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First Time Using Livescope: Giant Crappie Beatdown

Cole & Jay test Livescope for the first time and score a giant crappie beatdown. Paul Allen's estate enters a formal agreement to sell Trail Blazers to group led by Tom Dundon How Charlie Sheen burned ...
The Intercept

Democrats Have a Gerontocracy Problem. The Crypto Industry Is Using That to Its Advantage.

When former congressional staffer Jake Rakov launched a primary bid against his old boss, Rep. Brad Sherman, D-Calif., the race seemed to fit a pattern. The Democratic primary season is quickly ...
Wall Street Journal

Hang Seng Index HSI

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...
Hosted on MSN

Big Brother’s Kelley Jorgensen is accused of using a racial slur by fans

Kelley Jorgensen is being accused of utilizing a racial slur. Kelley is currently a contestant competing on Big Brother season 27. Live feed footage from the show has been circulating online since ...
IEEE

Remining Useful Life Prediction Using Graph Neural Networks for Rolling Bearing

Abstract: Remaining Useful Life (RUL) prediction is a necessary tool for condition monitoring and health management of rotating machinery, which is very important to ensure safe and economical ...
IEEE

Predicting Global Average Temperature Time Series Using an Entire Graph Node Training Approach

Abstract: The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is ...
IEEE

A Graph-Based Hyperspectral Change Detection Framework Using Difference Augmentation and Progressive Reconstruction With Limited Labels

Abstract: Identifying land cover changes based on hyperspectral images (HSIs) has been a research hotspot in the field of remote sensing (RS). In recent years, deep-learning (DL)-based change ...
IEEE

Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks

Abstract: Predicting the multimodal future motions of neighboring agents is essential for an autonomous vehicle to navigate complex scenarios. It is challenging as the motion of an agent is affected ...
IEEE

Body RFID Skeleton-Based Human Activity Recognition Using Graph Convolution Neural Network

Abstract: Human activity recognition (HAR) has become a hotspot. However, the existing HAR has some shortcomings, such as few recognized human activities, no identification, privacy leakage, and ...
GitHub

SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

📌 TL;DR: This paper introduces a real-world graph dataset empowering researchers to leverage GNNs for supply chain problem-solving, enhancing production planning capabilities, with benchmark scores ...
IEEE

Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis

Abstract: Anatomical segmentation is a fundamental task in medical image computing, generally tackled with fully convolutional neural networks which produce dense segmentation masks. These models are ...