Pau, Danilo

Benchmarking TinyML Systems: Challenges and Direction

Banbury, C. R., Reddi, V. J., Lam, M., Fu, W., Fazel, A., Holleman, J., Huang, X., Hurtado, R., Kanter, D., Lokhmotov, A., et al. (2020) · arXiv

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 216

MLPerf Tiny Benchmark

Banbury, C., Reddi, V. J., Torelli, P., Holleman, J., Jeffries, N., Kiraly, C., Montino, P., Kanter, D., Ahmed, S., Pau, D., et al. (2021) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 121

A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning

Alessandrini, M., Calero Fuentes Rivera, R., Falaschetti, L., Pau, D., Tomaselli, V., & Turchetti, C. (2021) · Data in Brief

Smart Agriculture and AIIndustrial Vision Systems and Defect Detection

Cited by 60

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

Falaschetti, L., Manoni, L., Rivera, R. C. F., Pau, D., Romanazzi, G., Silvestroni, O., Tomaselli, V., & Turchetti, C. (2021) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Smart Agriculture and AIAdvanced Neural Network Applications

Cited by 45

Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix

Alongi, F., Ghielmetti, N., Pau, D., Terraneo, F., & Fornaciari, W. (2020) · 2020 IEEE International Conference on Smart Computing (SMARTCOMP)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 30

Tiny Machine Learning Battery State-of-Charge Estimation Hardware Accelerated

Pau, D. P., & Aniballi, A. (2024) · Applied Sciences

Battery Modeling and ManagementAdvanced Neural Network Applications

Cited by 22

Online learning on tiny micro-controllers for anomaly detection in water distribution systems

Pau, D., Khiari, A., & Denaro, D. (2021) · 2021 IEEE 11th International Conference on Consumer Electronics (ICCE-Berlin)

Water Systems and OptimizationNeural Networks and Reservoir Computing

Cited by 21

Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir

Cardoni, M., Pau, D. P., Falaschetti, L., Turchetti, C., & Lattuada, M. (2021) · Electronics

Neural Networks and Reservoir ComputingAnomaly Detection Techniques and Applications

Cited by 17

Fixed complexity tiny reservoir heterogeneous network for on-line ECG learning of anomalies

Abdennadher, N., Pau, D., & Bruna, A. (2021) · 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)

ECG Monitoring and AnalysisAnomaly Detection Techniques and Applications

Cited by 9