The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

📋 Project Overview This project presents a novel CBAM-guided channel pruning framework for efficient osteoporosis classification using knee X-ray images. The methodology achieves 55.9% parameter ...

With what appears to be an extra finger on his right hand and no actual arrow in his bow, the man featured in the Department of Energy and Environmental Protection‘s Facebook post did not look like ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...

Abstract: Objective: Deep neural networks are widely used in the field of optical coherence tomography (OCT) to screen some common retinal diseases. However, for rare diseases with fewer cases for ...

Abstract: With the rapid development of computer vision technology, image classification algorithm based on deep learning has become a hot research and application field. At present, the mainstream ...