Attention-Powered AI Reads Brain Waves to Spot Seizures With 98.8% Accuracy
A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...
Tag: Signal Processing
Simple Armband Reads Hand Gestures With Surgical Precision
Researchers in New Delhi have built a wireless force myography armband that classifies twenty hand gestures with over 96 percent ...
Wolf-Inspired AI Tuning Pushes Speech Emotion Recognition Across Languages and Labs
Researchers combined reconstructed phase space representations, a 3D convolutional neural network, and gray wolf optimizer tuning to achieve state-of-the-art cross-corpus ...
AI Learns to Spot Seizures in Strangers: New EEG Model Generalizes Across Patients
Researchers have built a lightweight AI system that detects epileptic seizures in EEG recordings from patients it has never seen, ...
When NMR Signals Won’t Sit Still: Simulations Test Fourier, Wavelets, and Direct Fitting
A new simulation study compares Fourier, wavelet, and direct time-domain fitting methods for analyzing short and non-stationary NMR signals, revealing ...
Wavelet-Guided Diffusion Model Sharpens Urban Traffic Flow Forecasts
Researchers at Linyi University have combined wavelet decomposition with denoising diffusion models to forecast urban traffic flow more accurately across ...
Fake Variables With Real Guarantees: Knockoffs Bring Statistical Certainty to Compressive Sensing
A new framework called KnockoffCS integrates knockoff-based false discovery rate control into compressive sensing, delivering statistically guaranteed support recovery and ...
Deep Learning Meets Fractal Math: New Audio Watermarking System Hits 97% Accuracy
Researchers in India have unveiled an audio watermarking system that combines non-overlapping segmentation, wavelet-domain optimization, fractal-based encryption, and a custom ...
Faster Reliable EKG Signals in Fetal Resuscitations
In a remarkable leap forward for neonatal care, researchers have unveiled a pioneering approach aimed at dramatically reducing the time ...
Two UVA Electrical and Computer Engineering Professors Recognized as IEEE Distinguished Lecturers
Professors Scott Acton and Mathews Jacob, esteemed faculty members from the University of Virginia’s Charles L. Brown Department of Electrical ...
