Alfredo RUBINO | Pubblicazioni

211409Highly-accurate binary tiny neural network for low-power human activity recognition

	2021
	Articolo in rivista
	Highly-accurate binary tiny neural network for low-power human activity recognition MICROPROCESSORS AND MICROSYSTEMS. Vol. 87. Pag.1-8 ISSN:0141-9331.
	De Vita, A.; Pau, D.; Di Benedetto, L.; Rubino, A.; Petrot, F.; Licciardo, G. D.
	Versione online
	Digital Object Identifier (DOI): 10.1016/j.micpro.2021.104371 Codice identificativo ISI: WOS:000722314700005 Codice identificativo SCOPUS: 2-s2.0-85118834748
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183943On the design of the channel region in 4H-SiC JBS diode through an analytical model of the potential barrier

	2021
	Articolo in rivista
	On the design of the channel region in 4H-SiC JBS diode through an analytical model of the potential barrier MATHEMATICS AND COMPUTERS IN SIMULATION. Vol. 183. Pag.1-198 ISSN:0378-4754.
	Di Benedetto, L.; Licciardo, G. D.; Rubino, A.
	Versione online
	Digital Object Identifier (DOI): 10.1016/j.matcom.2020.07.008 Codice identificativo ISI: WOS:000608589000015 Codice identificativo SCOPUS: 2-s2.0-85087797684
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203415A resource constrained neural network for the design of embedded human posture recognition systems

	2021
	Articolo in rivista
	A resource constrained neural network for the design of embedded human posture recognition systems APPLIED SCIENCES. Vol. 11. Pag.4752-4764 ISSN:2076-3417.
	Licciardo, G. D.; Russo, A.; Naddeo, A.; Cappetti, N.; Di Benedetto, L.; Rubino, A.; Liguori, R.
	Versione online
	Digital Object Identifier (DOI): 10.3390/app11114752 Codice identificativo ISI: WOS:000659568800001 Codice identificativo SCOPUS: 2-s2.0-85106983718
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216074Admittance spectroscopy and material modeling for organic electronic applications

	2021
	Contributo in Atti di convegno
	Admittance spectroscopy and material modeling for organic electronic applications. In: Materials Today: Proceedings RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS Elsevier Ltd Vol.44, Pag.2033-2037
	11th International Conference on Materials Processing and Characterization Indore 2020
	Liguori, R.; Rubino, A.
	Digital Object Identifier (DOI): 10.1016/j.matpr.2020.12.132 Codice identificativo ISI: WOS:000645097400004 Codice identificativo SCOPUS: 2-s2.0-85105574791
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206738Quantized Fully Convolution Neural Network for HW Implementation of Human Posture Recognition

	2021
	Contributo in Atti di convegno
	Quantized Fully Convolution Neural Network for HW Implementation of Human Posture Recognition. In: 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021 Institute of Electrical and Electronics Engineers Inc. Pag.1-4 ISBN:978-1-6654-1913-0
	3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021 usa 2021
	Russo, A.; Licciardo, G. D.; Di Benedetto, L.; Rubino, A.; Liguori, R.; Naddeo, A.; Cappetti, N.
	Versione online
	Digital Object Identifier (DOI): 10.1109/AICAS51828.2021.9458487 Codice identificativo ISI: WOS:000722241000040 Codice identificativo SCOPUS: 2-s2.0-85113290415
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249113Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing

	2021
	Contributo in volume (Capitolo o Saggio)
	Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing. In 2021 28th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2021 - Proceedings Pag.1-5 345 E 47TH ST, NEW YORK, NY 10017 USA Institute of Electrical and Electronics Engineers Inc.. ISBN:978-1-7281-8281-0
	Vitolo, P.; Licciardo, G. D.; Di Benedetto, L.; Liguori, R.; Rubino, A.; Pau, D.
	Digital Object Identifier (DOI): 10.1109/ICECS53924.2021.9665479 Codice identificativo ISI: WOS:000784162400026 Codice identificativo SCOPUS: 2-s2.0-85124598678
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249115Design of digital controller for SVPWM algorithm with real-time control of the output amplitude and switching frequency

	2021
	Contributo in volume (Capitolo o Saggio)
	Design of digital controller for SVPWM algorithm with real-time control of the output amplitude and switching frequency. In Proceedings - IEEE International Symposium on Circuits and Systems - ISCAS 2021 Pag.1-5 345 E 47TH ST, NEW YORK, NY 10017 USA Institute of Electrical and Electronics Engineers Inc.. ISBN:978-1-7281-9201-7
	Donisi, A.; Di Benedetto, L.; Licciardo, G. D.; Rubino, A.; Piccirilli, E.; Lanzotti, E.
	Digital Object Identifier (DOI): 10.1109/ISCAS51556.2021.9401527 Codice identificativo ISI: WOS:000706507900050 Codice identificativo SCOPUS: 2-s2.0-85109028600
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