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S. Saponara, A. Elhanashi , A. Gagliardi: " Reconstruct Fingerprint Images Using Deep Learning and Sparse Autoencoder Algorithms submitted", Proc. Volume 11736, Real-Time Image Processing and Deep Learning 2021; https://doi.org/10.1117/12.2585707
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S. Saponara, A. Elhanashi , A. Gagliardi: "Implementing a Real-time, AI-Based, People Detec- tion and Social Distancing Measuring System for Covid-19", Springer Journal on Real Time Image Processing, Jan 2021;1-11, DOI: 10.1007/s11554-021-01070-6
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S. Saponara, A. Elhanashi , A. Gagliardi:" Real-time video fire/smoke detection based on CNN in antifire surveillance systems ",Springer Journal on Real Time Image Processing DOI:10.1007/s11554-020-01044-0
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S. Saponara, A. Elhanashi , A. Gagliardi: " People detection and social distancing classification in smart cities for COVID-19 by using thermal images and deep learning algorithms ", ICities 2020 , Septamber 2020
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S. Saponara, A. Elhanashi , A. Gagliardi: " Enabling YOLOv2 models to monitor fire / smoke detection remotely in smart infstructures ", Applepies, November 2020 DOI:10.1007/978-3-030-66729-0_4
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S. Saponara, A. Elhanashi , A. Gagliardi: Exploiting R-CNN for video smoke/fire sensing in antifire surveillance indoor and outdoor systems for smart cities, IEEE 6th Sixth Workshop on Sensors, September 2020 DOI: 10.1109/SMARTCOMP50058.2020.00083
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NUOVE DATE CORSO - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 17-20 November 2025
MODIFICA DATE CORSO - Prof. Martina Brofiga, University of Genova - Italy, "Innovations in In vitro Neuronal Engineering: bridging biology and technology", 22-30 September 2025
Prof. Matteo Palma, Queen Mary University of London – U.K, “Nano(bio)technology strategies for smart materials, devices, and systems", 8-19 September 2025
Prof. Jens C. Schwamborn, University of Luxembourg - Luxembourg Centre for Systems Biomedicine, "Current advances in brain organoid science", 22-26 September 2025
MODIFICA AULA - 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
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