Optical sensing and geolocation enable on-site fecal coliform detection in water, avoiding slow laboratory analysis and supporting rapid risk checks.
Digital image colorimetry with neural-network processing speeds offshore fluid analysis and supports fouling prevention from real-time data.
Distributed grid-point and force calculations across memory devices and network switches cut communication overhead and shorten atomic force summation time.
Uses pH and conductivity with thermodynamic and regression models to rapidly estimate acid rain ion concentrations at lower cost.
A 1D CNN extracts spectral features from absorbance data to classify complex gas mixtures without prior species knowledge.
Root-node traversal replaces manual rules and graph matching to produce unique molecular fragment encodings with lower complexity.