Giuseppe Capobianco

基本信息

浏览量：11

职业迁徙

个人简介

Giuseppe Capobianco currently works at the Department of Chemical Materials, Environmental Engineering DICMA, Sapienza University of Rome. Giuseppe does research in Chemical Engineering, Mineralogy and Archaeology.

研究兴趣

论文共 71 篇作者统计合作学者相似作者

按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选

Short-Wave Infrared Spectroscopy for On-Site Discrimination of Hazardous Mineral Fibers Using Machine Learning Techniques

Giuseppe Bonifazi, Sergio Bellagamba,Giuseppe Capobianco,Riccardo Gasbarrone, Ivano Lonigro, Sergio Malinconico,Federica Paglietti, Silvia Serranti

Sustainabilityno. 3 (2025): 972

引用0浏览0引用

Contaminant Detection in Flexible Polypropylene Packaging Waste Using Hyperspectral Imaging and Machine Learning

Giuseppe Bonifazi,Giuseppe Capobianco,Paola Cucuzza, Silvia Serranti

Waste management (New York, NY) (2025): 264-274

引用0浏览0WOS引用

Biopatinas on Peperino Stone: Three Eco-Friendly Methods for Their Control and Multi-Technique Approach to Evaluate Their Efficacy

Daniela Isola,Giuseppe Capobianco, Valery Tovazzi,Claudia Pelosi,Oriana Trotta,Silvia Serranti,Luca Lanteri,Laura Zucconi, Valeria Spizzichino

Microorganismsno. 2 (2025)

引用0浏览0WOS引用

Phytoremediation of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS): Insights on Plant Uptake, Omics Analysis, Contaminant Detection and Biomass Disposal

Davide Marzi, Francesco Valente, Sophia Luche, Cristina Caissutti, Andrea Sabia, Ilaria Capitani,Giuseppe Capobianco, Silvia Serranti, Antonio Masi,Anna Panozzo, Ada Ricci, Pranay Kumar Bolla,Teofilo Vamerali,Patrizia Brunetti,Giovanna Visioli

Science of The Total Environment (2025): 178323

引用0浏览0WOS引用

Efficient Microplastic Identification by Hyperspectral Imaging: A Comparative Study of Spatial Resolutions, Spectral Ranges and Classification Models to Define an Optimal Analytical Protocol

Silvia Serranti,Giuseppe Capobianco,Paola Cucuzza,Giuseppe Bonifazi

SCIENCE OF THE TOTAL ENVIRONMENT (2024)

引用0浏览0WOS引用

Methodological Approach for the Automatic Discrimination of Pictorial Materials Using Fused Hyperspectral Imaging Data from the Visible to Mid-Infrared Range Coupled with Machine Learning Methods