In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Bee Newboult, head of regional marketing and expansion at Customs Support Group, looks at the risks of placing too much trust ...

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...

The global launch of “Neural Intelligence in IT and HR” marks a remarkable advancement in the field of Artificial ...

Abstract: Increasingly large document collections require progressed information processing techniques for searching, retrieving, and organizing textual content. Document Classification is the pastime ...

A comprehensive two-stage deep learning framework for kidney tumor subtype classification from CT imaging, featuring contrast enhancement techniques and achieving state-of-the-art performance.

Abstract: The rapid expansion of digital archives and scanned document collections has underscored the importance of reliable and efficient document classification techniques. Traditional methods that ...

在植物学、农业科学和环境监测领域，花粉识别与分类是一项基础而重要的工作。传统方法依赖专家经验 ...

This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...

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 ...