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 ...
IEEE

Enhancing Automated Seizure Detection via Self-Calibrating Spatial-Temporal EEG Features with SC-LSTM

Abstract: Epilepsy, a highly individualized neurological disorder, affects millions globally. Electroencephalography (EEG) remains the cornerstone for seizure diagnosis, yet manual interpretation is ...
IEEE

Multi-Entropy Feature Extraction With LSTM Networks for Acoustic Emission-Based Railway Crack Localization

Abstract: Railway infrastructure security is contingent upon the prompt identification of structural anomalies within steel tracks. This research establishes a framework that merges acoustic emission ...
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
Frontiers

HASTF: a hybrid attention spatio-temporal feature fusion network for EEG emotion recognition

EEG-based emotion recognition has gradually become a new research direction, known as affective Brain-Computer Interface (aBCI), which has huge application potential in human-computer interaction and ...
Frontiers

Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization

Developing models for identifying mild traumatic brain injury (mTBI) has often been challenging due to large variations in data from subjects, resulting in difficulties for the mTBI-identification ...