Frontiers

Multi-source domain adaptation for EEG emotion recognition based on inter-domain sample hybridization

Background: Electroencephalogram (EEG) is widely used in emotion recognition due to its precision and reliability. However, the nonstationarity of EEG signals causes significant differences between ...
Frontiers

Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model

1 The College of Computer, Qinghai Normal University, Xining, China 2 Department of Mechanical and Electrical Engineering, College of Xining Urban Vocational and Technical, Xining, China Traditional ...
EurekAlert!

From global open multi-source data to network-wide traffic flow: A large-scale case study across multiple cities

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
IEEE

Design of Multi-Source Heterogeneous Data Fusion Algorithm for Distribution Networks Based on Improved Kalman Filter

Abstract: The complexity of multi-source heterogeneous data in distribution network is high and Significant deviations in multi-source heterogeneous data increase the complexity of fusion multi-source ...
GitHub

Multi-Source Multi-Modal Domain Adaptation

Learning from multiple modalities has recently attracted increasing attention in many tasks. However, deep learning-based multi-modal learning cannot guarantee good generalization to another target ...
GitHub

Multi-Source Domain Adaptation for Panoramic Semantic Segmentation

Abstract: Unsupervised domain adaptation methods for panoramic semantic segmentation utilize real pinhole images or low-cost synthetic panoramic images to transfer segmentation models to real ...
Indiatimes

Let’s understand why multi-source cooking oil is better for heart health

The author is Professor, Department of Studies in Food Science and Nutrition University of Mysore. All fats and oils are composed of fatty acids viz., saturated (SFA), monounsaturated (MUFA) and ...