| A matching theory framework for tasks offloading in fog computing for IoT systems F Chiti, R Fantacci, B Picano IEEE Internet of Things Journal 5 (6), 5089-5096, 2018 | 106 | 2018 |
| Remaining useful life estimation for prognostics of lithium-ion batteries based on recurrent neural network M Catelani, L Ciani, R Fantacci, G Patrizi, B Picano IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 97 | 2021 |
| Performance analysis of a delay constrained data offloading scheme in an integrated cloud-fog-edge computing system R Fantacci, B Picano IEEE Transactions on Vehicular Technology 69 (10), 12004-12014, 2020 | 53 | 2020 |
| Federated learning framework for mobile edge computing networks R Fantacci, B Picano CAAI Transactions on Intelligence Technology 5 (1), 15-21, 2020 | 48 | 2020 |
| Virtual functions placement with time constraints in fog computing: A matching theory perspective F Chiti, R Fantacci, F Paganelli, B Picano IEEE Transactions on Network and Service Management 16 (3), 980-989, 2019 | 38 | 2019 |
| When network slicing meets prospect theory: A service provider revenue maximization framework R Fantacci, B Picano IEEE Transactions on Vehicular Technology 69 (3), 3179-3189, 2020 | 34 | 2020 |
| A matching game with discard policy for virtual machines placement in hybrid cloud-edge architecture for industrial IoT systems R Fantacci, B Picano IEEE Transactions on Industrial Informatics 16 (11), 7046-7055, 2020 | 30 | 2020 |
| End-to-end delay bound for wireless uVR services over 6G terahertz communications R Fantacci, B Picano IEEE Internet of Things Journal 8 (23), 17090-17099, 2021 | 27 | 2021 |
| A matching game for tasks offloading in integrated edge‐fog computing systems F Chiti, R Fantacci, B Picano Transactions on Emerging Telecommunications Technologies 31 (2), e3718, 2020 | 20 | 2020 |
| Validation of RUL estimation method for battery prognostic under different fast-charging conditions G Patrizi, B Picano, M Catelani, R Fantacci, L Ciani 2022 IEEE International Instrumentation and Measurement Technology …, 2022 | 16 | 2022 |
| Aging and delay analysis based on Lyapunov optimization and martingale theory B Picano, R Fantacci, Z Han IEEE Transactions on Vehicular Technology 70 (8), 8216-8226, 2021 | 14 | 2021 |
| Nonlinear dynamic chaos theory framework for passenger demand forecasting in smart city B Picano, R Fantacci, Z Han IEEE Transactions on Vehicular Technology 68 (9), 8533-8545, 2019 | 13 | 2019 |
| A d2d-aided federated learning scheme with incentive mechanism in 6G networks R Fantacci, B Picano IEEE Access 11, 107-117, 2022 | 10 | 2022 |
| Human-in-the-loop virtual reality offloading scheme in wireless 6G Terahertz networks B Picano, R Fantacci Computer Networks 214, 109152, 2022 | 8 | 2022 |
| Martingale theory application to the delay analysis of a multi-hop aloha NOMA scheme in edge computing systems R Fantacci, T Pecorella, B Picano, L Pierucci IEEE/ACM Transactions on Networking 29 (6), 2834-2842, 2021 | 8 | 2021 |
| Multi-sensorial human perceptual experience model identifier for haptics virtual reality services in tactful networking B Picano IEEE Access 9, 147549-147558, 2021 | 6 | 2021 |
| Multi-user semantic communications system with spectrum scarcity R Fantacci, B Picano Journal of Communications and Information Networks 7 (4), 375-382, 2022 | 5 | 2022 |
| Passengers demand forecasting based on chaos theory B Picano, F Chiti, R Fantacci, Z Han ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 5 | 2019 |
| An efficient resource allocation scheme for applications in LR-WPANS based on a stable matching with externalities approach G Bartoli, F Chiti, R Fantacci, B Picano IEEE Transactions on Vehicular Technology 68 (6), 5893-5903, 2019 | 5 | 2019 |
| A channel-aware FL approach for virtual machine placement in 6G edge intelligent ecosystems B Picano, R Fantacci ACM Transactions on Internet of Things 4 (2), 1-20, 2023 | 3 | 2023 |
