IEEE

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have been extensively studied for hyperspectral image classification (HSIC). However, CNNs are critically attributed to a large number of labeled ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
AZoNano

Machine Learning Reveals Hidden Nanophotonic Resonances In Silicon-Gold Nanopillars

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
GitHub

Awesome - Most Cited Deep Learning Papers

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
GitHub

intisarabdullajabir/Pneumonia-CNN-Matlab

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
IEEE

Li Li

Neural Network,Hardware Implementation,Power Consumption,Hardware Architecture,Spiking Neural Networks,Artificial Neural Network,Bit-width,Convolutional Neural Network,Deep Neural Network,Hardware ...