Electrical Engineering and Systems Science

Graph neural networks improve speaker recognition accuracy by analyzing voice sample relationships.

A study evaluating emotion recognition in speech models across six languages.

AffectEcho model enhances emotional expression in AI-generated speech.

This study enhances G2P models by focusing on error-prone areas during training.

Discover methods that improve accuracy in formant tracking for speech analysis.

Researchers develop speech-based methods for more accurate Parkinson's disease assessment.

Meta-SELD enhances sound event localization in diverse environments.

AVMIT offers researchers insights into how sound and vision relate in action recognition.

New neural network method improves roughness estimation in SAR images.

A new method improves image analysis and highlights uncertainty in medical imaging.

Study explores new methods for predicting cancer return in head and neck cases.

A new method improves retinal image generation and segmentation for medical diagnostics.

A new model improves brain imaging and structure analysis.

A new method to compress images while preserving essential details.

DCTransformer enhances JPEG image quality lost during compression.

A fresh approach enhances 3D heart imaging from 2D scans.

A new system improves avatar movement accuracy and resource management in virtual worlds.

New technologies aim to improve wireless communication through Intelligent Reflecting Surfaces and Full Duplex systems.

A new deep learning method enhances vibration data analysis for safer infrastructure.

Exploring gesture recognition to improve smartphone interaction through motion sensors.

Exploring effective methods to manage sensors for target tracking amidst uncertainty.

A new method enhances emotional state detection in machine learning models.

JCAS merges communication and radar for enhanced mobile network performance.

Exploring ISAC's role in advancing wireless networks and machine learning applications.

New techniques improve power flow learning for efficient electricity delivery.

A new framework for assessing the stability of differential-algebraic systems under uncertainty.

Exploring how transformers adapt to predict outputs in unknown systems.

This research enhances methods for identifying parameters in ordinary differential equation models.

This article discusses self-healing distributed optimization for effective network resilience.

A new model enhances predictions for magnetic hysteresis in materials.

A new filtering method improves state estimation under challenging noise conditions.

Learn the process of creating models for dynamic systems using measured data.