Electrical Engineering and Systems Science

Graphs allow for new insights into music structure and relationships.

MuPT utilizes ABC notation for effective music generation with AI.

New methods improve audio representation through self-supervised learning techniques.

PEAVS analyzes how well audio and video work together for better viewer experiences.

A method using AI enhances sound representation in various environments.

Explore the role of spectral moments in reverberation chamber testing and the impact of noise.

A new system for accurate and lightweight real-time piano transcription.

A new framework enhances AI's grasp of 3D spaces.

Exploring influence-based explainability in AI for brain tumor imaging.

A method combining hyperspectral and LiDAR data enhances land cover classification accuracy.

A novel method for estimating virtual FFR using deep learning techniques.

LHU-Net improves accuracy and efficiency in medical image segmentation, aiding healthcare professionals.

SuRGe improves low-resolution images using advanced GAN techniques.

This study examines bias in Continual Learning models for medical imaging.

A new method enhances image clarity through scattered materials using learned light patterns.

This article highlights methods for assessing student participation using video analysis.

Research enhances methods for extracting frequencies from noisy signals.

Exploring a new design for high-speed internet using laser technology indoors.

New methods improve graph communication and node distinction in GNNs.

A new system offers real-time monitoring and better forecasts for solar power generation.

Researchers enhance signal detection in noisy environments using Expectation Propagation techniques.

Machine learning offers solutions for accurate seizure detection, improving patient outcomes.

DeepJSCC improves image quality in relay networks, integrating transmission with deep learning.

Research explores machine learning's role in finding coronary artery blockages.

This article discusses online learning algorithms for evolving data scenarios.

A new system offers real-time monitoring and better forecasts for solar power generation.

Exploring the importance and methods of recovery in cyber-physical systems after cyber attacks.

SINDy-RL improves efficiency and interpretability in control systems using sparse dictionary learning.

A new method enhances the accuracy of the LinDistFlow model in power systems.

A look at how smart systems improve energy management during outages.

This paper explores ways to minimize unnecessary driver interventions in automated vehicles.

Optimizing tower crane movements to enhance safety and reduce energy use.