ali Seydi Keceli
Publikováno v:
Expert Systems with Applications. 104:235-243
Usage of depth data in various computer vision applications gains popularity with cheap depth sensors available on the market. In this study, a method that utilizes Deep Learning is proposed for single human actions and dyadic actions. Depth data of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe67df119c7909d4a8f8b5e89eecbb3
https://doi.org/10.1016/j.eswa.2018.03.047
https://doi.org/10.1016/j.eswa.2018.03.047
Publikováno v:
Signal, Image and Video Processing. 12:1197-1205
In activity recognition, usage of depth data is a rapidly growing research area. This paper presents a method for recognizing single-person activities and dyadic interactions by using deep features extracted from both 3D and 2D representations, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35e533de3fbbf8a28158c1744e4623a9
https://doi.org/10.1007/s11760-018-1271-3
https://doi.org/10.1007/s11760-018-1271-3
Publikováno v:
IET Computer Vision. 12:331-339
Usage of depth sensors in activity recognition is an emerging technology in human-computer interaction. This study presents an approach to recognise human-to-human interactions by using depth information. Both hand-crafted features and deep features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b93ad8993ab3acccf964acd708240927
https://doi.org/10.1049/iet-cvi.2017.0204
https://doi.org/10.1049/iet-cvi.2017.0204
Publikováno v:
Egyptian Informatics Journal, Vol 26, Iss , Pp 100455- (2024)
With the recent worldwide statistical rise in the amount of public violence, automated violence detection in surveillance cameras has become a matter of high importance. This work introduces an end-to-end, trainable 3D Convolutional Neural Network (3
Externí odkaz:
https://doaj.org/article/c86a45b759b54c26af8b3bd727315846
Publikováno v:
IETE Journal of Research. 63:461-472
White matter lesions (WMLs) in the human brain are generally diagnosed by using magnetic resonance (MR) images. Doctors working on WMLs generally need to calculate the volume of lesions for each patient at regular intervals in order to observe the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c78b138e708b5b645912ca5138f1b86
https://doi.org/10.1080/03772063.2017.1284619
https://doi.org/10.1080/03772063.2017.1284619