Zobrazeno 1 - 10
of 1 184
pro vyhledávání: '"Eivazi A"'
Autor:
Eivazi, Hamidreza, Hebenbrock, André, Ginster, Raphael, Blömeke, Steffen, Wittek, Stefan, Herrmann, Christoph, Spengler, Thomas S., Turek, Thomas, Rausch, Andreas
Publikováno v:
Foundation Models for Science Workshop, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Battery degradation remains a critical challenge in the pursuit of green technologies and sustainable energy solutions. Despite significant research efforts, predicting battery capacity loss accurately remains a formidable task due to its complex nat
Externí odkaz:
http://arxiv.org/abs/2410.23893
Autor:
Pfeiffer, Felix, Eivazi, Shahram
The tuning of hyperparameters in reinforcement learning (RL) is critical, as these parameters significantly impact an agent's performance and learning efficiency. Dynamic adjustment of hyperparameters during the training process can significantly enh
Externí odkaz:
http://arxiv.org/abs/2408.15421
Autor:
Eivazi, Hamidreza, Alikhani, Mahyar, Tröger, Jendrik-Alexander, Wittek, Stefan, Hartmann, Stefan, Rausch, Andreas
Multiscale problems are widely observed across diverse domains in physics and engineering. Translating these problems into numerical simulations and solving them using numerical schemes, e.g. the finite element method, is costly due to the demand of
Externí odkaz:
http://arxiv.org/abs/2405.13759
Autor:
Di Cataldo, Angelo, Eivazi, Hamed, Aiello, Giuseppe, Patti, Dario, Scelba, Giacomo, Cacciato, Mario, Gennaro, Francesco
This paper presents the design of an 800 V 11 kVA three-level three-phase active neutral point clamped inverter, utilizing 650 V gallium nitride enhancement-mode high-electron-mobility transistors, to evaluate its feasibility in electric traction sys
Externí odkaz:
http://arxiv.org/abs/2406.15624
Operator learning provides methods to approximate mappings between infinite-dimensional function spaces. Deep operator networks (DeepONets) are a notable architecture in this field. Recently, an extension of DeepONet based on model reduction and neur
Externí odkaz:
http://arxiv.org/abs/2403.18735
Autor:
Mohsen Safaei, Razieh Souri, Saba Siabani, Motahare Ahmadvand, Ladan Jamshidy, Ling Shing Wong, Fang Li, Masoome Eivazi
Publikováno v:
Pharmacia, Vol 71, Iss , Pp 1-8 (2024)
Objectives: The research sought to examine the antibacterial properties of the conditioned media derived from dental pulp mesenchymal stem cells (DPSC) that were treated with curcumin. Methods: An investigation of the physicochemical characteristics
Externí odkaz:
https://doaj.org/article/c29da2f264ee4c56b56d585d75b3ce69
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Introduction Early detection of cancer is a highly effective way to decrease cancer-related deaths. The purpose of this study was to determine the disparity in cognitive factors related to cancer screening uptake based on the theory of plann
Externí odkaz:
https://doaj.org/article/4c8ae184202b4916b57e81b6ef58a270
Autor:
Sánchez-Roncero, Alejandro, Garibo-i-Ortsa, Òscar, Conejero, J. Alberto, Eivazi, Hamidreza, Mallor, Fermín, Rosenberg, Emelie, Fuso-Nerini, Francesco, García-Martínez, Javier, Vinuesa, Ricardo, Hoyas, Sergio
The 2030 Agenda of the United Nations (UN) revolves around the Sustainable Development Goals (SDGs). A critical step towards that objective is identifying whether scientific production aligns with the SDGs' achievement. To assess this, funders and re
Externí odkaz:
http://arxiv.org/abs/2211.02409
Training recurrent neural networks is predominantly achieved via backpropagation through time (BPTT). However, this algorithm is not an optimal solution from both a biological and computational perspective. A more efficient and biologically plausible
Externí odkaz:
http://arxiv.org/abs/2209.15502
Autor:
Zahra Eivazi Zadeh, Shirin Nour, Sogol Kianersi, Farinaz Jonidi Shariatzadeh, Richard J. Williams, David R. Nisbet, Kiara F. Bruggeman
Publikováno v:
iScience, Vol 27, Iss 8, Pp 110307- (2024)
Summary: Neural diseases are challenging to treat and are regarded as one of the major causes of disability and morbidity in the world. Stem cells can provide a solution, by offering a mechanism to replace damaged circuitry. However, obtaining suffic
Externí odkaz:
https://doaj.org/article/cac95149bd6c47eaa3c077cca0ccb1ee