E. Vignali, E. Gasparotti, B. M. Fanni, L. Ait-Ali, V. Positano, L. Landini, S. Celi, Development of a fully controllable real-time pump to reproduce left ventricle physiological flow, Atti del Congresso AIMETA 2019

F. Di Bartolo E. Vignali, A. Malacarne, E. Gasparotti, V. Positano, L. Landini, S. Celi, "Optomechanical characterization of soft biological tissues: an integration of biaxial test and sals technique", ESB 2019 Congress

E. Vignali*, Z. Manigrasso*, E. Gasparotti*, B. Biffi, L. Landini, V. Positano, C. Capelli, S. Celi: “Design, simulation, and fabrication of a three-dimensional printed pump mimicking the left ventricle motion”,[...]

The development of accurate replicas of the circulatory and cardiac system is fundamental for a deeper understanding of cardiovascular diseases and the testing of new devices. Although numerous works concerning mock circulatory loops are present in the...

E. Gasparotti, E. Vignali, P. Losi, B. M. Fanni, M. Scatto, L. Landini, V. Positano, S. Celi: "A 3D printed melt-compounded antibiotic loaded thermoplastic polyurethane heart valve ring design: an integrated framework of experimental material [...]

Heart diseases are one of the commonest causes of death worldwide. These include valve pathologies such as valve stenosis, regurgitation, failure and similar, for which usually a valve substitution procedure is required. Different prosthesis...

G. Vivoli, E. Gasparotti, M. Rezzaghi, E. Cerone, M. Mariani, L. Landini, S. Berti, V. Positano, and S. Celi “Simultaneous Functional and Morphological Assessment of Left Atrial Appendage by 3D Virtual Models”, Journal of Healthcare Engineering,2019

The left atrial appendage (LAA) is responsible for thrombus formation in patients with atrial fibrillation. The evaluation of both LAA function and morphology is crucial for the patient characterization and the preprocedural planning of LAA closure...

G. Vivoli, E. Gasparotti, M. Rezzaghi, E. Cerone, M. Mariani, L. Landini, S. Berti, V. Positano, and S. Celi “Simultaneous Functional and Morphological Assessment of Left Atrial Appendage by 3D Virtual Models”, Journal of Healthcare Engineering,2019

The left atrial appendage (LAA) is responsible for thrombus formation in patients with atrial fibrillation. The evaluation of both LAA function and morphology is crucial for the patient characterization and the preprocedural planning of LAA closure...

A. Boccadifuoco, A. Mariotti, K. Capellini, S. Celi, and M. V. Salvetti. “Validation of numerical simulations of thoracic aorta hemodynamics: comparison with in vivo measurements and stochastic sensitivity analysis.” Cardiovasc. Eng. Technol. 2018

Abstract: Computational fluid dynamics (CFD) and 4D-flow magnetic resonance imaging (MRI) are synergically used for the simulation and the analysis of the flow in a patient-specific geometry of a healthy thoracic aorta. CFD simulations are carried out...

S. Cresci, S. Minutoli, L. Nizzoli, S. Tardelli, M. Tesconi: “Enriching Digital Libraries with Crowdsensed Data”, Italian Research Conference on Digital Libraries (IRCDL’19), January 2019

Abstract: SoBigData is a Research Infrastructure (RI) aiming to provide an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining. A key milestone of the project focuses on data, methods and...

S. Cresci, F. Lillo, D. Regoli, S. Tardelli, M. Tesconi: “Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on Twitter”, ACM Transactions on the Web (TWEB), 13(2), 11, April 2019

Abstract: Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots and...

S. Cresci, F. Lillo, D. Regoli, S. Tardelli, M. Tesconi: “Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on Twitter”, ACM Transactions on the Web (TWEB), 13(2), 11, April 2019

Abstract: Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots and...

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini: Using stigmergy as a computational memory in the design of recurrent neural networks

In this paper, a novel architecture of Recurrent Neural Network (RNN) is designed and experimented. The proposed RNN adopts a computational memory based on the concept of stigmergy. The basic principle of a Stigmergic Memory (SM) is that the activity...

Federico A. Galatolo, Mario G.C.A. Cimino, Gigliola Vaglini: Using stigmergy to incorporate the time into artificial neural networks

A current research trend in neurocomputing involves the design of novel artificial neural networks incorporating the concept of time into their operating model. In this paper, a novel architecture that employs stigmergy is proposed. Computational...

D. Fanucchi, F. Righetti, C. Vallati, B. Staehle, G. Anastasi, “Improving Link Quality Estimation Accuracy in 6TiSCH Networks”, IEEE International Conference on Internet of Things: Systems, Management and Security (IoTSMS 2019), Granada, Spain, 2019

Abstract: The Industrial Internet of Things (IIoT) will lever- age on wireless network technologies to integrate in a seam- less manner Cyber-Physical systems into existing information systems. In this context, the 6TiSCH architecture, proposed by...

Mulfari, D., & Mulfari, S. (2018, November). Assistive Technologies to Support Distance Learning for Students with Disabilities. In Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 312-313).

Mulfari, D., Meoni, G., & Fanucci, L. (2018, November). Machine Learning in Assistive Te-chnology: a Solution for People with Dysarthria. In Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 3

Mulfari, D., Meoni, G., Marini, M., & Fanucci, L. (2019). A Machine Learning Assistive Solution for Users with Dysarthria, Technology and Disability, 31, S137-S146.

Bruneo, D., Distefano, S., Giacobbe, M., Minnolo, A. L., Longo, F., Mulfari, D., et al. (2019). An iot service ecosystem for smart cities: The# smartme project. Internet of Things, 5, 12-33.

G. Dinelli, G.Meoni, P.Nannipieri, L.Dello Sterpaio, A.Marino, L.Fanucci: "Integration of a SpaceFibre IP core with the LEON3 microprocessor through an AMBA AHB bus", int. APPLEPLIES workshop

D.Mulfari, G.Meoni, M.Marini, L.Fanucci: “A machine learning assistive solution for users with dysarthria”, AAATE Conf. 2019, Bologna, Italy, 27-30 August 2019

G.Giuffrida, G.Meoni, L.Fanucci: "A YOLOv2 Convolutional Neural Network-Based Human–Machine Interface for the Control of Assistive Robotic Manipulators." Applied Sciences 9.11 (2019): 2243.