IEEE

Knowledge Graph-Guided Deep Network for Hyperspectral Remote Sensing Image Classification

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...
Sports Illustrated

Mahomes Has Brutally Simple Answer Why Chiefs Are Misfiring Deep

KANSAS CITY, Mo. – Kansas City quarterback Patrick Mahomes spoke from the podium before practice on Wednesday. The Chiefs (5-5) are hosting Indianapolis (8-2) on Sunday (12 p.m. CT, CBS/KCTV, Channel ...
来自MSN

What Is In-Context Learning in Deep Learning – Simple Explanation

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Supreme Court Deals ...
Frontiers

A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and ...

Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. However, developing algorithms to analyze complex fundus images ...
IEEE

A Hyperspectral Classification Method Based on Deep Learning and Dimension Reduction for ...

Abstract: Hyperspectral remote sensing images exhibit high dimensionality, a large volume of data, and significant redundant information. Before using deep learning methods for ground monitoring and ...
Frontiers

Deep learning and explainable AI for classification of potato leaf diseases

The accurate classification of potato leaf diseases plays a pivotal role in ensuring the health and productivity of crops. This study presents a unified approach for addressing this challenge by ...