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Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|January 17, 2025
Alkenyl pheromones: Raman spectroscopic analysis, DFT modeling, and machine learning for stereoisomerism evaluationIuliana Vasian, Camelia Berghian-GrosanJournal of Medicine and Life|October 19, 2020
The Spin of Electrons and the Proof for the Action of Homeopathic RemediesGeorge Vithoulkas, Camelia Berghian-GrosanTalanta|August 17, 2020
Raman spectroscopy and machine-learning for edible oils evaluationCamelia Berghian-Grosan, Dana Alina MagdasSpectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|February 9, 2023
Botanical honey recognition and quantitative mixture detection based on Raman spectroscopy and machine learningDana Alina Magdas, Camelia Berghian-GrosanScientific Reports|December 4, 2020
Application of Raman spectroscopy and Machine Learning algorithms for fruit distillates discriminationCamelia Berghian-Grosan, Dana Alina MagdasFoods (Basel, Switzerland)|April 15, 2025
Honey Differentiation Using Infrared and Raman Spectroscopy Analysis and the Employment of Machine-Learning-Based Authentication ModelsMaria David, Camelia Berghian-Grosan, Dana Alina MagdasTalanta|December 11, 2019
An optimized green preparation method for the successful application of Raman spectroscopy in honey studiesCsilla Muller Molnar, Camelia Berghian-Grosan, Dana Alina MagdasInternational Journal of Molecular Sciences|September 9, 2022
The Development of Honey Recognition Models Based on the Association between ATR-IR Spectroscopy and Advanced Statistical ToolsMaria David, Ariana Raluca Hategan, Camelia Berghian-Grosan, et al.Materials (Basel, Switzerland)|March 25, 2022
Combined Electrochemical, Raman Analysis and Machine Learning Assessments of the Inhibitive Properties of an 1,3,4-Oxadiazole-2-Thiol Derivative against Carbon Steel Corrosion in HCl SolutionSimona Varvara, Camelia Berghian-Grosan, Gianina Damian, et al.Food Chemistry: X|December 25, 2023
Geographical and varietal origin differentiation of alcoholic beverages through the association between FT-Raman spectroscopy and advanced data processing strategiesAriana Raluca Hategan, Maria David, Camelia Berghian-Grosan, et al.Pageof 2