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Toplam kayıt 20, listelenen: 1-10
Subclass of m-quasiconformal harmonic functions in association with Janowski starlike functions
(Elsevier Science Inc, 2018-02-15)
Let's take f(z) = h (z) + <(g(z))over bar> which is an univalent sense-preserving harmonic functions in open unit disc D = {z : vertical bar z vertical bar < 1}. If f (z) fulfills vertical bar w(z)vertical bar = ...
An adaptive locally connected neuron model: Focusing neuron
(Elsevier B.V., 2021-01-02)
This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The experiments include tests of focusing neuron networks of one or two hidden layers on synthetic ...
Uzaktan algılanan görüntülerde bina yoğunluğu kestirimi için derin öğrenme
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
Bu bildiri, derin öğrenme yöntemleri uygulayarak uzaktan algılamalı optik görüntülerde bina yoğunluğunun noktasal olarak kestirilmesi ile ilgilidir. Bu çalışma kapsamında, evrişimsel sinir ağına (ESA) dayalı derin öğrenme ...
On starlike harmonic functions
(Işık University Press, 2019)
Uniformly starlike univalent functions introduced by Goodman and we develop this idea over harmonic functions. We introduce a subclass of harmonic univalent functions which are fully starlike and uniformly starlike also. ...
Animal sound classification using a convolutional neural network
(IEEE, 2018-12-06)
In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network architecture. As the input to the network, sound files were preprocessed ...
Co-registration of surfaces by 3D least squares matching
(Amer Soc Photogrammetry, 2010-03)
A method for the automatic co-registration of 3D surfaces is presented. Die method utilizes the mathematical model of Least Squares 2D image matching and extends it for solving the 3D surface matching problem The transformation ...
Subset selection for tuning of hyper-parameters in artificial neural networks
(IEEE, 2017)
Hyper-parameters of a machine learning architecture define its design. Tuning of hyper-parameters is costly and for large data sets outright impractical, whether it is performed manually or algorithmically. In this study ...
Certain subclass of univalent functions associated with M–series based on q–derivative
(Işık University Press, 2021)
By applying the q–derivative, M–series, convolution an subordination structures, we introduce a new subclass of univalent functions. For this subclass of functions, we obtain coefficient inequality, convexity and convolution ...
Çizge evrişim ağı kullanarak patojen-konak ağlarında protein etkileşim tahmini
(IEEE, 2021-06-09)
Proteinler yaşamsal faaliyetlerin gerçekleşmesinde kritik rol oynayan biyolojik moleküllerdir. Konak canlı proteinleri ile patojen proteinleri arasındaki etkileşimler patojenkonak etkileşim (PHI) ağlarını oluşturmaktadır. ...
Unsupervised textile defect detection using convolutional neural networks
(Elsevier Ltd, 2021-12)
In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It ...