Electrical Engineering and Systems Science

A study reveals how different music genres activate distinct brain areas.

Essential rules for submitting papers to NeurIPS 2024.

This study evaluates solo piano performances using audio analysis methods.

XLSR-Transducer model excels in real-time transcription with minimal data.

This article discusses enhancing MUSIC with approximate computing for better performance.

A new system improves multi-instrument music transcription accuracy and efficiency.

A new model improves accuracy in speech-to-text capabilities across multiple languages.

Advancements in predicting speech quality using efficient methods for mobile devices.

A new method improves tissue analysis for better cancer diagnosis.

A new dataset improves satellite image analysis for remote sensing research.

AI technologies are transforming the approach to diagnosing colorectal cancer effectively.

This study enhances U-Net for accurate retinal blood vessel analysis.

A novel approach improves airway identification in lung CT scans using limited data.

Evaluating deep learning models for better hyperspectral image segmentation.

A new model enhances consistency and clarity in carotid ultrasound imaging.

Researchers use MRI and machine learning to locate original tumors in brain metastases.

This study focuses on OTA computing to improve device communication in networks.

This study highlights the importance of antenna arrangements for efficient wireless communication.

Improving power and spectral efficiency in MIMO systems with low-resolution ADCs.

A method to enhance timbre in music production through synthesizers.

A new method for locating users indoors with fixed reflection points.

Learn how power meters impact cycling performance and training methods.

Examining quantization techniques for better distributed learning across various network structures.

New solutions enhance wireless communication through efficient spectrum sharing.

Learn how drones can safely navigate while avoiding obstacles.

A look into hosting capacity and dynamic operating envelopes in renewable energy.

Examine the role of hybrid multi-rate control systems in modern engineering.

EAGERx enhances robot learning by connecting simulations to real-world tasks.

Examining quantization techniques for better distributed learning across various network structures.

A new method for battery management using real performance data.

A method for agents to work together to improve data estimates.

Introducing a method for robots to navigate safely using control density functions.