Porous-DeepONet is a novel deep operator network that utilizes convolutional neural networks to efficiently solve parameterized PDEs in porous media. This framework provides a…
Browsing: Convolutional Neural Networks
This article discusses the use of Artificial Intelligence (AI) in various fields, particularly in machine learning and deep learning. It focuses on the application…
This article discusses the use of Convolutional Neural Networks (CNNs) in predicting aphasia severity following stroke. The results show that CNNs achieve higher predictive…
This article discusses the use of convolutional neural networks (CNNs) in detecting glaucoma from volumetric OCT images. The study compares the efficacy of 2D…
The article discusses the advancements in computer vision, specifically in the use of advanced neural network architectures such as Transformers and Convolutional Neural Networks…
This article discusses various methods for protecting edge computing and IoT-based frameworks from intrusion detection and identification. The research analyzes existing studies and compares…
In this article, a dual lesion attention network (DLA-Net) is proposed for the accurate and early detection of pneumoconiosis using chest X-rays. The network…
This article discusses the use of Convolutional Neural Networks (CNNs) in the field of Artificial Intelligence, specifically in analyzing complex datasets. The authors introduce…
This article explores some of the most influential deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs),…
This article discusses the use of computer-aided diagnostic systems, specifically the proposed “Color-CADx,” for the recognition of colorectal cancer (CRC). The system utilizes deep…