IEEE

A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer

Abstract: Emotion recognition based on EEG signals has been a challenging task. The acquisition of EEG signals is complex, time-consuming, and has a high overhead. Artificial Intelligence Generated ...
IEEE

3-D Inversion of the Data-Normalized Time-Lapse Controlled-Source Audio-Frequency Magnetotelluric Method

Abstract: Geophysical methods can be used to monitor changes in physical parameters in the subsurface. By collecting relevant data at different moments at the same location, changes can be visually ...
IEEE

Space-Frequency Fusion Dual-Branch Convolutional Neural Networks for Significant Wave Height Retrieval From GF-3 SAR Data

Abstract: Deep learning in synthetic aperture radar (SAR) sea state retrieval is becoming increasingly prevalent. In current studies, convolutional neural networks (CNNs) are widely employed to ...
IEEE

FDSANet: Seismic Data Reconstruction Based on a Frequency-Domain Self-Attention Network

Abstract: The seismic data reconstruction is a crucial step in seismic data processing. Most existing methods reconstruct seismic data in the spatial domain, often ignoring some important frequency ...
GitHub

Frequency differencing method that generates low-frequency data for kickstarting full-waveform inversion

Ultrasound tomography (UST) is a medical imaging system that uses the transmission of ultrasound through tissue to create images of the speed of sound. Currently, the main algorithm used to provide ...
IEEE

Comprehensive Personal Health Knowledge Graph for Effective Management and Utilization of Personal Health Data

Abstract: The widespread use of electronic health records (EHRs) and wearable devices has generated a massive amount of personal health data (PHD) that can be utilized for research and patient care.
IEEE

Transfer Learning-Based Region Statistical Data Completion via Double Graphs

Abstract: Region statistical data is widely utilized as fundamental spatial information for urban status observation, urban planning, and the formulation of urban policies. In practice, the collected ...
IEEE

A 32Gb/s NRZ Low-Bias DFB Driver with Frequency Boosting for High Efficiency Data Transmission

Abstract: This paper presents a 32Gb/s non-return-to-zero (NRZ) distributed feedback (DFB) laser diode driver (LDD) fabricated in 65nm CMOS. The driver is directly wire-bonded to the laser diode ...
IEEE

Weighted Strong Product Graphs Based on Frequency Equilibrium

Abstract: With the emergence of large-scale and time-varying signals on graphs, product graphs have recently been used to handle these signals and approximate data topologies by integrating spatial ...
IEEE

A Unified Spatiotemporal Frequency Graph Neural Network for fMRI-based Brain Functional Connectivity Analysis

Abstract: Analyzing functional connectivity patterns from resting-state functional magnetic resonance imaging (fMRI) requires unraveling its interrelations across spatial, temporal, and frequency ...
IEEE

A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data

Abstract: Knowledge Graphs (KGs) have recently emerged as a powerful tool for extracting directed multi-relational "knowledge" from structured facts within massive urban mobility data, supporting ...
GitHub

Icinga Web Performance Data Graphs

Icinga Web Module for Performance Data Graphs. This module enables graphs on the Host and Service Detail View for the respective performance data. The data is fetched by a "backend module", at least ...