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Fabrizio De Vita
Fabrizio De Vita
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Citado por
Citado por
Año
On the use of LSTM networks for predictive maintenance in smart industries
D Bruneo, F De Vita
2019 ieee international conference on smart computing (smartcomp), 241-248, 2019
742019
A deep learning approach for pressure ulcer prevention using wearable computing
G Cicceri, F De Vita, D Bruneo, G Merlino, A Puliafito
Human-centric Computing and Information Sciences 10 (1), 5, 2020
732020
A deep reinforcement learning approach for data migration in multi-access edge computing
F De Vita, D Bruneo, A Puliafito, G Nardini, A Virdis, G Stea
2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), 1-8, 2018
362018
Quantitative analysis of deep leaf: a plant disease detector on the smart edge
F De Vita, G Nocera, D Bruneo, V Tomaselli, D Giacalone, SK Das
2020 IEEE International Conference on Smart Computing (SMARTCOMP), 49-56, 2020
302020
On the use of a full stack hardware/software infrastructure for sensor data fusion and fault prediction in industry 4.0
F De Vita, D Bruneo, SK Das
Pattern Recognition Letters 138, 30-37, 2020
272020
A novel data collection framework for telemetry and anomaly detection in industrial iot systems
F De Vita, D Bruneo, SK Das
2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design …, 2020
23*2020
Using deep reinforcement learning for application relocation in multi-access edge computing
F De Vita, G Nardini, A Virdis, D Bruneo, A Puliafito, G Stea
IEEE Communications Standards Magazine 3 (3), 71-78, 2019
172019
Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection
F De Vita, G Nocera, D Bruneo, V Tomaselli, D Giacalone, SK Das
Pervasive and Mobile Computing 75, 101437, 2021
152021
A web platform for the management of road survey and maintenance information: A preliminary step towards smart road management systems
G Bosurgi, D Bruneo, F De Vita, O Pellegrino, G Sollazzo
Structural control and health monitoring 29 (3), e2905, 2022
132022
On-device training of deep learning models on edge microcontrollers
F De Vita, G Nocera, D Bruneo, V Tomaselli, M Falchetto
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2022
92022
A deep learning approach for indoor user localization in smart environments
F De Vita, D Bruneo
2018 IEEE International Conference on Smart Computing (SMARTCOMP), 89-96, 2018
82018
A semi-supervised bayesian anomaly detection technique for diagnosing faults in industrial iot systems
F De Vita, D Bruneo, SK Das
2021 IEEE International Conference on Smart Computing (SMARTCOMP), 31-38, 2021
62021
A novel echo state network autoencoder for anomaly detection in industrial IoT systems
F De Vita, G Nocera, D Bruneo, SK Das
IEEE Transactions on Industrial Informatics, 2022
52022
A novel recruitment policy to defend against sybils in vehicular crowdsourcing
F Concone, F De Vita, A Pratap, D Bruneo, GL Re, SK Das
2021 IEEE International Conference on Smart Computing (SMARTCOMP), 105-112, 2021
52021
Leveraging stack4things for federated learning in intelligent cyber physical systems
F De Vita, D Bruneo
Journal of Sensor and Actuator Networks 9 (4), 59, 2020
52020
µ-ff: On-device forward-forward training algorithm for microcontrollers
F De Vita, RMA Nawaiseh, D Bruneo, V Tomaselli, M Lattuada, ...
2023 IEEE International Conference on Smart Computing (SMARTCOMP), 49-56, 2023
42023
Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems
FG Praticò, G Bosurgi, D Bruneo, S Cafiso, F De Vita, A Di Graziano, ...
Structural Control and Health Monitoring 29 (10), e3044, 2022
42022
A fog-assisted system to defend against Sybils in vehicular crowdsourcing
F Concone, F De Vita, A Pratap, D Bruneo, GL Re, SK Das
Pervasive and Mobile Computing 83, 101612, 2022
42022
Towards Trustless Prediction-as-a-Service
G Santhosh, F De Vita, D Bruneo, F Longo, A Puliafito
2019 IEEE International Conference on Smart Computing (SMARTCOMP), 317-322, 2019
42019
Traffic Condition Estimation at the Smart City Edge using Deep Learning: A Ro-Pax Terminal Case Study
F De Vita, G Nocera, OM Belcore, A Polimeni, F Longo, D Bruneo, ...
2022 IEEE International Smart Cities Conference (ISC2), 1-7, 2022
22022
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