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silvia.serranti@uniroma1.it
Silvia Serranti
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA CHIMICA, MATERIALI, AMBIENTE
E-mail:
silvia.serranti@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Classification of post-earthquake building waste through Hyperspectral imaging approach
Proceedings CORFU2022
2022
Hyperspectral imaging applied to the recognition of contaminants in post-earthquake building waste stream
WHISPERS_2022
2022
Discriminating the petrography of CDW via rapid spectroscopic tool
S15. Mineralogy and waste: circular economy for a sustainable future
2022
Hyperspectral data fusion-based classification of post-consumer plastic packaging
Colloquium Spectroscopicum Internationale XLII (CSI XLII) 2022
2022
HYPERSPECTRAL IMAGING ANALYSIS COMBINED WITH HIERARCHICAL MODELING AND VARIABLES SELECTION FOR PLASTIC WASTE RECOGNITION BY POLYMER AND COLOR
Symposium on short wave infrared imaging and spectroscopy - SWIImS
2022
Investigation on the use of laser-induced fluorescence for the recycling of black plastics
9th International Conference on Sustainable Solid Waste Management
2022
End-of-life textile recognition in a circular economy perspective. A methodological approach based on near infrared spectroscopy
SUSTAINABILITY
2022
An exploratory study on monitoring tomato plant growth by near infrared portable devices
CAC 2022 18th Chemometrics in Analytical Chemistry Conference - Book of abstract
2022
An investigation on bromine content assessment in e-Waste Plastics by Short Wave Infrared (SWIR) spectroscopy
ENVIRONMENTS
2022
Soft wheat flour quality parameters assessment by Near Infrared Spectroscopy (NIR): from laboratory to shelf
ChoPS2022 10th International Conference on Conveying and Handling of Particulate Solids - Book of abstracts
2022
Chrysotile detection in soils with proximal hyperspectral sensing and chemometrics
12th Workshop on hyperspectral imaging and signal processing: evolution in remote sensing (WHISPERS)
2022
Classifying and managing asbestos containing waste: Italian experience
The 3rd World Conference on Waste Management 2022 (WCWM 2022) – challenges and practices on waste management and covid 19 post pandemic
2022
Detection of asbestos containing material in post-earthquake building waste through hyperspectral imaging and micro-x-ray fluorescence
DETRITUS
2022
Arsenic accumulation in Pteris vittata: time course, distribution, and arsenic-related gene expression in fronds and whole plantlets
ENVIRONMENTAL POLLUTION
2022
Asbestos detection in construction and demolition waste adopting different classification approaches based on short wave infrared hyperspectral imaging
DETRITUS
2022
A green approach based on micro-X-ray fluorescence for arsenic, micro- and macronutrients detection in pteris vittata
WATER
2022
MICROPLASTICS IDENTIFICATION IN LANDFILL LEACHATES BY DIFFERENT SPECTROSCOPIC TECHNIQUES
DETRITUS
2022
Phytoextraction efficiency of Pteris vittata grown on a naturally As-rich soil and characterization of As-resistant rhizosphere bacteria
SCIENTIFIC REPORTS
2021
A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products
DATA IN BRIEF
2021
Hazelnuts classification by hyperspectral imaging coupled with variable selection methods
Sensing for Agriculture and Food Quality and Safety XIII
2021
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Progetti di Ricerca
PAN&TILT HYPERSPECTRAL SCANNER per l'analisi di oggetti o scene di interesse indoor/outdoor in diversi ambiti di ricerca applicata: ambiente, sicurezza, salute, beni culturali, agricoltura di precisione, materiali, analisi forensi
Sviluppo di una metodologia innovativa per il riciclo delle plastiche contenenti ritardanti di fiamma bromurati
Riconoscimento e classificazione di fibre di amianto in manufatti ad uso civile e industriale in opera e dismessi
Caratterizzazione orientata al riciclo di circuiti stampati provenienti da scarti di apparecchiature elettriche ed elettroniche mediante analisi in microfluorescenza a raggi X e analisi d'immagine iperspettrale
Applicazione di tecniche di hyperspectral imaging in campo agro-alimentare per il controllo di qualità dei prodotti
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