Zobrazeno 1 - 10
of 2 295
pro vyhledávání: '"A. Peserico"'
Autor:
Chiara Di Berardino, Alessia Peserico, Chiara Camerano Spelta Rapini, Liliana Liverani, Giulia Capacchietti, Valentina Russo, Paolo Berardinelli, Irem Unalan, Andrada-Ioana Damian-Buda, Aldo R. Boccaccini, Barbara Barboni
Publikováno v:
Reproductive Biology and Endocrinology, Vol 22, Iss 1, Pp 1-19 (2024)
Abstract Background Assisted Reproductive Technologies (ARTs) have been validated in human and animal to solve reproductive problems such as infertility, aging, genetic selection/amplification and diseases. The persistent gap in ART biomedical applic
Externí odkaz:
https://doaj.org/article/9c10e383d5bf43128c0800c87d01d9b7
The explosion of artificial intelligence and machine-learning algorithms, connected to the exponential growth of the exchanged data, is driving a search for novel application-specific hardware accelerators. Among the many, the photonics field appears
Externí odkaz:
http://arxiv.org/abs/2211.01476
We consider a network of smart sensors for an edge computing application that sample a time-varying signal and send updates to a base station for remote global monitoring. Sensors are equipped with sensing and compute, and can either send raw data or
Externí odkaz:
http://arxiv.org/abs/2209.02166
Autor:
Shen, Chen, Peserico, Nicola, Meng, Jiawei, Ma, Xiaoxuan, Nouri, Behrouz Movahhed, Popescu, Cosmin-Constantin, Hu, Juejun, El-Ghazawi, Tarek, Dalir, Hamed, Sorger, Volker J.
Solving mathematical equations faster and more efficiently has been a Holy Grail for centuries for scientists and engineers across all disciplines. While electronic digital circuits have revolutionized equation solving in recent decades, it has becom
Externí odkaz:
http://arxiv.org/abs/2208.03588
In this paper, we consider a wireless network of smart sensors (agents) that monitor a dynamical process and send measurements to a base station that performs global monitoring and decision-making. Smart sensors are equipped with both sensing and com
Externí odkaz:
http://arxiv.org/abs/2204.00703
Autor:
Ye Jiachi, Shen Chen, Peserico Nicola, Meng Jiawei, Ma Xiaoxuan, Nouri Behrouz Movahhed, Popescu Cosmin-Constantin, Hu Juejun, Kang Haoyan, Wang Hao, El-Ghazawi Tarek, Dalir Hamed, Sorger Volker J.
Publikováno v:
Nanophotonics, Vol 13, Iss 12, Pp 2231-2239 (2024)
Solving mathematical equations faster and more efficiently has been a Holy Grail for centuries for scientists and engineers across all disciplines. While electronic digital circuits have revolutionized equation solving in recent decades, it has becom
Externí odkaz:
https://doaj.org/article/1b928bb1c794435a8f16af7c1958ce59
Autor:
Meng, Jiawei, Gui, Yaliang, Nouri, Behrouz Movahhed, Comanescu, Gelu, Ma, Xiaoxuan, Zhang, Yifei, Popescu, Cosmin-Constantin, Kang, Myungkoo, Miscuglio, Mario, Peserico, Nicola, Richardson, Kathleen A., Hu, Juejun, Dalir, Hamed, Sorger, Volker J.
Photonic Random-Access Memories (P-RAM) are an essential component for the on-chip non-von Neumann photonic computing by eliminating optoelectronic conversion losses in data links. Emerging Phase Change Materials (PCMs) have been showed multilevel me
Externí odkaz:
http://arxiv.org/abs/2203.13337
Autor:
Di Berardino, Chiara1 (AUTHOR) cdiberardino@unite.it, Peserico, Alessia1 (AUTHOR), Camerano Spelta Rapini, Chiara1 (AUTHOR), Liverani, Liliana2,3 (AUTHOR), Capacchietti, Giulia1 (AUTHOR), Russo, Valentina1 (AUTHOR), Berardinelli, Paolo1 (AUTHOR), Unalan, Irem2 (AUTHOR), Damian-Buda, Andrada-Ioana2 (AUTHOR), Boccaccini, Aldo R.2 (AUTHOR), Barboni, Barbara1 (AUTHOR)
Publikováno v:
Reproductive Biology & Endocrinology. 8/2/2024, Vol. 22 Issue 1, p1-19. 19p.
The field of mimicking the structure of the brain on a chip is experiencing interest driven by the demand for machine intelligent applications. However, the power consumption and available performance of machine-learning (ML) accelerating hardware st
Externí odkaz:
http://arxiv.org/abs/2112.12844
Autor:
Chiara Di Berardino, Urte Barceviciute, Chiara Camerano Spelta Rapini, Alessia Peserico, Giulia Capacchietti, Nicola Bernabò, Valentina Russo, Valentina Gatta, Fani Konstantinidou, Marisa Donato, Barbara Barboni
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
IntroductionExcessive calorie intake poses a significant threat to female fertility, leading to hormonal imbalances and reproductive challenges. Overconsumption of unhealthy fats exacerbates ovarian dysfunction, with an overproduction of reactive oxy
Externí odkaz:
https://doaj.org/article/3aef036d8bd4400cbab5352d8d8d2f50