Abstract: In the era of free speech and rapid internet expansion, curbing the dissemination of offensive content on social media has become a pressing concern for linguists and regulatory bodies. Hate ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Researchers in China propose and experimentally demonstrates a novel, deep learning-driven spectral recognition strategy, ...

LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has a problem that it cannot remember the context in a long sentence because ...

The Commission, led by Chairman Brendan Carr, has started a proceeding that will examine the relationship between networks and their affiliated stations. By Alex Weprin, Winston Cho In 1941, the ...

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...

Abstract: This article presents a deep neural network model that integrates long short-term memory (LSTM), fuzzy logic, and self-attention mechanism to enhance short-term power load forecasting, ...

Information collected during the yearslong Salt Typhoon attack could allow Beijing’s intelligence services to track targets from the United States and dozens of other countries. By Adam Goldman ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

The accelerating adoption of artificial intelligence (AI) has fueled robust growth for Arista Networks over the past few years. The company is a leading provider of switches, routers, and other ...