AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Fractal geometry investigates complex shapes that exhibit self-similarity across multiple scales, while spectral analysis focuses on the study of the eigenvalues and eigenfunctions of operators, most ...

ANDOVER, Mass.--(BUSINESS WIRE)--SciAps Inc., a leader in handheld and portable analytical instruments, announces the continued evolution of the FieldSpec, TerraSpec, and LabSpec product ...

Users can even take their analysis a step further by sending spectra to Wiley’s KnowItAll software* to search against spectral libraries for further investigation. Graeme Whitley, Director of Data ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra. As reported in ACS Nano, the algorithm could ...

Liquid electrolytes have an important role in battery performance and longevity. The electrolyte fluid in lithium-ion batteries enables effective intercalation of lithium ions between the electrodes.

1. Difference Equations -- 2. Lag Operators -- 3. Stationary ARMA Processes -- 4. Forecasting -- 5. Maximum Likelihood Estimation -- 6. Spectral Analysis -- 7 ...

Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, and an Operating Company of Danaher Corporation, revolutionizes spectral flow cytometry with the industry’s ...