New method separates brain signals to show how complex actions are organized

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...
IEEE

Fast Wideband Analysis of Reverberation Chambers Using Hybrid Discrete Singular Convolution-Method of Moments and Adaptive Frequency Sampling

Abstract: This paper reports a fast and wideband analysis of reverberation chambers (RCs) by combining hybrid discrete singular convolution (DSC)-method of moments (MoM) with an adaptive frequency ...
ZME Science

A New AI System Can Hear Earthquake Signals Other Methods Miss

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
FinanceFeeds

Crypto Forecasting Methods Every Investor Should Know

Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

A New Way To See Life’s Hidden Chemistry: $10 Spectrometer Could Turn Wearables Into Personal Health Labs

Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...
IEEE

Convolution Type of Metaplectic Cohen’s Distribution Time-Frequency Analysis Theory, Method and Technology

Abstract: The conventional Cohen’s distribution can’t meet the requirement of additive noises jamming signals high-performance denoising under the condition of low signal-to-noise ratio, it is ...
ahajournals.org

Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
Frontiers

Depthwise separable convolution Unet for 3D seismic data interpolation

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...