Machine Learning Spots Toxic Dye in Henna With Light Alone
Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic para-phenylenediamine adulteration in henna non-destructively.
Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic para-phenylenediamine adulteration in henna non-destructively.
Researchers have combined artificial neural networks with genetic algorithms to model and optimize multistage palm oil fractional crystallization, achieving prediction ...
Researchers combined an artificial neural network surrogate model with an enhanced NSGA-III algorithm to optimize a 20-tonne wave compensation Stewart ...
A new study combining Landsat imagery and neural network modeling shows that Fiche Town in central Ethiopia more than doubled ...
Researchers converted sugarcane bagasse into a low-temperature activated carbon that removes over 99 percent of toxic Cr(VI) and Co(II) from ...
A new study combines neural network analysis of aeromagnetic derivatives with 3D magnetic inversion to map hidden fault corridors and ...
Researchers paired graphene and cellulose nanoparticles with a genetic-algorithm-optimized neural network to predict hybrid nanofluid performance, achieving a 52.77 percent ...
A new hydrogeophysical study in southeastern Nigeria found that multivariate linear regression far outperformed an artificial neural network in predicting ...
Researchers combined MATLAB boundary-value simulations with a Levenberg-Marquardt neural network to model magnetized Casson-micropolar nanofluid flow with bioconvection, achieving near-perfect ...
A chemically doped two-dimensional tungsten diselenide synapse that senses light, stores memory and powers a 92 percent accurate neural network ...
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© 2025 Scienmag - Science Magazine