A rigorous comparative study evaluated deep nonnegative matrix factorization and autoencoder architectures for blind hyperspectral unmixing across benchmark collections and ...
Agricultural researchers in China demonstrated an order-aware spectral neural network that screens soil selenium categories in wheat plots using proximal ...
Researchers paired hyperspectral imaging with a hybrid deep learning model to identify early ring rot stages and predict chlorophyll-related SPAD ...
A critical review evaluates remote sensing, robotic recovery, automated sorting, and mechanical recycling technologies tackling marine plastic pollution across Europe.
Researchers have developed pylibs-stats, an open-source Python library that analyzes per-pixel feature distributions in laser-induced breakdown spectroscopy imaging to characterize ...
A scientific review evaluates the physical kinetics, biochemical mechanisms, and potential ferroptosis inhibition of liquid nitrogen quick-freezing across diverse aquatic ...
A systematic review of 234 studies reveals that machine learning enhances food safety and supply chain efficiency while facing reproducibility, ...
Researchers evaluated an artificial intelligence framework combining hyperspectral imaging and infrared spectroscopy to accurately identify expired medicines across six pharmaceutical ...
Agricultural researchers in the Netherlands deployed an autonomous ground robot combining visible, near-infrared, and short-wave infrared hyperspectral cameras under controlled ...
A scientific review details how advanced spectroscopic detection technologies and machine learning algorithms enable non-destructive quality evaluation, nutrient profiling, and ...
Researchers combined hyperspectral imaging with explainable machine learning to accurately identify authentic Rubia cordifolia medicinal roots and trace their geographical ...
A new review maps how nondestructive testing paired with artificial intelligence, big data analytics, digital twins and computational pharmacology could ...
Researchers demonstrated that visible and near-infrared hyperspectral imaging combined with artificial neural networks classifies ethanol concentrations in biodiesel-ethanol-diesel fuel blends ...
Researchers developed a deep learning-empowered metasurface sensor that achieves real-time hyperspectral and full-Stokes polarimetric imaging across 167 spectral channels.
Researchers have developed a real-time robotic sorting framework that models waste management as an orienteering problem with time windows to ...
A scoping review of 59 studies finds imaging-based phenotyping of leafy greens excels at observation but rarely translates into operational ...
A four-stage hybrid framework combining convolutional spectral compression, a Transformer encoder, and U-Net spatial extraction reports 99.85% overall accuracy on ...
Food safety monitoring has a data problem that has little to do with how much data exists.
A simulation-only study proposes a quantum-enhanced swarm robotics framework that pairs NV-center magnetometers with Bayesian sensor fusion to detect landmines.
A systematic review finds deep learning exceeds 97 percent accuracy on remote sensing benchmarks but struggles with generalization, spectral exploitation ...
