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Toplam kayıt 67, listelenen: 61-67
Performance Analysis of CNN Channel Attention Modules for Image Classification Task
(Çukurova Üniversitesi, 2023)
ncreasing the representation power of convolutional neural networks, a popular deep learning model, is one of the hot study topics recently. Channel attention is a common strategy followed in this regard. In this strategy, ...
Breast cancer diagnosis using deep belief networks on ROI images
(Pamukkale Üniversitesi, 2022)
Hand-crafted features are efficient methods for image processing, recognition, and computer vision. However, the advancements in data size and image resolution lead to inconvenience in feature extraction. Moreover, they ...
CLAHE based Enhancement to Transfer Learning in COVID-19 Detection
(Gazi Akademi Yayıncılık, 2022)
Early diagnosis of COVID-19 disease becomes possible with the enhancements on feature learning and advanced pre-processing stages for classification of chest X-ray images using deep learning. Besides, high-performance ...
Gish: a novel activation function for image classification
(Springer, 2023)
In Convolutional Neural Networks (CNNs), the selection and use of appropriate activation functions is of critical importance. It has been seen that the Rectified Linear Unit (ReLU) is widely used in many CNN models. Looking ...
Parameter Selection in Elliptical Fourier Series for Leaf Classification
(Dokuz Eylül Üniversitesi, 2022)
Elliptical Fourier series method is a relatively old but powerful method in contour analysis. We have previously implemented this method as a module for a computer program called “BioMorph”. There are two significant ...
Trainable Self-Guided Filter for Multi-Focus Image Fusion
(Institute of Electrical and Electronics Engineers Inc., 2023)
Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point. To overcome this limitation, ...
Bul-Tak Oyuncağı Şekillerinin Klasik Görüntü İşleme ve Derin Öğrenme Yöntemleri ile Tespiti
(Bitlis Eren Üniversitesi, 2021)
Bilgisayar görme algoritmaları, teknolojinin ilerlemesiyle daha kullanılır hale gelmektedir. Klasik yöntemler olan görüntü işleme ve makine öğrenmesi algoritmaları ile yapılan bilgisayarlı görü uygulamaları halen kullanılsa ...