Construct a convolutional neural network using TensorFlow/Keras and understand each layer's role. Optimize the model training process using callbacks such as early stopping and learning rate ...

We provide a novel method for local climate zone (LCZ) classification utilizing deep learning and big data to merge publicly available SAR and multispectral (MS) data, gathered by the Sentinel-1 and ...

Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem. In ...

Objective: This study aimed to evaluate whether deep learning-based image reconstruction (DLR) improves the accuracy of diffusion tensor imaging (DTI) measurements used to assess the severity of ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...