The Last Mile of M-Connected-Healthcare in the Covid Age: Data Sharing at Large Scale. - Alberto Faro; Daniela Giordano; Mario Venticinque (IoTaIS, 2020)

Finding the Proper Mental Stress Model Depending on Context using Edge Devices and Machine Learning. - Alberto Faro; Daniela Giordano; Mario Venticinque (IoTaIS, 2020)

Deploying Wifi, RF and BLE sensors for pervasive monitoring and control. - Alberto Faro; Daniela Giordano; Mario Venticinque (MetroInd4.0&IoT, 2020)

ESP32 based Edge Devices to Bridge Smart Devices to MQTT Broker for Healthcare Purposes in the COVID Scenario. - Alberto Faro; Daniela Giordano; Mario Venticinque (PECCS, 2020)

The Employment of Unmanned Aerial Vehicles for Analyzing and Mitigating Disaster Risks in Industrial Sites. - Giuseppe Aiello; Fabrizio Hopps; Domenico Santisi; Mario Venticinque (IEEE Trans. Engineering Management, 2020)

Internetworked wrist sensing devices for Pervasive and M-Connected Eldercare. - Alberto Faro; Daniela Giordano; Mario Venticinque (LifeTech, 2021)

Worker safety in agriculture 4.0: A new approach for mapping operator's vibration risk through Machine Learning activity recognition. - Giuseppe Aiello; Pietro Catania; Mariangela Vallone; Mario Venticinque (Comput. Electron. Agric., 2022)