Elenco Pubblicazioni - Publications (1557)
X.Tian, B. Jeppesen, T. Ikushima, F. Baronti and R. Morello, "Accelerating state-of-charge estimation in FPGA-based Battery Management Systems," 6th Hybrid and Electric Vehicles Conference (HEVC 2016), London, 2016, pp. 1-6.
Written by ROCCO MORELLO
This paper presents the implementation of a state of charge (SOC) estimator for Lithium-ion battery in a Field Programmable Gate Array (FPGA) based System-in-the-Loop platform. The paper explains and provides results from alternative methods for…
Magliaro C. et al., "DataBrain: a web-accessible database for three-dimensional reconstructions and quantitative morphometrics of neurons", EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65. Springer, Singapore
Written by ALEJANDRO LUIS CALLARA
Thanks to the new advanced tools and the innovative methods to image deep in the brain at cell resolution, neuroanatomy is quickly redefining its protocols for quantitatively studying neurons in their own three-dimensional arrangement. The…
Magliaro C., Callara A. L., Vanello N., Ahluwalia A: "A Manual Segmentation Tool for Three-Dimensional Neuron Datasets", Frontiers in Neuroinformatics, vol. 11, pp. 36, May 2017
Written by ALEJANDRO LUIS CALLARA
To date, automated or semi-automated software and algorithms for segmentation of neurons from three-dimensional imaging datasets have had limited success. The gold standard for neural segmentation is considered to be the manual isolation performed by…
A.Palla, A.Frigerio, G.Meoni,L.Fanucci: "Position Based Visual Servoing control of a Wheelchair Mounter Robotic Arm using Parallel Tracking and Mapping of task objects", EAI Endorsed Transactions on Ambient Systems 12 2016 - 0 5 2017 | Volume 4
Written by GABRIELE MEONI
In the last few years power wheelchairs have been becoming the only device able to provide autonomy and independence to people with motor skill impairments. In particular, many power wheelchairs feature robotic arms for gesture…
D. Mulfari, A. Palla, L. Fanucci: "Embedded systems and TensorFlow frameworks as Assistive Technology solutions", AAATE 2017 conference
Written by DAVIDE MULFARI
In the field of deep learning, this paper presents the design of a wearable computer vision system for visually impaired users. The Assistive Technology solution exploits a powerful single board computer and smart glasses with…
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- Prof. T. Djenizian, Head of the Flexible Electronics Department Microelectronics, Center of Provence Mines Saint-Étienne, Institut Mines-Télécom, "3D Nano- and Microstructures for Sustainable and Flexible Energy Devices", 9-13 June 2025
- Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
- CORSO POSTICIPATO - TO BE RESCHEDULED - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 12-15 May 2025
- MODIFICA DATE CORSO - Prof. Nicola Tonellotto, University of Pisa – Italy, PhD. Guglielmo Faggioli, Università degli Studi di Padova - Italy, "Privacy Preserving Information Access", 19-23 May 2025
- MODIFICA AULA CORSO Prof. Nicola Tonellotto, University of Pisa – Italy, PhD Federico Siciliano, Sapienza University of Rome – Italy, "Recommender Systems Applications in Industry 5.0", 5-9 May 2025
