IEEE

Robust Feature Extraction Using Temporal Context Averaging for Speaker Identification in Diverse Acoustic Environments

Abstract: Speaker identification in challenging acoustic environments, influenced by noise, reverberation, and emotional fluctuations, requires improved feature extraction techniques. Although ...
IEEE

A Medium to Long-Term Multi-Influencing Factor Copper Price Prediction Method Based on CNN-LSTM

Abstract: Non-ferrous copper prices exhibit high noise, non-smoothness, and non-linearity, which pose significant challenges to accurate price prediction. One of the current methods for predicting ...

Ultrafast scanning tunneling microscopy reaches the quantum mechanical space-time limit for the first time

Werner Heisenberg's famous uncertainty principle describes one of the most intriguing features of quantum physics: certain pairs of physical quantities describing a particle, such as position and ...
Frontiers

A dual-stream temporal attention LSTM with visual feature enhancement for depression screening in incarcerated populations

AI in Precision Psychiatry and Neurodevelopmental Disorders: From Subjective Diagnosis to Objective Biomarkers ...
GitHub

MSA-Rafi/Domain-Knowledge-Integrated-CNN-xLSTM-xAtt-Multi-Stream-Feature-Fusion-Cuffless-BP-Estimation-PPG

To ensure robust feature learning from the peaks, a convolution-based peak enhancement (CPE) method has been employed in this work. For feature extraction, the refined signals are processed using two ...
GitHub

ai-agriculture-circuits-and-systems/ai_agriculture_news

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...