DE VITA, Fabrizio
DE VITA, Fabrizio
Dipartimento di Ingegneria
A Cloud Platform for Collecting and Processing Road Pavement Multi Sensor Data
2021-01-01 De Vita, F.; Sollazzo, G.; Bruneo, D.; Pellegrino, O.; Bosurgi, G.
A deep learning approach for indoor user localization in smart environments
2018-01-01 De Vita, F.; Bruneo, D.
A deep learning approach for pressure ulcer prevention using wearable computing
2020-01-01 Cicceri, G.; De Vita, F.; Bruneo, D.; Merlino, G.; Puliafito, A.
A deep reinforcement learning approach for data migration in multi-access edge computing
2018-01-01 De Vita, F.; Bruneo, D.; Puliafito, A.; Nardini, G.; Virdis, A.; Stea, G.
A fog-assisted system to defend against Sybils in vehicular crowdsourcing
2022-01-01 Concone, F.; De Vita, F.; Pratap, A.; Bruneo, D.; Lo Re, G.; Das, S. K.
A novel data collection framework for telemetry and anomaly detection in industrial iot systems
2020-01-01 De Vita, F.; Bruneo, D.; Das, S. K.
A Novel Echo State Network Autoencoder for Anomaly Detection in Industrial IoT Systems
2023-01-01 De Vita, F.; Nocera, G.; Bruneo, D.; Das, S. K.
A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing
2021-01-01 Concone, F.; De Vita, F.; Pratap, A.; Bruneo, D.; Re, G. L.; Das, S. K.
A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices
2024-01-01 Siani, E. G.; Scigliano, L.; Bruneo, D.; De Vita, F.; Tomaselli, V.; Pau, D.
A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things
2023-01-01 Vitale, F.; De Vita, F.; Mazzocca, N.; Bruneo, D.
A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems
2021-01-01 De Vita, F.; Bruneo, D.; Das, S. K.
A web platform for the management of road survey and maintenance information: A preliminary step towards smart road management systems
2022-01-01 Bosurgi, Gaetano; Bruneo, Dario; De Vita, Fabrizio; Pellegrino, Orazio; Sollazzo, Giuseppe
Deep learning techniques for Intelligent Cyber Physical Systems: towards a new generation of smart and autonomous things
2021-01-28 DE VITA, Fabrizio
Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks
2022-01-01 Bruneo, D.; De Vita, F.
Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems
2022-01-01 Praticò, Filippo Giammaria; Bosurgi, Gaetano; Bruneo, Dario; Cafiso, Salvatore; De Vita, Fabrizio; Di Graziano, Alessandro; Fedele, Rosario; Pellegrino, Orazio; Sollazzo, Giuseppe
Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks
2024-01-01 Nawaiseh, R. M. A.; De Vita, F.; Catalfamo, E.; Bruneo, D.
Leveraging Stack4Things for Federated Learning in Intelligent Cyber Physical Systems
2020-01-01 De Vita, Fabrizio; Bruneo, Dario
On the use of a full stack hardware/software infrastructure for sensor data fusion and fault prediction in industry 4.0
2020-01-01 De Vita, F.; Bruneo, D.; Das, S. K.
On the use of LSTM networks for predictive maintenance in smart industries
2019-01-01 Bruneo, D.; De Vita, F.
On-Device Training of Deep Learning Models on Edge Microcontrollers
2022-01-01 De Vita, F.; Nocera, G.; Bruneo, D.; Tomaselli, V.; Falchetto, M.