Zobrazeno 1 - 10
of 7 186
pro vyhledávání: '"Zervas A"'
Publikováno v:
KDD Undergraduate Consortium 2024
Split Learning has been recently introduced to facilitate applications where user data privacy is a requirement. However, it has not been thoroughly studied in the context of Privacy-Preserving Record Linkage, a problem in which the same real-world e
Externí odkaz:
http://arxiv.org/abs/2409.01088
NSVS 14256825: period variation and orbital stability analysis of two possible substellar companions
Publikováno v:
A&A 691, A115 (2024)
Recent period investigations of the Post-Common Envelop Binary (PCEB) NSVS 14256825 suggested that two circumbinary companions were necessary to explain the observed Eclipse Timing Variations (ETVs). Our objective was to search for the best-fitting c
Externí odkaz:
http://arxiv.org/abs/2408.15358
Autor:
Rodgers, Lila V. H., Nguyen, Suong T., Cox, James H., Zervas, Kalliope, Yuan, Zhiyang, Sangtawesin, Sorawis, Stacey, Alastair, Jaye, Cherno, Weiland, Conan, Pershin, Anton, Gali, Adam, Thomsen, Lars, Meynell, Simon A., Hughes, Lillian B., Jayich, Ania C. Bleszynski, Gui, Xin, Cava, Robert J., Knowles, Robert R., de Leon, Nathalie P.
Nitrogen-vacancy centers in diamond are a promising platform for nanoscale nuclear magnetic resonance sensing. Despite significant progress towards using NV centers to detect and localize nuclear spins down to the single spin level, NV-based spectros
Externí odkaz:
http://arxiv.org/abs/2309.07354
Protective effect of Glycyrrhiza glabra roots extract on bone mineral density of ovariectomized rats
Autor:
Galanis Dimitrios, Soultanis Konstantinos, Lelovas Pavlos, Zervas Alexandros, Papadopoulos Panagiotis, Galanos Antonis, Argyropoulou Katerina, Makropoulou Maria, Patsaki Anastasia, Passali Christina, Tsingotjidou Anastasia, Kourkoulis Stavros, Mitakou Sofia, Dontas Ismene
Publikováno v:
BioMedicine, Vol 9, Iss 2, p 8 (2019)
Objective: The aim of this study was to evaluate the potential effect of the methanolic extract of plant Glycyrrhiza glabra roots on bone mineral density and femoral bone strength of ovariectomized rats. Methods: Thirty 10-month-old Wistar rats were
Externí odkaz:
https://doaj.org/article/9d9e5ddd6d9d4296aaf001ff7cc7e98c
Publikováno v:
OFC'23: Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023
We propose a new algorithm for generating custom network traffic matrices which achieves 13x, 38x, and 70x faster generation times than prior work on networks with 64, 256, and 1024 nodes respectively.
Comment: Accepted to OFC'23: Proceedings of
Comment: Accepted to OFC'23: Proceedings of
Externí odkaz:
http://arxiv.org/abs/2302.09970
From natural language processing to genome sequencing, large-scale machine learning models are bringing advances to a broad range of fields. Many of these models are too large to be trained on a single machine, and instead must be distributed across
Externí odkaz:
http://arxiv.org/abs/2301.13799
Autor:
Živilė Buivydaitė, Anne Winding, Lise Nistrup Jørgensen, Athanasios Zervas, Rumakanta Sapkota
Publikováno v:
Virus Research, Vol 349, Iss , Pp 199462- (2024)
Fusarium head blight (FHB) continues to be a major problem in wheat production and is considered a disease complex caused by several fungal pathogens including Fusarium culmorum, F. graminearum and F. equiseti. With the objective of investigating div
Externí odkaz:
https://doaj.org/article/4f03179b8ce7422790d0b6b99127449c
Autor:
Anastasia Lytou, Lemonia-Christina Fengou, Antonis Koukourikos, Pythagoras Karampiperis, Panagiotis Zervas, Aske Schultz Carstensen, Alessia Del Genio, Jens Michael Carstensen, Nette Schultz, Nikos Chorianopoulos, George-John Nychas
Publikováno v:
Journal of Food Protection, Vol 87, Iss 10, Pp 100274- (2024)
Monitoring food quality throughout the supply chain in a rapid and cost-effective way allows on-time decision−making, reducing food waste, and increasing sustainability. A portable multispectral imaging sensor was used for the rapid prediction of m
Externí odkaz:
https://doaj.org/article/9906ce5631a24aea9f04722fb22ea785
Distributed deep learning (DDL) systems strongly depend on network performance. Current electronic packet switched (EPS) network architectures and technologies suffer from variable diameter topologies, low-bisection bandwidth and over-subscription af
Externí odkaz:
http://arxiv.org/abs/2211.15226
Autor:
Shabka, Zacharaya, Zervas, Georgios
Resource-disaggregated data centre architectures promise a means of pooling resources remotely within data centres, allowing for both more flexibility and resource efficiency underlying the increasingly important infrastructure-as-a-service business.
Externí odkaz:
http://arxiv.org/abs/2211.02466