Electrical Engineering and Systems Science

A new approach enhances audio classification with less labeled data.

New dataset tackles real-world challenges in active speaker detection technology.

A new metric enhances ASR performance evaluation for medical transcription accuracy.

A new method enhances Automatic Speech Recognition against adversarial challenges.

This article discusses the need for clearer speech signals in technology.

This study highlights using deep learning to identify heart murmurs from phonocardiograms.

This study focuses on enhancing intent classification through speech improvement techniques.

This study examines how training techniques affect speech model performance.

Study examines iris recognition accuracy in children over 6.5 years.

New method improves machine learning models using approximately-paired simulated images.

A new model improves diffusion MRI clarity and speed.

New technologies enhance the detection of Fusarium head blight in wheat.

New dataset tackles real-world challenges in active speaker detection technology.

This article explores using active learning for improved tissue segmentation in bladder cancer diagnostics.

A new method enhances blood vessel images from MRA data for better diagnostics.

A novel approach to classify malaria cells using deep learning.

Exploring the role of synthetic data in improving EEG-based technologies.

This study focuses on improving the movement of Mobile Access Points using AI.

CE-OFDM technology improves radar and communication systems with constant signal envelopes.

This article explores methods for analyzing signals from sensitive cryogenic detectors in scientific experiments.

New methods improve early detection of cardiovascular diseases through ECG analysis.

This study focuses on reducing noise from footstep vibration signals for accurate analysis.

A new method enhances uncertainty estimation in neural network classifiers.

Explore how federated decision-making enhances privacy while allowing collective intelligence.

Strategies to estimate measurements while facing denial-of-service attacks.

This article discusses adaptive modeling techniques for Cyber-Physical Systems using Validity Frames.

This article discusses creating networks that balance controllability and robustness.

Researchers enhance robot performance in insertion tasks using compliance and contact formations.

A look into state estimation and its application in control systems.

Examining how systems maintain stability in defined time frames.

New method improves renewable energy use and grid reliability.

Monte Carlo techniques simplify decision-making in dynamic programming, addressing high-dimensional problems.