ROSALBA LIGUORI | Pubblicazioni
ROSALBA LIGUORI Pubblicazioni
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 | |
Visualizza sul Database dei Prodotti (IRIS) |
2021 | |
Contributo in Atti di convegno | |
Linear organic transistor based temperature sensor between 230 and 330 K. In: Proceedings of IEEE Sensors Institute of Electrical and Electronics Engineers Inc. Vol.2021-, Pag.1-4 ISBN:978-1-7281-9501-8 | |
20th IEEE Sensors, SENSORS 2021 Sydney, Australia 2021 | |
Liguori, R.; Di Benedetto, L.; Licciardo, G. D. | |
Digital Object Identifier (DOI): 10.1109/SENSORS47087.2021.9639628 Codice identificativo ISI: WOS:000755468300137 Codice identificativo SCOPUS: 2-s2.0-85123632927 | |
Visualizza sul Database dei Prodotti (IRIS) |
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 | |
Visualizza sul Database dei Prodotti (IRIS) |
2021 | |
Contributo in Atti di convegno | |
Organic transistor parameter estimation and accurate modeling for process optimization. In: SMACD / PRIME 2021 - International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design and 16th Conference on PhD Research in Microelectronics and Electronics VDE VERLAG GMBH Pag.228-231 ISBN:978-3-8007-5588-2 | |
2021 International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2021 and 16th Conference on PhD Research in Microelectronics and Electronics, PRIME 2021 Germany 2021 | |
Liguori, R.; Licciardo, G. D.; Di Benedetto, L. | |
Codice identificativo SCOPUS: 2-s2.0-85117396786 | |
Visualizza sul Database dei Prodotti (IRIS) |
2021 | |
Contributo in Atti di convegno | |
A Model of the V-T Characteristics for an OTFT Temperature Sensor. In: Proceedings of the International Semiconductor Conference, CAS Institute of Electrical and Electronics Engineers Inc. Vol.2021-, Pag.93-96 ISBN:978-1-6654-3571-0 | |
44th International Semiconductor Conference, CAS 2021 Romania 2021 | |
Liguori, R.; Di Benedetto, L.; Licciardo, G. D. | |
Digital Object Identifier (DOI): 10.1109/CAS52836.2021.9604137 Codice identificativo ISI: WOS:000853482700017 Codice identificativo SCOPUS: 2-s2.0-85122981331 | |
Visualizza sul Database dei Prodotti (IRIS) |
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 | |
Visualizza sul Database dei Prodotti (IRIS) |
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 | |
Visualizza sul Database dei Prodotti (IRIS) |