Results 11 to 20 of about 118,357 (248)
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning [PDF]
AAAI Conference on Artificial Intelligence, 2016 Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance at relatively low ...
Christian Szegedy +3 more
semanticscholar +1 more source
Automatic adaptive weighted fusion of features-based approach for plant disease identification
Journal of Intelligent Systems, 2023 With the rapid expansion in plant disease detection, there has been a progressive increase in the demand for more accurate systems. In this work, we propose a new method combining color information, edge information, and textural information to identify ...
Kirti +2 more
doaj +1 more source
Agronomy, 2023 Rice production has faced numerous challenges in recent years, and traditional methods are still being used to detect rice diseases. This research project developed an automated rice blast disease diagnosis technique based on deep learning, image ...
Syed Rehan Shah +5 more
semanticscholar +1 more source
Development of revised ResNet-50 for diabetic retinopathy detection
BMC Bioinformatics, 2023 Background Diabetic retinopathy (DR) produces bleeding, exudation, and new blood vessel formation conditions. DR can damage the retinal blood vessels and cause vision loss or even blindness.
Chun-Ling Lin, Kun-Chi Wu
semanticscholar +1 more source
Face Expression Classification in Children Using CNN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 One of the turbulent emotions can be recognized from facial expressions. When compared with adults, children's facial expressions are more expressive for positive emotions and ambiguous for negative emotions so that they are much more difficult to ...
Yusril Ihza, Danang Lelono
doaj +1 more source
Image Description Generator using Residual Neural Network and Long Short-Term Memory [PDF]
Computer Science Journal of Moldova, 2023 Human beings can describe scenarios and objects in a picture through vision easily whereas performing the same task with a computer is a complicated one.
Mahesh Kumar Morampudi +3 more
doaj +1 more source
Connection Science, 2022 Aiming at the problems of few detecting samples, deformable target sizes and overlapping among targets in the detection of headdresses and seats of Thangka Yidam, we propose an optimised few shot Thangka detection method based on the ResNet and ...
Hu Wenjin +5 more
doaj +1 more source
Frontiers in Physiology, 2023 Purpose: We aim to present effective and computer aided diagnostics in the field of ophthalmology and improve eye health. This study aims to create an automated deep learning based system for categorizing fundus images into three classes: normal, macular
Yuhang Pan +14 more
semanticscholar +1 more source
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs [PDF]
ICMLDE, 2023 Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for effectively treating and managing the disease. Pneumonia is a common respiratory infection caused by bacteria, viruses, or fungi and can indiscriminately affect people ...
Mehdi Neshat +4 more
semanticscholar +1 more source
Diabetic Retinopathy Detection From Fundus Images Using Multi-Tasking Model With EfficientNet B5 [PDF]
ITM Web of Conferences, 2022 Diabetic Retinopathy (DR) is a common eye disease that affects over 3 million people annually. People with diabetes are more prone to suffer from Diabetic Retinopathy. This condition can cause blurring of vision and blindness.
Bhawarkar Yash +3 more
doaj +1 more source