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Toplam kayıt 39, listelenen: 1-10
The investigation of the effect of saturation flow on the average vehicle delay at signalized intersections
(Izmir Democracy University, 2021-12-18)
Saturation flow (s) is one of the most important parameters used for determining of signal timings at signalized intersections. Therefore, this parameter directly affects the various intersection performance criteria such ...
Evrisimsel sinir ağları ile rekabetçi derin öğrenme
(Tübitak, 2021-09-15)
İmge üzerinde nesne tanımada, nesnenin imge üzerindeki yeri, açısal yönelimi ve ölçeği algoritmik olarak çözülmesi gereken önemli zorluklardır. Bu zorlukları aşmak için son yıllarda en sık kullanılan ve en başarılı sonuçları ...
Programlamaya giriş dersini alan öğrencilerin programlama öz yeterlilik algılarının ve programlamaya bakış açılarının incelenmesi
(Düzce Üniversitesi, 2021-05-29)
Bu çalışmada üniversite öğrencilerinin Java programlama öz yeterlilik algıları, programlama öğrenme istekleri ve çalışma alışkanlıkları çeşitli değişkenlere göre (cinsiyet, bölüm, eğitim dili, harf notu, ders tekrarları ...
Improvement of seismic performance of precast frames with cladding panels fastened by energy dissipative steel cushions
(Springer, 2021-09)
Precast reinforced concrete panels are commonly used as wall claddings in precast buildings. The cladding panels are generally evaluated as non-structural members and are joined to structural systems via mechanical, welding, ...
Challenges in the CO2 emissions of the Turkish power sector: Evidence from a two-level decomposition approach
(Elsevier Ltd, 2021-06)
Decarbonization of the energy system is urgent to avert the disruptions in the climate. Considering its share, the low carbon transition of the power sector is pivotal. Growing electricity demand poses unique challenges ...
Transient multi-domain thermal modeling of interrupted cutting with coated tools
(Springer Science and Business Media Deutschland GmbH, 2021-09)
Interrupted cutting operations, such as milling, produce fluctuating tool temperatures which directly affect the process outputs. Thus, prediction of cutting tool temperatures enables process planning, selection of materials ...
Least minimum symbol error rate based post-distortion for adaptive mobile VLC transmission with receiver selection
(Elsevier B.V., 2021-08)
In the context of beyond-5G indoor communication systems, visible light communication (VLC) has emerged as a viable supplement for existing RF-based systems and as an enabler for high datarate communications. However, the ...
Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images
(Elsevier B.V., 2021-06)
The novel coronavirus (COVID-19) could be described as the greatest human challenge of the 21st century. The development and transmission of the disease have increased mortality in all countries. Therefore, a rapid diagnosis ...
Adaptive convolution kernel for artificial neural networks
(Academic Press Inc., 2021-02)
Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ...
A fractional-order transitional Butterworth-Butterworth filter and its experimental validation
(IEEE, 2021)
This paper introduces the generalization of the classical Transitional Butterworth-Butterworth Filter (TBBF) to the Fractional-Order (FO) domain. Stable rational approximants of the FO-TBBF are optimally realized. Several ...