Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

A Dallas court heard arguments to determine if a Deep Ellum club will remain closed. Police and business owners testified about crime and safety issues at the club. The fate of the club is currently ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...

Abstract: Deep reinforcement learning (DRL) has emerged as a promising solution for autonomous operations of autonomous aerial vehicles (AAVs) in unknown environments. However, learning to navigate ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

College of Mathematics and Statistics, Northwest Normal University, Lanzhou, China. Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the ...

Abstract: Wireless channel responses contain rich multipath information, but accurately extracting this information remains challenging in complex indoor environments. In this letter, we propose a ...

This study develops a spatio-temporal forecasting model for predicting wind speeds across the Beijing-Tianjin-Hebei region over a 4-h horizon. The model, built using advanced deep learning techniques, ...