Electrical Engineering and Systems Science

A new model tackles biases and improves stock price predictions using diverse data.

This article presents a method to generate accurate sound from videos and text.

A new model enhances the simulation of string instruments for realistic sound.

Introducing a method for better control in speech editing.

A study on classifying music by its era using audio features and artist insights.

A new model enhances the study of animal communication using raw audio data.

Emilia provides a diverse dataset for improving speech generation models.

A new system improves signal processing efficiency through innovative encoding methods.

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

A new method enhances accuracy in diagnosing diseases from chest X-rays.

A new approach improves left atrium segmentation, overcoming challenges of random cropping.

New model improves accuracy in classifying retinal diseases.

New method enhances synthetic ultrasound images using tailored noise scheduling.

A new method enhances medical image segmentation using available text records.

CLAMP-ViT offers a new way to compress vision transformers using synthetic data.

New framework improves genetic biomarker prediction in colorectal cancer using whole slide images.

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.

Using UAVs to monitor and track wildfires effectively.

Examining how drones can improve communication networks in limited energy environments.

A new model enhances the simulation of string instruments for realistic sound.

A new system improves signal processing efficiency through innovative encoding methods.

New radar technology monitors heart rate during sleep and meditation without discomfort.

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

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

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

Robots influenced by nature offer new possibilities in adaptability and performance.

Evaluating the impact of decentralized strategies on epidemic control and public opinion.

A new approach to improve Q-learning in continuous environments through symbolic models.

A new approach for agents to minimize difficult non-smooth functions together.

Innovative model improves decision-making in dynamic data systems.