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About the database ScholarIQanswers from OpenAlex & ORCID
How has Emanuele Frontoni's publication output changed over time?
ScholarIQpublication output · 2009–2024
Output grew0% over the shown period — from 1 works in 2009 to 1 in 2024.
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20092018201920202021202220232024
What are the most-cited papers on Emanuele Frontoni?
ScholarIQmost cited works
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Mafkereseb Kassahun Bekele, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, James Gain
Journal on Computing and Cultural Heritage. 20181,030 Citations
Machine Learning approach for Predictive Maintenance in Industry 4.0
Marina Paolanti, Luca Romeo, Andrea Felicetti, Adriano Mancini, Emanuele Frontoni, Jelena Loncarski
2018284 Citations
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Roberto Pierdicca, Marina Paolanti, Francesca Matrone, Massimo Martini, Christian Morbidoni, Eva Savina Malinverni, Emanuele Frontoni, Andrea Maria Lingua
S43295729. 2020282 CitationsOPEN ACCESS
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, F. Tonetto, Paolo Viti, Adriano Mancini, Emanuele Frontoni
Journal of Intelligent Manufacturing. 2022238 CitationsOPEN ACCESS
A Vision-Based Guidance System for UAV Navigation and Safe Landing using Natural Landmarks
Andrea Cesetti, Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, Sauro Longhi
S91329792. 2009219 Citations
Related on ScholarIQ
Marche Polytechnic University
Institution
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Paper
Machine Learning approach for Predictive Maintenance in Industry 4.0
Paper
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Paper
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Paper
A Vision-Based Guidance System for UAV Navigation and Safe Landing using Natural Landmarks
Paper