Electrical Engineering and Systems Science

AffectMachine-Classical generates real-time classical music to help manage emotions.

This study examines how different TTS systems improve S2ST model performance.

Research reveals how backchannels enhance machine communication.

Research reveals new ways to manipulate sound using neural networks for music production.

Research uses dubbed films to enhance connection between sight and sound in machine learning.

Introducing absement, a method to measure speech sounds dynamically over time.

A new approach to accurately transcribing singing notes and lyrics using technology.

Hierarchical Cross Attention Model improves emotional understanding in diverse communication forms.

A study compares new brain extraction methods for improved image analysis.

A real-time monitoring system improves worker comfort and safety during robot collaboration.

New method enhances MRI image quality using deep learning techniques.

Researchers use GANs to create realistic fetal ultrasound images, addressing data shortages.

New methods use deep learning for rapid parasite detection in contaminated food and water.

A new method enhances image clarity and assesses quality after cloud removal.

Automatic guidance enhances ultrasound imaging quality for fetal monitoring.

Techniques to enhance low-dose CT images for better medical diagnosis.

This model predicts future data using real-time analysis without extensive historical data.

A new method improves channel estimation in RIS-assisted wireless networks.

Agents work together to detect signals amidst changing noise.

This paper explores the integration of radar and communication systems without interference.

A new algorithm improves communication for many connected devices in IoT.

A new framework improves autoregressive modeling for analyzing uncertain time series data.

Learn how to model and observe agent behavior through their measurements.

Reliable communication between vehicles can enhance road safety and prevent accidents.

Discover the basics of Quantum Von Neumann Architecture and its generations.

New methods improve force control in robots using deep reinforcement learning.

Strategies to cut cooling energy use in data centers for better efficiency.

Research explores computer models for effective pandemic interventions.

This paper discusses efficient exploration methods in reinforcement learning without prior reward knowledge.

Exploring the security needs of O-RAN in a growing connected world.

Exploring how robots can work together in uncertain conditions.

A new approach to safe reinforcement learning improves decision-making in complex systems.