IEEE

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling

Abstract: In process industries, accurate prediction of critical quality variables is particularly important for process control and optimization. Usually, soft sensors have been developed to estimate ...
Frontiers

Electroencephalography-based neural indicators of texture preference for cosmetic formulations

This study investigated the correlation between subjective preferences for different cosmetic formulations and brain activity measured using electroencephalography (EEG). EEG data were collected from ...
IEEE

CorMulT: A Semi-Supervised Modality Correlation-Aware Multimodal Transformer for Sentiment Analysis

Abstract: Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions, and benefits a variety of ...
Hosted on MSN

Public facing multiple environmental threats in local areas, analysis finds

Communities in England are facing increased flood risks, air pollution and sewage leaks in their area, an analysis of constituency-level data suggests. Researchers from campaign group Friends of the ...