Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Umut Özkaya"'
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 27, Iss 2, Pp 229-233 (2021)
The electromagnetic frequency spectrum is divided into different sub-frequency bands. These sub-frequency bands are allocated for different applications. In these days, devices operating in multiple sub-frequency bands provide significant advantages.
Externí odkaz:
https://doaj.org/article/6961782d9f1c4af1b3b0bc3bac4a77e2
Autor:
UMUT Özkaya
Wearable devices may have significant disadvantages compared to non-contact sensors. In addition, heart and respiratory rate information may be insufficient for expert evaluation. Radar sensors allow vital signals to be detected without interfering w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c3ac4904f6a9738b24ced49f10678f
https://doi.org/10.21203/rs.3.rs-2465673/v1
https://doi.org/10.21203/rs.3.rs-2465673/v1
Autor:
Levent Seyfi, Umut Özkaya
Publikováno v:
Volume: 6, Issue: 2 84-92
Geomatik
Geomatik
Bu çalışmada, Yere Nüfuz eden Radar (YNR) B tarama görüntülerinin analizi için az parametre sayısına sahip K-En Yakın Komşuluk (K-EYK) algoritma tabanlı bir Konvolüsyonel Sinir Ağı (KSA) yapısı önerilmiştir. Önerilen KSA yapısı
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 27, Iss 2, Pp 229-233 (2021)
Volume: 27, Issue: 2 229-233
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi
Volume: 27, Issue: 2 229-233
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi
Elektromanyetik frekans spektrumu farklı alt frekans bantlara ayrılmıştır. Bu alt frekans bantları, farklı uygulamalar için tahsis edilmiştir. Günümüzde çoklu alt frekans bantlarında çalışan cihazlar önemli avantajlar sağlamaktadı
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
This study provides a comparative analysis of regression techniques to estimate the operating frequency of the C-like microstrip antenna. The performance of well-known regression techniques such as linear regression (LR), regression tree (RT), suppor
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-10
Since the grain is a crucial food source, the determination of the quantity of stored grain in silos is inevitable in terms of commercial and correct inventory planning. In this study, a convolutional neural network (CNN) is developed to determine gr
Autor:
Umut Özkaya
Publikováno v:
Avrupa Bilim ve Teknoloji Dergisi
Automatic Target Recognition (ATR) in Synthetic aperture radar (SAR) images becomes a very challenging problem owing to containing high level noise. In this study, a machine learning-based method is proposed to detect different moving and stationary
Autor:
Umut Özkaya, Şaban Öztürk
Publikováno v:
Multimedia Tools and Applications. 79:28825-28840
Automated medical image analysis is a challenging field of research that has become quite widespread recently. This process, which is advantageous in terms of both cost and time, is problematic in terms of obtaining annotated data and lack of uniform
Publikováno v:
Journal of Applied Remote Sensing. 15
Determining the amount of grain stored in silos is very important for accurate commercial inventory planning. A convolutional neural network (CNN) is developed for the first time to determine the amount of the grain using step-frequency continuous wa
Publikováno v:
Mobile Information Systems, Vol 2021 (2021)
Power quality disturbance (PQD) is essential for devices consuming electricity and meeting today’s energy trends. This study contains an effective artificial intelligence (AI) framework for analyzing single or composite defects in power quality. A