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Vincenzo Schiano Di Cola
Vincenzo Schiano Di Cola
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Scientific machine learning through physics–informed neural networks: Where we are and what’s next
S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli
Journal of Scientific Computing 92 (3), 88, 2022
6922022
The role of artificial intelligence in fighting the COVID-19 pandemic
F Piccialli, VS Di Cola, F Giampaolo, S Cuomo
Information Systems Frontiers 23 (6), 1467-1497, 2021
1152021
Decision making in IoT environment through unsupervised learning
F Piccialli, G Casolla, S Cuomo, F Giampaolo, VS Di Cola
IEEE Intelligent Systems 35 (1), 27-35, 2019
672019
Exploring unsupervised learning techniques for the Internet of Things
G Casolla, S Cuomo, VS Di Cola, F Piccialli
IEEE Transactions on Industrial Informatics 16 (4), 2621-2628, 2019
662019
A machine learning approach for IoT cultural data
F Piccialli, S Cuomo, VS Cola, G Casolla
Journal of Ambient Intelligence and Humanized Computing, 1-12, 2019
552019
A deep learning approach for path prediction in a location-based IoT system
F Piccialli, F Giampaolo, G Casolla, VS Di Cola, K Li
Pervasive and Mobile computing 66, 101210, 2020
172020
Scientific machine learning through physics-informed neural networks: Where we are and what’s next. arXiv
S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli
arXiv preprint arXiv:2201.05624, 2022
122022
Scientific machine learning through physics-informed neural networks: Where we are and what’s next. arXiv 2022
S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli
arXiv preprint arXiv:2201.05624, 0
12
A virtual assistant in cultural heritage scenarios
S Cuomo, G Colecchia, VS Di Cola, U Chirico
Concurrency and Computation: Practice and Experience 33 (3), e5331, 2021
112021
Path prediction in IoT systems through Markov Chain algorithm
F Piccialli, S Cuomo, F Giampaolo, G Casolla, VS Di Cola
Future Generation Computer Systems 109, 210-217, 2020
112020
Scientific machine learning through physics-informed neural networks: Where we are and what’s next (2022)
S Cuomo, VS Di Cola, F Giampaolo, G Rozza, M Raissi, F Piccialli
arXiv preprint arXiv:2201.05624, 0
6
Insight extraction from e-Health bookings by means of Hypergraph and Machine Learning
VS di Cola, D Chiaro, E Prezioso, S Izzo, F Giampaolo
IEEE Journal of Biomedical and Health Informatics, 2023
52023
Solving groundwater flow equation using physics-informed neural networks
S Cuomo, M De Rosa, F Giampaolo, S Izzo, VS Di Cola
Computers & Mathematics with Applications 145, 106-123, 2023
42023
Meshless methods for American option pricing through physics-informed neural networks
F Gatta, VS Di Cola, F Giampaolo, F Piccialli, S Cuomo
Engineering Analysis with Boundary Elements 151, 68-82, 2023
42023
Remarks on the numerical approximation of Dirac delta functions
VS Di Cola, S Cuomo, G Severino
Results in Applied Mathematics 12, 100200, 2021
42021
Unsupervised learning on multimedia data: a Cultural Heritage case study
F Piccialli, G Casolla, S Cuomo, F Giampaolo, E Prezioso, VS Di Cola
Multimedia tools and applications 79, 34429-34442, 2020
42020
Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques
V Schiano Di Cola, DML Mango, A Bottino, L Andolfo, S Cuomo
Frontiers in Applied Mathematics and Statistics 9, 1041750, 2023
12023
A machine learning-based approach for mercury detection in marine waters
F Piccialli, F Giampaolo, VS Di Cola, F Gatta, D Chiaro, E Prezioso, S Izzo, ...
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-10, 2022
12022
A Mathematical Formulation for Estimating Age Levels in the Carolina Curriculum
S Cuomo, A Olivo, P De Michele, F Piccialli, VS Di Cola, E Del Giudice
International Conference on Health Informatics 2, 260-267, 2015
12015
Multi-dimensional Dirac delta Approximations for Uncertainty Quantification in Singular Source term Flows
S Cuomo, VS Di Cola, G Severino
PROCEEDINGS OF SIMAI 2020+ 21, 2021
2021
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Artikelen 1–20