Exploring the trade-off between performance and energy consumption in cloud infrastructures. - Divya Kanapram; Guerino Lamanna; Matteo Repetto (FMEC, 2017)

A framework to correlate power consumption and resource usage in cloud infrastructures. - Divya Kanapram; Riccardo Rapuzzi; Guerino Lamanna; Matteo Repetto (NetSoft, 2017)

Prediction of Multi-target Dynamics Using Discrete Descriptors: an Interactive Approach. - Mohamad Baydoun; Damian Campo; Divya Kanapram; Lucio Marcenaro; Carlo S. Regazzoni (ICASSP, 2019)

Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection. - Divya Kanapram; Pablo Marín-Plaza; Lucio Marcenaro; David Martín 001; Arturo de la Escalera; Carlo S. Regazzoni (ROBOT (1), 2019)

Dynamic Bayesian Approach for decision-making in Ego-Things. - Divya Kanapram; Damian Campo; Mohamad Baydoun; Lucio Marcenaro; Eliane L. Bodanese; Carlo S. Regazzoni; Mario Marchese (WF-IoT, 2019)

Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles. - Divya Kanapram; Fabio Patrone; Pablo Marín-Plaza; Mario Marchese; Eliane L. Bodanese; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (IEEE Internet Things J., 2020)

Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection. - Divya Thekke Kanapram; Pablo Marín-Plaza; Lucio Marcenaro; David Martín Gómez; Arturo de la Escalera; Carlo S. Regazzoni (Robotics Auton. Syst., 2020)

Dynamic Bayesian Collective Awareness Models for a Network of Ego-Things. - Divya Thekke Kanapram; Mario Marchese; Eliane L. Bodanese; David Martín Gómez; Lucio Marcenaro; Carlo S. Regazzoni (IEEE Internet Things J., 2021)

Ego things: Networks Of Self-Aware Intelligent Objects. - Divya Kanapram (2021)

Graph-Powered Interpretable Machine Learning Models for Abnormality Detection in Ego-Things Network. - Divya Thekke Kanapram; Lucio Marcenaro; David Martín Gómez; Carlo S. Regazzoni (Sensors, 2022)