Zobrazeno 1 - 10
of 2 352
pro vyhledávání: '"George EM"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable risk of long-term death, especially among the elderly, demanding urgent medical attention. Accurate prediction of SH remains challenging due
Externí odkaz:
https://doaj.org/article/b7fa39fb33164e509398182c081cb40e
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Materials simulations based on direct numerical solvers are accurate but computationally expensive for predicting materials evolution across length- and time-scales, due to the complexity of the underlying evolution equations, the nature of
Externí odkaz:
https://doaj.org/article/6da11ea4e1c24b6d83638be23b0a7844
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Predicting complex dynamics in physical applications governed by partial differential equations in real-time is nearly impossible with traditional numerical simulations due to high computational cost. Neural operators offer a solution by app
Externí odkaz:
https://doaj.org/article/946341210a94489cb89fd883d3b4e2b9
ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation
Autor:
Melih Agraz, Dincer Goksuluk, Peng Zhang, Bum-Rak Choi, Richard T. Clements, Gaurav Choudhary, George Em Karniadakis
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
IntroductionThe advent of RNA sequencing (RNA-Seq) has significantly advanced our understanding of the transcriptomic landscape, revealing intricate gene expression patterns across biological states and conditions. However, the complexity and volume
Externí odkaz:
https://doaj.org/article/47840e320b1f4afaaecb8f10ac3db67a
Autor:
George V. Theodorakopoulos, Sergios K. Papageorgiou, Fotios K. Katsaros, George Em. Romanos, Margarita Beazi-Katsioti
Publikováno v:
Materials, Vol 17, Iss 18, p 4663 (2024)
This comprehensive study explores the kinetics of adsorption and its photocatalytic degradation of methyl orange (MO) using an advanced copper-decorated photocatalyst in the form of hollow fibers (HFs). Designed to boost both adsorption capacity and
Externí odkaz:
https://doaj.org/article/88c43c504faf4f89b909b7bf5bc3f818
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/c2132141ef5d432894885e504a5473eb
Autor:
Youngeun Kim, Adar Kahana, Ruokai Yin, Yuhang Li, Panos Stinis, George Em Karniadakis, Priyadarshini Panda
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Time-To-First-Spike (TTFS) coding in Spiking Neural Networks (SNNs) offers significant advantages in terms of energy efficiency, closely mimicking the behavior of biological neurons. In this work, we delve into the role of skip connections, a widely
Externí odkaz:
https://doaj.org/article/1b9e4781ca65445d9cceb8375bdaf973
Autor:
Stelios Loukopoulos, Elias Sakellis, Marios G. Kostakis, Dimitrios-Triantafyllos Gerokonstantis, Polychronis Tsipas, Spiros Gardelis, Athanassios G. Kontos, Fotis K. Katsaros, Zili Sideratou, George Em. Romanos, Athanasios Dimoulas, Nikolaos S. Thomaidis, Vlassis Likodimos
Publikováno v:
ACS Omega, Vol 8, Iss 37, Pp 33639-33650 (2023)
Externí odkaz:
https://doaj.org/article/e3448f6912b144feaadfa8b850063109
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-31 (2023)
Abstract This paper presents a physics-informed neural network (PINN) approach for monitoring the health of diesel engines. The aim is to evaluate the engine dynamics, identify unknown parameters in a “mean value” model, and anticipate maintenanc
Externí odkaz:
https://doaj.org/article/fe847d4e9ff2432ca72d45f76a5688ec
Autor:
George V. Theodorakopoulos, Michalis K. Arfanis, Tadej Stepišnik Perdih, Simos Malamis, Dimitrios Iatrou, George Em. Romanos, Polycarpos Falaras
Publikováno v:
Environments, Vol 11, Iss 7, p 156 (2024)
Industrial activities generate enormous quantities of polluted effluents, necessitating advanced methods of wastewater treatment to prevent potential environmental threats. Thus, the design of a novel photocatalytic reactor for industrial water decon
Externí odkaz:
https://doaj.org/article/7b20c4c386ba4aec98b3b3347746b52d