A research team led by Prof. Gao Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has improved residual neural networks to accurately classify and identify microplastics using low-quality Raman spectra, even under non-ideal experimental conditions. A research team led by Prof. Gao Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has improved residual neural networks to accurately classify and identify microplastics using low-quality Raman spectra, even under non-ideal experimental conditions. Environment Phys.org – latest science and technology news stories
Neural networks and Raman spectroscopy identify microplastic invaders for a cleaner world
