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Toplam kayıt 7, listelenen: 1-7
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 ...
Convolution of some slanted half-plane mappings with harmonic strip mappings
(Işık University Press, 2021)
In this paper, we show that the convolution of generalized half-plane mapping and harmonic vertical strip mapping with dilatation eⁱᶱ zⁿ (n ∈ N, θ ∈ R) is convex in a particular direction and also solve the problem proposed ...
Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis
(IEEE, 2021-09-17)
Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal ...
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 ...
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 ...
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 ...