Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
IEEE

A Comparative Study of Deep Learning Semantic Segmentation Models for Kidney Segmentation in Ultrasound Images Using the Open Kidney Ultrasound Dataset

Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...
Search Engine Land

Semantic SEO: How to optimize for meaning over keywords

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 ...
IEEE

End-to-end 3D Transformer Semantic Segmentation Architecture for Few-Shot Classification with Hyperspectral Multiscale Spatial-Spectral Attention

Abstract: The application of hyperspectral image (HSI) has expanded from earth observation in large scenes to medical and industrial detection in small scenes. However, there are still many challenges ...
Frontiers

DSC-DeepLabv3+: a lightweight semantic segmentation model for weed identification in maize fields

Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...
Frontiers

Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage

Introduction: Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point ...