| 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 | 76 | 2019 |
| 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 | 75 | 2020 |
| 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 | 36 | 2018 |
| 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 | 31 | 2020 |
| 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 | 27 | 2020 |
| 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 | 25* | 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 | 17 | 2019 |
| 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 | 16 | 2021 |
| 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 | 14 | 2022 |
| 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 | 12 | 2022 |
| 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 | 8 | 2018 |
| 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 | 7 | 2021 |
| 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 | 6 | 2023 |
| 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 19 (8), 8985-8994, 2022 | 6 | 2022 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| 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 | 4 | 2022 |
| Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks D Bruneo, F De Vita Sensors 22 (8), 2858, 2022 | 3 | 2022 |
Dario BruneoUniversità di Messina在 unime.it 的电子邮件经过验证
