Automating Heterogeneous IoT Device Networks from Multiple Brokers with Multiple Data Models. - Pierfrancesco Bellini; Chiara Camerota; Paolo Nesi (GIOTS, 2022)

A Convolutional Neural Network for Electrical Fault Recognition in Active Magnetic Bearing Systems. - Giovanni Donati; Michele Basso; Graziano A. Manduzio; Marco Mugnaini; Tommaso Pecorella; Chiara Camerota (Sensors, 2023)

The intrinsic convenience of federated learning in malware IoT detection. - Chiara Camerota; Tommaso Pecorella; Andrew D. Bagdanov (CNSM, 2024)

Addressing Data Security in IoT: Minimum Sample Size and Denoising Diffusion Models for Improved Malware Detection. - Chiara Camerota; Lorenzo Pappone; Tommaso Pecorella; Flavio Esposito (CNSM, 2024)

A Convolutional Neural Network to Locate Unbalance in Turbomachinery Supported by AMBs. - Giovanni Donati; Michele Basso; Marco Mugnaini; Chiara Camerota (MetroInd4.0 & IoT, 2024)