E. Rapuano, T. Pacini, L. Fanucci - "A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms", Hindawi Computational Intelligence and Neuroscience journal, 11 May 2022

Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, text generation, or natural language processing. However, their inference may involve up to billions of operations and their large number of parameters...

Ciampi, L., Carrara, F., Amato, G., and Gennaro, C.: "Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images.", 17th International Conference on Computer Vision Theory and Applications (VISAPP 2021), 6-8 February, 2022

Vecchio A., Anastasi G., Coccomini D., Guazzelli S., Lotano S., Zara G. (2020) Labeling of Activity Recognition Datasets: Detection of Misbehaving Users. In: O'Hare G., O'Grady M., O’Donoghue J., Henn P. (eds) Wireless Mobile Communication and Health

Automatic recognition of user’s activities by means of wearable devices is a key element of many e-health applications, ranging from rehabilitation to monitoring of elderly citizens. Activity recognition methods generally rely on the availability of...

M. Bresciani, G. Peralta, F. Ruscio, S. Tani, V. Manzari, L. Bazzarello, A. Caiti and R. Costanzi - "ASV acoustically tracking and following an AUV: preliminary experimental evaluation”, Oceans Porto 2021

In the robotics field, cooperative approaches involving robot swarms represent a challenging task, in order to guarantee robots safety and accomplish mission goals. This problem becomes more severe when missions involve under-water vehicles, due to...

Bolettieri, S., Bruno, R., and Mingozzi, E. Joint Device Association and Resource Allocation for Time-critical IoT Applications in MEC-empowered 5G Networks. In 2021 IEEE International Conference on Smart Computing (SMARTCOMP 2021). (pp. 175-180)

Multi-access edge computing (MEC) is emerging as an effective solution to fulfil the requirements of time-critical Internet of Things (IoT) applications. However, to improve the network efficiency and QoS support of MEC systems, it is essential to...

Bolettieri, S., Bruno, R., and Mingozzi, E. (2021, 05). Application-aware resource allocation and data management for MEC-assisted IoT service providers. Journal of Network and Computer Applications. (Vol. 181, 103020).

To support the growing demand for data-intensive and low-latency IoT applications, Multi-Access Edge Computing (MEC) is emerging as an effective edge-computing approach enabling the execution of delay-sensitive processing tasks close to end-users....

Bertelli E, Mercatelli L, Marzi C, Pachetti E, Baccini M, Barucci A, Colantonio S, Gherardini L, Lattavo L, Pascali MA, Agostini S, Miele V. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI

Bertelli E.*, Mercatelli L.*, Marzi C.*, Pachetti E., Baccini M., Barucci A., Colantonio S., Gherardini L., Lattavo L., Pascali M. A., Agostini S. and Miele V. * These authors share the first authorship Prostate cancer (PCa) is the most frequent male...

Vignali, E., Gasparotti, E., Capellini, K., Fanni, B. M., Landini, L., Positano, V., & Celi, S. (2021). Modeling biomechanical interaction between soft tissue and soft robotic instruments: importance of constitutive anisotropic hyperelastic formulati

Vignali, E., Gasparotti, E., Landini, L., & Celi, S. (2021). Development and Realization of an Experimental Bench Test for Synchronized Small Angle Light Scattering and Biaxial Traction Analysis of Tissues. Electronics, 10(4), 386.

Cavallo A, Gasparotti E, Losi P, Foffa I, Al Kayal T, Vignali E, Celi S, Soldani G. Fabrication and in-vitro characterization of a polymeric aortic valve for minimally invasive valve replacement. J Mech Behav Biomed Mater. 2021 Mar;115:104294.

di Bartolo, F., Vignali, E., Gasparotti, E., Malacarne, A., Landini, L., & Celi, S. (2021). Numerical Simulations of Light Scattering in Soft Anisotropic Fibrous Structures and Validation of a Novel Optical Setup from Fibrous Media Characterization.

K. Capellini, E. Gasparotti, U. cella, E. Costa, B.M. Fanni, C. Groth, S. Porziani, M.E. Biancolini and S. Celi. A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data. Medical Engineering & Physics, 91, 68-78.

S. Celi, E. Vignali, K. Capellini and E. Gasparotti. On the role and effects of uncertainties in cardio-vascular in-silico analyses. Frontiers in Medical Technology. (Vol. 65), December 2021.

Geronzi L, Gasparotti E, Capellini K, Cella U, Groth C, Porziani S, Chiappa A,Celi S, Biancolini MA. (2021). High fidelity fluid-structure interaction by radial basis functions mesh adaption of moving walls: a workflow applied to an aortic valve.

Pizzuto A, Santoro G, Baldi C, Celi S, Cuman M, Anees AJ, Berti S, Gasparotti E, Capellini K, Clemente A. 3D model-guided transcatheter closure of left ventricular pseudoaneurysm: a case series. J Cardiovasc Med (Hagerstown). 2021 Dec 1;22(12):e1-e7.

Vignali E, Gasparotti E, Celi S, Avril S. Fully-Coupled FSI Computational Analyses in the Ascending Thoracic Aorta Using Patient-Specific Conditions and Anisotropic Material Properties. Front Physiol. 2021 Oct 20;12:732561

Cuman M, Santoro G, Capellini K, Gasparotti E, Pizzuto A, Berti S, Celi S, Clemente A. 3D model-guided trans-catheter closure of a complex aortic paravalvular leak. J Cardiovasc Med (Hagerstown). 2021 Aug 1;22(8):660-663.

S. Celi, E. Vignali, K. Capellini and E. Gasparotti. On the role and effects of uncertainties in cardio-vascular in-silico analyses. Frontiers in Medical Technology. (Vol. 65), December 2021.

M. N. Antonuccio, A. Mariotti, B. M. Fanni, K. Capellini, C. Capelli, E. Sauvage and S. Celi. Effects of Uncertainty of Outlet Boundary Conditions in a Patient-Specific Case of Aortic Coarctation. Annals of biomedical engineering. (Vol. 49, pp 3494–3

L. Geronzi, E. Gasparotti, K. Capellini, U. Cella, C. Groth, S. Porziani, A. Chiappa, S. Celi and M.E. Biancolini. High fidelity fluid-structure interaction by radial basis functions mesh adaption of mov-ing walls: A workflow applied to an aortic val