Electrical Engineering and Systems Science

FUTGA model enhances music understanding through detailed, time-specific descriptions.

A novel approach to estimating sound traits in challenging environments using deep learning.

A new music method enhances emotional expression through key consideration.

Research combines speech enhancement and transfer learning for better anti-spoofing systems.

New methods improve AI's capability to create structured music.

Wavespace offers innovative tools for better sound creation and control.

A new system enhances voice command recognition despite background noise.

New strategies aim to enhance synthetic datasets for better drum transcription.

X-Fake framework enhances the quality of simulated SAR images for better deep learning applications.

A new approach to improve medical image classification while preserving patient privacy.

This study introduces the Mean Opinion Score to assess AI explanation methods.

New techniques improve depth estimation in challenging conditions using single-photon LiDAR.

A two-phase method enhances accuracy in heart image analysis.

Researchers enhance fetal ultrasound accuracy using synthetic images and machine learning.

This study enhances ultrasound fetal head measurement using deep learning techniques.

New automated techniques enhance thyroid disease diagnosis accuracy and speed.

A new method improves task management in UAV-assisted smart farms.

Methods for accurate source localization considering mutual coupling effects.

New methods combine camera data with GPS for enhanced location accuracy.

BD-RIS technology aims to improve wireless communication performance.

New techniques improve depth estimation in challenging conditions using single-photon LiDAR.

A new method improves activity recognition using wearable sensors and AI.

A new module enhances semantic communication in MIMO systems, improving data transmission quality.

Learn how new systems improve communication reliability and user satisfaction.

A look at stability strategies in DC microgrids.

A practical approach to model droop-controlled converters for better performance analysis.

Analyzing entangled qubits and their role in quantum communications.

Airlines leverage machine learning for accurate cargo demand predictions.

A novel approach using deep reinforcement learning improves control of quantum systems.

Combining adaptive control with meta-learning improves system performance under uncertainty.

New tactics improve capture rates of evaders in multi-pursuer scenarios.

This article explores how robots reach consensus under fuel constraints.