IEEE

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation

Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...
PNAS

Convolution identities for divisor sums and modular forms

Our research proves a conjecture from string theory asserting the vanishing of a specific convolution sum arising in the 4-graviton scattering amplitude in 10-dimensional type IIB string theory. The ...
IEEE

A Sparse Convolution Method to Reduce the Atmospheric Phase Screen of SAR Interferometry in the Coastal Region

Abstract: Effective mitigation of atmospheric phase screen (APS) is crucial for synthetic aperture radar (SAR) interferometry in coastal regions. However, existing methods suffer from various ...
GitHub

bug: frappe.db.get_value() stopped supporting SUM method

budget = frappe.db.get_value( 'Budget Plan and Utilisation', filters, ["SUM(total_planned_budget) as total_planned_budget","SUM(total_utilisation) as total ...
Entrepreneur

Billionaire Investor Frank McCourt Jr. Wants to Do More Than Buy TikTok — He Wants to Transform the Entire Internet. Here’s How.

Frank McCourt Jr. says buying TikTok would help him bring the U.S. one step closer to a new Internet. Here’s what he envisions. Frank McCourt Jr. is the billionaire investor behind Project Liberty, a ...
marktechpost

Meta AI Proposes Multi-Token Attention (MTA): A New Attention Method which Allows LLMs to Condition their Attention Weights on Multiple Query and Key Vectors

Large Language Models (LLMs) significantly benefit from attention mechanisms, enabling the effective retrieval of contextual information. Nevertheless, traditional attention methods primarily depend ...
Bleeping Computer

Phishing attack hides JavaScript using invisible Unicode trick

A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...
Frontiers

A novel parameter dense three-dimensional convolution residual network method and its application in classroom teaching

Introduction: Improving the rationality and accuracy of classroom quality analysis is crucial in modern education. Traditional methods, such as questionnaires and manual recordings, are ...
Frontiers

Short-time photovoltaic output prediction method based on depthwise separable convolution Visual Geometry group- deep gate recurrent neural network

In response to the issue of short-term fluctuations in photovoltaic (PV) output due to cloud movement, this paper proposes a method for forecasting short-term PV output based on a Depthwise Separable ...