Routing Drones Being Aware of Wind Conditions: a Case Study. - Lorenzo Palazzetti (DCOSS, 2021)

A run in the wind: favorable winds make the difference in drone delivery. - Lorenzo Palazzetti; Cristina M. Pinotti; Giulio Rigoni (DCOSS, 2021)

Cooperative Truck-Drone Scheduling Approach for Last-Mile Deliveries. - Francesco Betti Sorbelli; Federico Corò; Sajal K. Das 001; Lorenzo Palazzetti; Cristina M. Pinotti (ICTCS, 2021)

Optimal and Heuristic Algorithms for Data Collection by Using an Energy- and Storage-Constrained Drone. - Francesco Betti Sorbelli; Alfredo Navarra; Lorenzo Palazzetti; Cristina M. Pinotti; Giuseppe Prencipe (ALGOSENSORS, 2022)

Drone-based Optimal and Heuristic Orienteering Algorithms Towards Bug Detection in Orchards. - Francesco Betti Sorbelli; Federico Corò; Sajal K. Das 001; Lorenzo Palazzetti; Cristina M. Pinotti (DCOSS, 2022)

Greedy Algorithms for Scheduling Package Delivery with Multiple Drones. - Francesco Betti Sorbelli; Federico Corò; Sajal K. Das 001; Lorenzo Palazzetti; Cristina M. Pinotti (ICDCN, 2022)

A Drone-based Application for Scouting Halyomorpha halys Bugs in Orchards with Multifunctional Nets. - Francesco Betti Sorbelli; Federico Corò; Sajal K. Das 001; Emanuele Di Bella; Lara Maistrello; Lorenzo Palazzetti; Cristina M. Pinotti (PerCom Workshops, 2022)

On the Scheduling of Conflictual Deliveries in a last-mile delivery scenario with truck-carried drones. - Francesco Betti Sorbelli; Federico Corò; Sajal K. Das 001; Lorenzo Palazzetti; Cristina M. Pinotti (Pervasive Mob. Comput., 2022)

Technological Innovations in Agriculture for Scouting Halyomorpha Halys in Orchards. - Lennart Almstedt; Davide Baltieri; Francesco Betti Sorbelli; Davide Cattozzi; Daniele Giannetti; Amin Kargar; Lara Maistrello; Alfredo Navarra; David Niederprüm; Brendan O'Flynn; Lorenzo Palazzetti; Niccolò Patelli; et al. (DCOSS-IoT, 2023)

A Novel Multi-Layer Framework for BVLoS Drone Operation: A Preliminary Study. - Francesco Betti Sorbelli; Punyasha Chatterjee; Federico Coro; Lorenzo Palazzetti; Cristina M. Pinotti (INFOCOM Workshops, 2023)

Halyomorpha Halys Detection in Orchard from UAV Images Using Convolutional Neural Networks. - Alexandru Dinca; Dan Popescu 002; Cristina Maria Pinotti; Loretta Ichim; Lorenzo Palazzetti; Nicoleta Angelescu (IWANN (2), 2023)

How the Wind Can Be Leveraged for Saving Energy in a Truck-Drone Delivery System. - Francesco Betti Sorbelli; Federico Corò; Lorenzo Palazzetti; Cristina M. Pinotti; Giulio Rigoni (IEEE Trans. Intell. Transp. Syst., 2023)

YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones. - Francesco Betti Sorbelli; Lorenzo Palazzetti; Cristina M. Pinotti (Comput. Electron. Agric., 2023)

The hawk eye scan: Halyomorpha halys detection relying on aerial tele photos and neural networks. - Lorenzo Palazzetti; Aravind Krishnaswamy Rangarajan; Alexandru Dinca; Bas Boom; Dan Popescu 002; Peter Offermans; Cristina M. Pinotti (Comput. Electron. Agric., 2024)

Wireless IoT sensors data collection reward maximization by leveraging multiple energy- and storage-constrained UAVs. - Francesco Betti Sorbelli; Alfredo Navarra; Lorenzo Palazzetti; Cristina M. Pinotti; Giuseppe Prencipe (J. Comput. Syst. Sci., 2024)

Drone-Based Bug Detection in Orchards with Nets: A Novel Orienteering Approach. - Francesco Betti Sorbelli; Federico Corò; Sajal K. Das 001; Lorenzo Palazzetti; Cristina M. Pinotti (ACM Trans. Sens. Networks, 2024)

A Novel Graph-Based Multi-Layer Framework for Managing Drone BVLoS Operations. - Francesco Betti Sorbelli; Punyasha Chatterjee; Federico Corò; Sajjad Ghobadi; Lorenzo Palazzetti; Cristina M. Pinotti (IEEE Trans. Netw. Serv. Manag., 2024)