Results 1 to 10 of about 17,494 (194)
High-Capacity Image Steganography Based on Improved Xception [PDF]
Sensors, 2020 The traditional cover modification steganography method only has low steganography ability. We propose a steganography method based on the convolutional neural network architecture (Xception) of deep separable convolutional layers in order to solve this problem.
Xintao Duan, Gou Mengxiao, Nao Liu
exaly +5 more sources
Xception ile Histopatolojik Görüntülerden Oral Kanser Teşhisi
Journal of Advanced Research in Natural and Applied Sciences, 2023 Oral kanser dünya genelinde sık görülen bir kanser türlerindendir. Etkili olan hücre türüne göre farklı oral kanser türleri vardır. Oral kanser türleri arasında en yüksek oran skuamöz hücreli türüne aittir. Oral kanserin erken teşhisi tedavi açısından çok önemlidir.
Cihan Akyel
openaire +4 more sources
Image identification of cashmere and wool fibers based on the improved Xception network
Journal of King Saud University - Computer and Information Sciences, 2022 In order to solve the problem of insufficient features and overfitting in network training, an image identification method of cashmere and wool fibers based on an improved Xception network is proposed.
Yaolin Zhu +3 more
exaly +3 more sources
L2MXception: An Improved Xception Network for Classification of Peach diseases [PDF]
Plant Methods, 2020 Abstract Background: Peach diseases can cause severe yield reduction and decreased quality for peach production. Rapid and accurate detection and identification of peach diseases is of great importance. Deep learning has been applied to detect peach diseases using imaging data.
Na Yao +6 more
openaire +4 more sources
IJAIN (International Journal of Advances in Intelligent Informatics), 2023 The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches.
Kenan Morani +2 more
doaj +1 more source
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2021 Covid-19 infection, which first appeared in Wuhan, China in December 2019, affected the whole world in a short time like three months. The disease caused by the virus called SARS-CoV-2 affects many organs, especially the lungs, brain, liver and kidney ...
Özlem Polat
doaj +1 more source
Improved Lightweight Convolutional Networks for Classification of Grape Diseased Leaves
Journal of Harbin University of Science and Technology, 2023 Aiming at the problem of low accuracy and efficiency of traditional manual detection of types of grape leaf diseases, a grape leaf disease image classification method with improved lightweight convolutional network model is proposed First, the ReLU ...
HUANG Yinglai +3 more
doaj +1 more source
Open Engineering, 2023 The use of technology in everyday life is unavoidable, considering that technological advancement occurs very quickly. The current era is also known as industry 4.0.
Carnagie Jeremy Onesimus +6 more
doaj +1 more source
Waste material classification using performance evaluation of deep learning models
Journal of Intelligent Systems, 2023 Waste classification is the issue of sorting rubbish into valuable categories for efficient waste management. Problems arise from issues such as individual ignorance or inactivity and more overt issues like pollution in the environment, lack of resources,
Al-Mashhadani Israa Badr
doaj +1 more source
A hybrid ensemble deep learning approach for reliable breast cancer detection
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 Among the cancer diseases, breast cancer is considered one of the most prevalent threats requiring early detection for a higher recovery rate. Meanwhile, the manual evaluation of malignant tissue regions in histopathology images is a critical and ...
Mohamed Abdelmoneim Elshafey +1 more
doaj +1 more source