Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: 4D LiDAR semantic segmentation classifies the semantic category of each LiDAR point and detects whether it is dynamic, a critical ability for tasks like obstacle avoidance and autonomous ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...

A relatively recent version of Python (ex: 3.10) and PyTorch (ex: 2.3) are required. All dependencies can be installed in a virtual environment with pip install -r ...

Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of ...

Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China The semantic segmentation of RGB-D images involves understanding objects appearances and ...

Microsoft yesterday announced the general availability of Semantic Kernel for Python and Java, advancing the open source AI integration SDK that is a key component of the company's Copilot stack of AI ...