IEEE

Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification

Abstract: Learning from a limited number of labeled samples (pixels) remains a key challenge in the hyperspectral image (HSI) classification. To address this issue, we propose a deep metric ...

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
IEEE

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional ...

Abstract: Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI) classification using a convolutional ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...