Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Kemal Leblebicioglu"'
Publikováno v:
Gynecology Obstetrics & Reproductive Medicine, Vol 25, Iss 2, Pp 67-69 (2019)
Objective: To introduce an intelligent prenatal screening system, using triple test variables. Study Design: In this study, we have used a backpropagation learning algorithm (a supervised artificial neural network) to develop an intelligent antenata
Externí odkaz:
https://doaj.org/article/2e53beecc0ac47419110dc75c875c435
Autor:
Gokhan Ozdogan, Kemal Leblebicioglu
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 27:4011-4021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaa8ce075479d28635cdeaf2f2cb3d8d
https://doi.org/10.1109/tmech.2022.3150713
https://doi.org/10.1109/tmech.2022.3150713
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:17258-17270
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578022980489e6ab1b7880dc752c93bb
https://doi.org/10.1109/tits.2022.3159747
https://doi.org/10.1109/tits.2022.3159747
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 6:390-405
In this paper, an energy optimal controller is designed with torque, speed and battery constraints, and detailed sensitivity analyses are performed. The design is tested on the gross motion mathematical model of the vehicle moving on a variable-slope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8332270e841a2589e8dc02e6de2258d1
https://doi.org/10.1109/tiv.2020.3033287
https://doi.org/10.1109/tiv.2020.3033287
Autor:
Egemen Belge, Kemal Leblebicioglu, Recep Fatih Cantekin, Rifat Hacioglu, Senol Hakan Kutoglu, Berna Erol, Seda Karadeniz Kartal, Volkan Akgul, Sedar Kurtulus Gormus
Publikováno v:
INISTA
Underwater mapping is important for many studies such as underwater cable/pipe platform placement and monitoring, bridge piers placement, dam construction, geological and geophysical studies. The position and orientation information of the sea surfac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99395621cf749176f093d419da54747a
https://doi.org/10.1109/inista52262.2021.9548442
https://doi.org/10.1109/inista52262.2021.9548442
Publikováno v:
Technology and Health Care. 27:49-59
BACKGROUND The diversity of the results of different hormone replacement therapy (HRT) protocols and the fuzziness of the conclusions have caused problems in routine clinical practice. OBJECTIVE To develop an intelligent decision-making system for HR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5a0bcbae6152d40c8561e41b9c9cf9
https://doi.org/10.3233/thc-181235
https://doi.org/10.3233/thc-181235
Autor:
Mehmet kemal Leblebicioglu
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b3526cc919fba1a8f99128705be039e
https://doi.org/10.3906/elk-2105-142
https://doi.org/10.3906/elk-2105-142
Autor:
Volkan Akgul, Egemen Belge, Senol Hakan Kutoglu, Kurtulus Sedar Gormus, Rifat Hacioglu, Kemal Leblebicioglu, Seda Karadeniz Kartal
Publikováno v:
2020 Innovations in Intelligent Systems and Applications Conference (ASYU).
The Global Positioning System (GPS) and integrated sonar systems are widely used for obtaining bathymetric data. While the water vehicle coordinates can be provided with real-time kinematic (RTK) GPS observations instantaneously, depth information ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02611e0ed47f7375ca651a7198e06aba
https://doi.org/10.1109/asyu50717.2020.9259876
https://doi.org/10.1109/asyu50717.2020.9259876
Publikováno v:
IEEE Transactions on Vehicular Technology. 67:1867-1880
In this paper, vehicle cornering along roads with low friction coefficient is studied, and an autopilot design is proposed to satisfy desired handling performance. A novel hierarchical optimization approach is presented to generate offline solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::025ff11a9b759bc9303cfab744d9a8ce
https://doi.org/10.1109/tvt.2017.2765245
https://doi.org/10.1109/tvt.2017.2765245
Publikováno v:
Gorm, Vol 25, Iss 2, Pp 67-69 (2019)
Objective: To introduce an intelligent prenatal screening system, using triple test variables.Study Design: In this study, we have used a backpropagation learning algorithm (a supervised artificial neural network) to develop an intelligent antenatal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15cd1488f91c37b2819470a82c283bec
https://doi.org/10.21613/gorm.2018.798
https://doi.org/10.21613/gorm.2018.798