Streamline Your Entire Workday with Claude Remote Routines

Master Claude's five core features in 20 minutes. Learn how to use Chat, Code, Cowork, Design, and Routines to automate tasks ...
GitHub

U-Net: Convolutional Networks for Biomedical Image Segmentation

Biomedical image segmentation plays a crucial role in various medical applications, such as disease diagnosis and treatment planning. The U-Net architecture is a widely recognized deep learning model ...
IEEE

Coding Techniques for Backscatter Communications—A Contemporary Survey

Abstract: Backscatter communication (BackCom) networks enable passive/battery-free Internet-of-Thing devices, providing reliable, massive connectivity while ensuring self-sustainability, low ...
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 ...
IEEE

Xiaodong Xu

Semantic Information,Semantic Communication,Semantic Features,Communication Systems,Additive Noise,Peak Signal-to-noise Ratio,Edge Server,Internet Of Things,Channel ...
C&EN

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...
www.cs.cmu.edu

Matt Gormley

From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media. Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, David R. Mortensen, Taylor Berg-Kirkpatrick, ...