Electrical Engineering and Systems Science

A new method for understanding how audio models make predictions.

Introducing spatial voice conversion to enhance audio realism and immersion.

WavRx analyzes speech for health while protecting privacy, showing promising diagnostic results.

Research explores how speech analysis can predict suicide risk, considering gender differences.

This paper presents a system to create visuals that respond to music.

A new system helps robots learn tasks using audio from real-life demonstrations.

New methods improve accuracy in recognizing overlapping sounds across diverse audio sources.

A new method combines acoustic features and confidence scores for better error correction.

A new algorithm enhances the analysis of calcium imaging data in real-time.

Presenting potential solutions to complex imaging tasks with clarity.

SLOctolyzer automates retinal image analysis, aiding research in eye health.

LACPANet enhances kidney tumor analysis using multi-phase CT imaging.

Two robots improve maze navigation through shared learning experiences while maintaining data privacy.

New device uses fNIRS to reconstruct images from brain activity.

TRIP enhances machine visual recognition efficiency using event-based camera data.

A new network improves accuracy in cancer tumor segmentation from PET and CT images.

Discover how data-driven methods are changing measurements and modeling in metrology.

BD-RIS improves wireless signal quality and efficiency for modern communication systems.

A large-scale dataset enhances vehicle-to-vehicle communication research.

A novel method enhances data sharing for efficient GNN training.

New method enhances seizure detection in EEG data using machine learning.

AI models enhance ECG analysis for better heart health diagnostics.

Efficient methods for identifying drones using convolutional neural networks.

New methods improve communication and accuracy in decentralized learning systems.

Optimizing PEM electrolyzers for efficient hydrogen production and cost management.

New guidance scheme improves fuel efficiency in small satellite maneuvers.

A study on predicting electricity grid failures through deep reinforcement learning analysis.

Using topological data analysis for better monitoring of wind turbines.

Discovering efficient methods for semiconductor model parameter extraction.

This article examines the stability challenges of power grids using inverter-based technologies.

Exploring the impact of RPM on patient care and healthcare costs.

Innovative methods for managing the movement of small satellites in formation.