IEEE

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease ...

Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need ...
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 ...
The HR Digest

How to Create a Culture of Continuous Learning, the Japanese Way

When CARL, a Japanese stationery company, was honored with an Honorable Mention in the Red Dot Award: Product Design 2025, few were surprised. This is, after all, the country where even the smallest ...
Forbes

Creating A Home Where Learning Thrives

The Learning Household, a new book by Ken Bain and Marsha Marshall Bain, truly resonated with me because it affirms something I have always believed as a parent: the home should be a place where ...
Frontiers

GLN-LRF: global learning network based on large receptive fields for hyperspectral image ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...
C&EN

Attention-Enhanced Multi-Task Deep Learning Model for Classification and Segmentation of ...

Pathophysiology Department, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China Tianjian Laboratory of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, Henan ...
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 ...