RAMAN SPECTRAL PATTERN RECOGNITION OF BREAST CANCER: A MACHINE LEARNING STRATEGY BASED ON FEATURE FUSION AND ADAPTIVE HYPERPARAMETER OPTIMIZATION

Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization

Raman spectroscopy, as a kind of molecular vibration spectroscopy, provides abundant information for measuring components Rice Protein and molecular structure in the early detection and diagnosis of breast cancer.Currently, portable Raman spectrometers have simplified and made equipment application more affordable, albeit at the cost of sacrificing

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A review of iron-tungstate nanomaterials: Synthesis methods, physicochemical properties, environmental fate and application for wastewater treatment

The effective treatment of wastewater to mitigate environmental pollution remains a critical concern in modern society.This FERM PROTEIN CHOCO review examines the synthesis methods, physicochemical properties, and different application of ferric tungstate (FeWO4) as advanced multifunctional nanomaterial for wastewater treatment.The removal of vario

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