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Manilo Monaco
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Journal Articles
- 2021
- [j1]Mario G. C. A. Cimino, Domenico Minici, Manilo Monaco, Stefano Petrocchi, Gigliola Vaglini:
A hyper-heuristic methodology for coordinating swarms of robots in target search. Comput. Electr. Eng. 95: 107420 (2021)
Conference and Workshop Papers
- 2024
- [c8]Manilo Monaco, Angela Sileo, Diana Orlandi, Maria Libera Battagliere, Laura Candela, Mario G. C. A. Cimino, Gaetano Alessandro Vivaldi, Vincenzo Giannico:
Semantic Segmentation of Crops via Hyperspectral PRISMA Satellite Images. GISTAM 2024: 187-194 - [c7]Giovanni Nico, Manilo Monaco, Olimpia Masci, Mario G. C. A. Cimino:
High Resolution Mapping of Vegetation Biodiversity by Hyperspectral Images and Convolutional Autoencoders. IGARSS 2024: 2247-2250 - [c6]Manilo Monaco, Giorgio A. Licciardi, Maria Libera Battagliere, Rocchina Guarini, Mario G. C. A. Cimino, Laura Candela:
A Machine-Learning Approach for Generating Synthetic Prisma Hyperspectral Images from Multispectral Data. IGARSS 2024: 3659-3662 - 2022
- [c5]Manilo Monaco, Giada Simionato, Mario G. C. A. Cimino, Gigliola Vaglini, Sabrina Senatore, Gaetano Caricato:
Using Artificial Immune System to Prioritize Swarm Strategies for Environmental Monitoring. CogSIMA 2022: 104-110 - 2021
- [c4]Manilo Monaco, Mario G. C. A. Cimino, Gigliola Vaglini, Francesco Fusai, Giovanni Nico:
Managing the Oceans Cleanup via Sea Current Analysis and Bio-Inspired Coordination of USV Swarms. IGARSS 2021: 8344-8347 - [c3]Manilo Monaco, Giovanni Nico, Pier Francesco Biagi, Anita Ermini, Aleksandra Nina, Mario G. C. A. Cimino, Gigliola Vaglini:
Using VLF Time Series from the INFREP Network for the Study of Pre-Seismic Radio Anomalies. IGARSS 2021: 8624-8627 - 2019
- [c2]Mario G. C. A. Cimino, Massimiliano Lega, Manilo Monaco, Gigliola Vaglini:
Adaptive Exploration of a UAVs Swarm for Distributed Targets Detection and Tracking. ICPRAM 2019: 837-844 - 2018
- [c1]Mario G. C. A. Cimino, Federico Dalla Bona, Pierfrancesco Foglia, Manilo Monaco, Cosimo Antonio Prete, Gigliola Vaglini:
Stock Price Forecasting Over Adaptive Timescale Using Supervised Learning and Receptive Fields. MIKE 2018: 279-288
Coauthor Index
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