A Deep Reinforcement Learning Approach For Data Migration in Multi-Access Edge Computing. - Fabrizio De Vita; Dario Bruneo; Antonio Puliafito; Giovanni Nardini; Antonio Virdis; Giovanni Stea (Kaleidoscope, 2018)

A Deep Learning Approach for Indoor User Localization in Smart Environments. - Fabrizio De Vita; Dario Bruneo (SMARTCOMP, 2018)

On the Use of LSTM Networks for Predictive Maintenance in Smart Industries. - Dario Bruneo; Fabrizio De Vita (SMARTCOMP, 2019)

Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing. - Fabrizio De Vita; Giovanni Nardini; Antonio Virdis; Dario Bruneo; Antonio Puliafito; Giovanni Stea (IEEE Commun. Stand. Mag., 2019)

A Novel Data Collection Framework for Telemetry and Anomaly Detection in Industrial IoT Systems. - Fabrizio De Vita; Dario Bruneo; Sajal K. Das 001 (IoTDI, 2020)

Quantitative Analysis of Deep Leaf: a Plant Disease Detector on the Smart Edge. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Valeria Tomaselli; Davide Giacalone; Sajal K. Das 001 (SMARTCOMP, 2020)

A deep learning approach for pressure ulcer prevention using wearable computing. - Giovanni Cicceri; Fabrizio De Vita; Dario Bruneo; Giovanni Merlino; Antonio Puliafito (Hum. centric Comput. Inf. Sci., 2020)

Leveraging Stack4Things for Federated Learning in Intelligent Cyber Physical Systems. - Fabrizio De Vita; Dario Bruneo (J. Sens. Actuator Networks, 2020)

On the use of a full stack hardware/software infrastructure for sensor data fusion and fault prediction in industry 4.0. - Fabrizio De Vita; Dario Bruneo; Sajal K. Das 001 (Pattern Recognit. Lett., 2020)

A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing. - Federico Concone; Fabrizio De Vita; Ajay Pratap; Dario Bruneo; Giuseppe Lo Re; Sajal K. Das 001 (SMARTCOMP, 2021)

A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems. - Fabrizio De Vita; Dario Bruneo; Sajal K. Das 001 (SMARTCOMP, 2021)

A Cloud Platform for Collecting and Processing Road Pavement Multi Sensor Data. - Fabrizio De Vita; Giuseppe Sollazzo; Dario Bruneo; Orazio Pellegrino; Gaetano Bosurgi (SMARTCOMP, 2021)

Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Valeria Tomaselli; Davide Giacalone; Sajal K. Das 001 (Pervasive Mob. Comput., 2021)

Traffic Condition Estimation at the Smart City Edge using Deep Learning: A Ro-Pax Terminal Case Study. - Fabrizio De Vita; Giorgio Nocera; Orlando Marco Belcore; Antonio Polimeni; Francesco Longo 001; Dario Bruneo; Massimo Di Gangi (ISC2, 2022)

On-Device Training of Deep Learning Models on Edge Microcontrollers. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Valeria Tomaselli; Mirko Falchetto (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

A fog-assisted system to defend against Sybils in vehicular crowdsourcing. - Federico Concone; Fabrizio De Vita; Ajay Pratap; Dario Bruneo; Giuseppe Lo Re; Sajal K. Das 001 (Pervasive Mob. Comput., 2022)

Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks. - Dario Bruneo; Fabrizio De Vita (Sensors, 2022)

µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers. - Fabrizio De Vita; Rawan M. A. Nawaiseh; Dario Bruneo; Valeria Tomaselli; Marco Lattuada 001; Mirko Falchetto (SMARTCOMP, 2023)

A Novel Echo State Network Autoencoder for Anomaly Detection in Industrial IoT Systems. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Sajal K. Das 001 (IEEE Trans. Ind. Informatics, 2023)

A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things. - Francesco Vitale; Fabrizio De Vita; Nicola Mazzocca; Dario Bruneo (Internet Things, 2023)

Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks. - Rawan M. A. Nawaiseh; Fabrizio De Vita; Enrico Catalfamo; Dario Bruneo (SMARTCOMP, 2024)

A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices. - Emanuele Giuseppe Siani; Laura Scigliano; Dario Bruneo; Fabrizio De Vita; Valeria Tomaselli; Danilo Pau (SMARTCOMP, 2024)