Electrical Engineering and Systems Science

MelodyT5 offers a new approach to music creation and analysis using symbolic notation.

GTZAN-synth dataset leverages synthetic music for better music tagging systems.

MelodyLM simplifies music creation using text and voice inputs.

SAVE model enhances audio-visual segmentation with efficiency and precision.

New model improves speech-to-text translation using large language models.

Research presents a model linking sound recordings to mouth movements for speech.

This article discusses how Wav2Vec2.0 processes speech sounds using phonology.

Improving speaker anonymization technology for nine languages to ensure privacy.

New method promises efficient data erasure while preserving model performance.

A study examines diffusion models and their effectiveness with Gaussian data.

SparseSSP reduces imaging needs for cell studies, enhancing speed and cost-efficiency.

New approach enhances phase imaging accuracy and efficiency in clinical settings.

HoloHisto enhances segmentation of high-resolution tissue images for better analysis.

A new algorithm improves image quality using diffusion models and MCMC.

New model combines brain scans and genetic data for Alzheimer's diagnosis.

New method improves MRI image quality by addressing motion issues.

Innovative approaches improve state and parameter estimation in changing systems.

6G networks promise faster connections through advanced technologies like ISAC.

A study showcases PPG technology for effective real-time blood pressure monitoring.

Using neural networks on FPGAs to enhance high-speed communication reliability.

A look at how F-RANs improve communication efficiency and timeliness.

A look at how prediction-powered inference enhances model performance in wireless technology.

VCHAR improves recognition of complex human activities using innovative visual methods.

New framework effectively identifies power overloading attacks in smart grid systems.

Learn how controlled invariants maintain safety in various continuous-time systems.

Innovative approaches improve state and parameter estimation in changing systems.

Addressing pollution and investment challenges in the shift to renewable energy.

A method to enhance system efficiency without detailed knowledge.

New neural operators improve accuracy in predicting magnetic material behavior.

A system called TieBot helps robots learn to knot ties using simulations.

Exploring how game theory can help manage disease spread and protection measures.

This article examines feedback control methods for efficient tank-liquid management.