IEEE

Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring

Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...
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 ...
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

Corner Proposal Network for Anchor-free, Two-stage Object Detection

The code to train and evaluate the proposed CPN is available here. For more technical details, please refer to our arXiv paper. CPN is an anchor-free, two-stage detector which gets trained from ...
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 ...