IEEE

TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection

Abstract: The abnormality in depression exhibits reciprocal imbalanced connectivity between brain regions rather than increased or decreased activity of one particular area. Current works primarily ...
IEEE

Multi-focus Image Fusion Using Morphological Filter-Based Bi-Dimensional Empirical Mode Decomposition and Gradient Optimization

Abstract: Aiming at improving the quality of multi-focus image fusion, this paper proposes a multi-focus image fusion method using morphological filter-based BEMD (Bi-dimensional empirical mode ...
IEEE

Pinning Control of Multiplex Dynamical Networks Using Spectral Graph Theory

Abstract: Pinning control has been attracting wide attention for the study of various complex networks for decades. This article explores grounded theory on the pinning synchronization of the emerging ...
IEEE

Improved Principal Component Analysis for Magnetic Gradient Signal Detection Using Dual Three-Axis Magnetometers

Abstract: Magnetic anomaly detection (MAD) is an effective technique for detecting ferromagnetic materials in the presence of a geomagnetic field. In this article, by integrating and enhancing the ...
IEEE

Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer

Abstract: In the graph signal processing (GSP) literature, graph Laplacian regularizer (GLR) was used for signal restoration to promote piecewise smooth / constant reconstruction with respect to an ...
IEEE

An Energy-Based Method for Predicting Battery Aging Using Newly Constructed Features in Fractal-Gradient-Enhanced LSTM Networks

Abstract: As an effective way, the incremental capacity analysis (ICA) method has been widely adopted in the battery aging prediction field. Using the aging features from the ICA method, the success ...
IEEE

High-Resolution Quasi-Geoid Recovery Over Coastal Zone by Using Airborne Gravity Gradient Data

Abstract: The potential of using airborne gravity gradient tensor (GGT) for coastal quasi-geoid (QG) refinement is explored, and the contributions introduced from individual GGT components and their ...
IEEE

Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem

Abstract: This study introduces a brand-new swarm-inspired algorithm dubbed dholes hunting-based optimization (DhoH) based on an animal hunting strategy to solve global optimization problems. The ...
kyivindependent

Ukraine could soon deploy 1,000 interceptor drones per day, defense minister says

Defense Minister Denys Shmyhal delivers a speech during a joint press conference with Polish Deputy Prime Minister and Defense Wladyslaw Kosiniak-Kamysz in Kyiv ...
Queerty

Are NYC cops using Sniffies for sting operations? Here’s what we know

Yesterday, CUNY professor and civil rights lawyer Jared Trujillo came to TikTok to warn queer men about an alleged sting operation that may be happening in New York’s Penn Station. According to ...
the-decoder

Delphi-2M predicts disease risks for over 1,000 conditions using health records

Researchers at EMBL-EBI and DKFZ developed Delphi-2M, a transformer model trained on health records that predicts individual disease risks and timing for over 1,000 conditions by processing medical ...
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 ...