Electrical Engineering and Systems Science

A new method improves accuracy in recognizing speech from multiple speakers.

Acoustic BPE improves speech intelligibility and quality in TTS systems.

A new method improves speech clarity in noisy environments using dual neural networks.

New method improves ASR systems' handling of various accents through specialized codebooks.

New methods improve accuracy and efficiency in speech recognition systems.

A new method improves sound localization in varied environments by focusing on continuous learning.

A new method enhances sound event detection by integrating new audio classes effectively.

WildDESED improves sound detection systems in noisy home environments.

New AI model improves tumor segmentation and diagnosis in lung cancer.

A method for compressing images while ensuring their security during transmission.

LeDNet enhances chest X-ray analysis for better lung disease classification.

MORPHADE provides innovative brain analysis for improved Alzheimer's detection.

A new method improves medical image analysis while preserving critical details.

A new method improves tissue analysis for better cancer diagnosis.

A new dataset improves satellite image analysis for remote sensing research.

AI technologies are transforming the approach to diagnosing colorectal cancer effectively.

Discover the flexibility and potential of conformal phased array antennas.

This study focuses on OTA computing to improve device communication in networks.

This study highlights the importance of antenna arrangements for efficient wireless communication.

Improving power and spectral efficiency in MIMO systems with low-resolution ADCs.

A method to enhance timbre in music production through synthesizers.

A new method for locating users indoors with fixed reflection points.

Learn how power meters impact cycling performance and training methods.

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

Introducing a method for robots to navigate safely without detailed maps.

This paper presents a new design for controllers that adapt to uncertainties in control systems.

Efficient controller design for uncertain systems using abstraction techniques.

A new framework enhances C/C++ code compatibility for hardware synthesis.

BasisN addresses RRAM challenges for faster, energy-efficient deep neural network computations.

Learn how drones can safely navigate while avoiding obstacles.

A look into hosting capacity and dynamic operating envelopes in renewable energy.

Examine the role of hybrid multi-rate control systems in modern engineering.