Aversa, R., Branco, D., Di Martino, B. & Venticinque, S (2021). Container Based Simulation of Electric Vehicles Charge Optimization, pages 117-126. Springer Science and Business Media Deutschland GmbH.[More]
Branco, D., Di Martino, B. & Venticinque, S (2021). A Big Data Analysis and Visualization Pipeline for Green and Sustainable Mobility, pages 701-710. Springer Science and Business Media Deutschland GmbH.[More][Digital version]
Ambrisi, A., Aversa, R., Ficco, M., Cacace, D. & Venticinque, S (2021). Intelligent Cloud Agents in Multi-participant Conversations for Cyber-Physical Exploitation of Cultural Heritage, pages 97-106. Springer Science and Business Media Deutschland GmbH.[More]
Di Martino, B., Branco, D., Cante, L. C., Venticinque, S., Scholten, R. & Bosma, B. (2021). Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, .[More]
Natvig, M. K., Jiang, S., Hallsteinsen, S., Venticinque, S. & Sard, R. E (2021). Evaluation Approach for Smart Charging Ecosystem – with Focus on Automated Data Collection and Indicator Calculations, pages 653-666. Springer Science and Business Media Deutschland GmbH.[More]
2020
Di Martino, B., Cante, L. C., Graziano, M. & Sard, R. E (2020). Tweets Analysis with Big Data Technology and Machine Learning to Evaluate Smart and Sustainable Urban Mobility Actions in Barcelona, pages 510-519. Springer, Cham.[More][Digital version]
Horn, G., Przezdiek, T., Buscher, M., Venticinque, S., Aversa, R., Di Martino, B. et al (2020). An Event-Driven Multi Agent System for Scalable Traffic Optimization. In Advances in Intelligent Systems and Computing, pages 1373-1382. Springer.[More]
Laudante, G., Musone, V., Rak, M., Venticinque, S. & Salzillo, G (2020). A cloud-edge smart infrastructures for road safety. In 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings, pages 147-152. Institute of Electrical and Electronics Engineers Inc..[More]
Development of an IoT System for the Generation of a Database of Residential Water End-Use Consumption Time Series. (2020)..[More][Digital version]
2019
Venticinque, S., Di Martino, B., Aversa, R., Natvig, M., Jiang, S. & Sard, R. E (2019). Evaluating Technology Innovation for E-Mobility. In 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pages 76-81. IEEE.[More][Digital version]
Venticinque, S (2019). Benchmarking physical and virtual IoT platforms. In 2019 IEEE International Conference on Cloud Engineering (IC2E), pages 247-252. IEEE.[More]
Venticinque, S. & Nacchia, S (2019). Learning and prediction of E-Car charging requirements for flexible loads shifting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 284-293. Springer.[More]
Savaglio, C., Venticinque, S., Leppänen, T. & Ozgovde, A. (2019). Message from the Workshop General Chairs..[More]
Mauro, A. D., Nardo, A. D., Santonastaso, G. F. & Venticinque, S (2019). An IoT system for monitoring and data collection of residential water end-use consumption. In Proceedings - International Conference on Computer Communications and Networks, ICCCN, pages 1-6. Institute of Electrical and Electronics Engineers Inc..[More]
Ficco, M. (2019). Could emerging fraudulent energy consumption attacks make the cloud infrastructure costs unsustainable?. Information Sciences, 476, 474-490.[More][Digital version]
Casola, V., Benedictis, A. D., Rak, M. & Villano, U. (2019). A proposal of a cloud-oriented security and performance simulator provided as-a-service. Advances in Intelligent Systems and Computing, 772, 1002-1011.[More][Digital version]
Amato, F., Di Martino, B., Marulli, F. & Moscato, F. (2019). A federation of cognitive cloud services for trusting data sources. Advances in Intelligent Systems and Computing, 772, 1022-1031.[More][Digital version]
Redavid, D., Malerba, D., Di Martino, B., Esposito, A., Ardagna, C. A., Bellandi, V. et al. (2019). Semantic support for model based big data analytics-as-a-service (MBDAaaS). Advances in Intelligent Systems and Computing, 772, 1012-1021.[More][Digital version]
2018
Venticinque, S., Aversa, R. & Di Martino, B (2018). Integrating e-mobility in smart energy neighborhoods. In Proceeedings of 32nd EnviroInfo conference 2018- Environmental Informatics Techniques and Trends, pages 277-280. Shaker Verlag.[More][Digital version]
Ficco, M., Pietrantuono, R. & Russo, S. (2018). Hybrid Simulation and Test of Vessel Traffic Systems on the Cloud. IEEE Access, 6, 47273-47287.[More][Digital version]
