Hacker

Building a Facial Recognition Pipeline with Deep Learning in Tensorflow

Your browser does not support the audio element. Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications ...
IEEE

Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification

Abstract: Image classification plays an important role in remote sensing. Earth observation (EO) has inevitably arrived in the big data era, but the high requirement on computation power has already ...
IEEE

An Intelligent Traffic Monitoring System in Congested Regions with Prioritization for Emergency Vehicle Using UAV Networks

Abstract: Unmanned Aerial Vehicles (UAVs) are enabled to be fast and flexible in managing traffic compared to the conventional methods. However, in emergencies, this system takes more time to identify ...
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 ...
GitHub

practical-tutorials/project-based-learning

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

DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking

Additional evaluations on PAMAP2 and MHEALTH suggested that the convolutional backbone retained useful class-ranking ability on public IMU-based HAR datasets, while the reduced macro F1-scores ...
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, ...