Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Gokhan Sengul"'
Publikováno v:
Egyptian Informatics Journal, Vol 23, Iss 2, Pp 291-301 (2022)
The recent innovations in network application and the internet have made data and network security the major role in data communication system development. Cryptography is one of the outstanding and powerful tools for ensuring data and network securi
Externí odkaz:
https://doaj.org/article/46f5b19f085242988801bd43cf1bc1a0
Publikováno v:
IEEE Access, Vol 9, Pp 131977-131994 (2021)
In this study, a framework that generates natural language descriptions of images within a controlled environment is proposed. Previous work on neural networks mostly focused on choosing the right labels and/or increasing the number of related labels
Externí odkaz:
https://doaj.org/article/3d01a7509b13472e937fc91dd46c1e27
Autor:
Tariq Khalifa, Gokhan Sengul
Publikováno v:
Tehnički Vjesnik, Vol 25, Iss 5, Pp 1356-1362 (2018)
Age prediction is an active study field that can be used in many computer vision problems due to its importance and effectiveness. In this paper, we present extensive experiments and provide an efficient and accurate approach for age range prediction
Externí odkaz:
https://doaj.org/article/fe274e85dba6437d92a21cf5bf4542ac
Publikováno v:
Multimedia Tools and Applications. 80:33527-33546
New mobile applications need to estimate user activities by using sensor data provided by smart wearable devices and deliver context-aware solutions to users living in smart environments. We propose a novel hybrid data fusion method to estimate three
Autor:
Aisha Douma, Abdussalam Ali Ahmed, Gokhan Sengul, Omer.S. M. Jomah, Fathia G. Ibrahim Salem, Johnson Santhosh
Publikováno v:
2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA.
For Arabic letters recognition, we achieve three of pattern recognition approaches namely gray level co-occurrence matrix (GLCM), local binary pattern recognition (LBP) and artificial neural network (ANN) and compare between them to result best perfo
Publikováno v:
2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA.
the aim of this paper is to recognize the Arabic handwriting letters by using histogram of oriented gradients (HOG). We collected 2240 letters by 8 people, each person wrote 28 alphabet letter 10 times. First of all we resize All 2240 hand writing le
Publikováno v:
Biomedical Signal Processing and Control. 71:103242
We implement a smart watch-based system to predict fall detection. We differentiate fall detection from four common daily activities: sitting, squatting, running, and walking. Moreover, we separate falling into falling from a chair and falling from a
Autor:
Gokhan Sengul, Tariq Khalifa
Publikováno v:
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi. :14-22
Gender prediction from facial images can be used in a large number of applications including human-computer interaction, customer information measurement, access control, etc. Furthermore, it can substantially effect on many fields, such as security
Publikováno v:
Surgical Endoscopy. 31:4485-4495
In neurosurgery education, there is a paradigm shift from time-based training to criterion-based model for which competency and assessment becomes very critical. Even virtual reality simulators provide alternatives to improve education and assessment
Autor:
Osman Kalender, Hakan Citak, Gokhan Sengul, Deniz Karacor, Korhan Levent Ertürk, Yavuz Ege, Adnan Kakilli, Sedat Nazlibilek
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:1803-1811
In this paper, a new magnetic measurement system is developed to determine upper surfaces of buried magnetic materials, particularly land mines. This measurement system uses the magnetic-anomaly-detection method. It also has intelligent identificatio