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pro vyhledávání: '"De Maio A"'
The increasing growth of data volume, and the consequent explosion in demand for computational power, are affecting scientific computing, as shown by the rise of extreme data scientific workflows. As the need for computing power increases, quantum co
Externí odkaz:
http://arxiv.org/abs/2404.10389
The increasing capabilities of Machine Learning (ML) models go hand in hand with an immense amount of data and computational power required for training. Therefore, training is usually outsourced into HPC facilities, where we have started to experien
Externí odkaz:
http://arxiv.org/abs/2403.18579
Autor:
De Maio, Vincenzo, Kanatbekova, Meerzhan, Zilk, Felix, Friis, Nicolai, Guggemos, Tobias, Brandic, Ivona
As we enter the post-Moore era, we experience the rise of various non-von-Neumann-architectures to address the increasing computational demand for modern applications, with quantum computing being among the most prominent and promising technologies.
Externí odkaz:
http://arxiv.org/abs/2403.00885
Publikováno v:
Euro-Par 2023: Parallel Processing Workshops. Euro-Par 2023. Lecture Notes in Computer Science, vol 14351. Springer, Cham
With the advent of the Post-Moore era, the scientific community is faced with the challenge of addressing the demands of current data-intensive machine learning applications, which are the cornerstone of urgent analytics in distributed computing. Qua
Externí odkaz:
http://arxiv.org/abs/2402.15542
Autor:
Marino, Angela, Soldi, Giovanni, Gaglione, Domenico, Aubry, Augusto, Braca, Paolo, De Maio, Antonio, Willett, Peter
Multi-platform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic systems. The design of advanced detection, localization, and tracking algor
Externí odkaz:
http://arxiv.org/abs/2308.06972
Autor:
Maria do Carmo Leal, Rosa Maria Soares Madeira Domingues, Thaís Cristina Oliveira Fonseca, Tatiana Henriques Leite, Ana Claudia Figueiró, Ana Paula Esteves Pereira, Mariza Miranda Theme-Filha, Bárbara Vasques da Silva Ayres, Oliver Scott, Rita de Cássia Sanchez, Paulo Borem, Maria Carolina de Maio Osti, Marcos Wengrover Rosa, Amanda S. Andrade, Fernando Maia Peixoto Filho, Marcos Nakamura-Pereira, Jacqueline Alves Torres
Publikováno v:
Reproductive Health, Vol 20, Iss S2, Pp 1-18 (2024)
Abstract Background Brazil is one of the countries with the highest rates of caesarean sections (CS), reaching almost 90% of births in the private sector. A quality improvement project called “Adequate Childbirth Project (PPA)” was conceived to r
Externí odkaz:
https://doaj.org/article/0914e978f03e4ede9426a1f2ce9fd43c
Autor:
Anna Basile, Valentina Giudice, Laura Mettivier, Antonia Falco, Anna Lisa Cammarota, Angela D’Ardia, Carmine Selleri, Margot De Marco, Nicola De Maio, Maria Caterina Turco, Liberato Marzullo, Alessandra Rosati
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract The Bcl2-associated athanogene-3 (BAG3) protein, a critical regulator of cellular survival, has been identified as a potential therapeutic target in various malignancies. This study investigates the role of BAG3 within stromal fibroblasts an
Externí odkaz:
https://doaj.org/article/781eb40488154d1d9d949f60a66c1134
This work considers Maximum Likelihood Estimation (MLE) of a Toeplitz structured covariance matrix. In this regard, an equivalent reformulation of the MLE problem is introduced and two iterative algorithms are proposed for the optimization of the equ
Externí odkaz:
http://arxiv.org/abs/2307.03923
Multifunction phased array radars (MPARs) exploit the intrinsic flexibility of their active electronically steered array (ESA) to perform, at the same time, a multitude of operations, such as search, tracking, fire control, classification, and commun
Externí odkaz:
http://arxiv.org/abs/2307.03081
Autor:
Rezaei, Omid, Ahmadi, Mahdi, Naghsh, Mohammad Mahdi, Aubry, Augusto, Nayebi, Mohammad Mahdi, De Maio, Antonio
In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learning-inspired method. Specifcally, the synthesis of either a single or
Externí odkaz:
http://arxiv.org/abs/2305.08936