Electrical Engineering and Systems Science

Exploring new methods for segmenting music structure and their implications.

A new approach to translating songs that aligns lyrics with melodies effectively.

A new method improves TTS systems using less labeled speech data.

This research looks at using adaptive music in DareFightingICE for player insights.

Researchers develop LIPSFUS dataset for better lip reading systems.

This framework enhances speaker verification using unlabeled data and clustering techniques.

A new framework enhances emotion detection using self-supervised learning.

This approach links video actions and sound using physics for better sound effects.

New methods enhance accuracy in ultrasound imaging of soft tissues.

CLADE enhances medical imaging by improving image quality without paired data.

A new method enhances the conversion of processed images to raw-like formats.

Introducing XGC-VQA for effective video quality evaluation across diverse content types.

MuLUT offers improved image quality and efficiency for various applications.

Deep transfer learning enhances detection of lung diseases from chest X-rays.

A new system enhances medical imaging quality assessments with explainability.

New method enhances MRI interpretation using limited data from smaller clinics.

A study shows deep learning can accurately detect atrial fibrillation in noisy ECG recordings.

Learn about spectrum estimation's importance and methods across various fields.

Pi-ViMo uses non-contact radar for flexible vital sign monitoring.

New techniques utilize existing signals for accurate indoor positioning.

A new method enhances EEG data analysis for brain-computer interfaces.

Effective placement of sensors in buildings protects privacy while collecting useful data.

New methods improve MRI image quality for better patient outcomes.

A new approach to communication emphasizes meaning and context in human-machine interactions.

PINNSim uses neural networks to improve efficiency in power system simulations.

Neural operators streamline control design for complex PDEs, enhancing efficiency.

Exploring the role of Koopman operator theory in advancing vehicle performance and safety.

HDNNs offer stable training and approximation capabilities for complex tasks.

A look into how digital signals impact circuit design through thresholded mode-switched ODEs.

Fast and cost-effective method for UAV system identification in real-world conditions.

A new method simplifies traffic routing with less communication among vehicles.

New techniques utilize existing signals for accurate indoor positioning.