Electrical Engineering and Systems Science

A self-supervised learning approach reduces the need for labeled audio data.

Study reveals voice data's role in recognizing emotions in Spanish speakers.

A new method improves speech clarity in loud environments.

Innovative approaches aim to improve music quality for those with hearing loss.

GenRep offers a novel approach to identifying unusual machine sounds with limited data.

TF-Mamba enhances sound localization using a novel approach integrating time and frequency data.

Research on modular ASR systems aims to improve performance in noisy environments.

A novel method combines meaning and sound for improved emotion detection in speech.

A new method and dataset for automated cell analysis in brain research.

HYDRA improves deep neural network efficiency for resource-limited edge devices.

Automated methods improve lumbar spine image analysis and diagnosis.

A new method enhances synthetic CT image quality using MRI data.

An overview of audio-visual speaker diarization methods, challenges, and systems.

Researchers develop methods to standardize blood cell images for better diagnoses.

Exploring new techniques for efficient image compression through neural network models.

A new technique enhances understanding of newborn brain fiber arrangements.

Introducing TRTC systems to address challenges in mobile communication technology.

Learn how Parseval operators enhance image processing in CNNs.

Learn how GNNs can better generalize to unseen data.

A method tackles missing data in interconnected systems using edge flow analysis.

New nano-antennas utilize unique materials for effective and compact radio wave transmission.

A new method enhances traffic classification in IoT networks using advanced techniques.

A new wearable vest offers quick screening for coronary artery disease.

This technology improves wireless networks by using many antennas across large areas.

This paper discusses automated methods for transforming complex nonlinear optimization models into linear forms.

Combining Behavioral Cloning and PPO enhances trajectory planning for self-driving cars.

A decentralized approach for efficient multi-robot coordination using task graphs.

Examining decision-making through logit learning empowers insights into cooperation and competition dynamics.

A new method to measure the performance of greedy algorithms in string optimization.

A new approach improves control of complex dynamic systems using fuzzy logic and Markovian models.

This article examines AI's growing energy needs and its implications for power systems.

A systematic method for identifying electricity distribution pathways enhances reliability and service quality.