Zobrazeno 1 - 10
of 78 161
pro vyhledávání: '"Nadkarni A"'
Autor:
Logan, Alan C.1 (AUTHOR) alanxlogan@gmail.com, Nadkarni, Nalini M.2 (AUTHOR)
Publikováno v:
Challenges (20781547). Dec2022, Vol. 13 Issue 2, p61. 15p.
Autor:
Katalin Fábian
Publikováno v:
Hungarian Cultural Studies, Vol 16 (2023)
Externí odkaz:
https://doaj.org/article/df005fb3f07c4640ad8cd83d24dd4493
Autor:
Alan C. Logan, Nalini M. Nadkarni
Publikováno v:
Challenges, Vol 13, Iss 2, p 61 (2022)
In the ongoing series of Nova Interviews, Challenges Advisory Board member Alan C. Logan meets with thought leaders, scientists, scholars, healthcare professionals, artisans and visionaries concerned about health at the scales of persons, places, and
Externí odkaz:
https://doaj.org/article/c33e2f4f9fe04354966b81cd866280fc
Autor:
Verdier, James M1 (AUTHOR)
Publikováno v:
BioScience. Dec2021, Vol. 71 Issue 12, p1208-1215. 8p.
Decentralized Finance (DeFi) has revolutionized lending by replacing intermediaries with algorithm-driven liquidity pools. However, existing platforms like Aave and Compound rely on static interest rate curves and collateral requirements that struggl
Externí odkaz:
http://arxiv.org/abs/2410.13105
Capturing the correct dynamics at the Coarse-Grained (CG) scale remains a central challenge in the advancement of systematic CG models for soft matter simulations. The Generalized Langevin Equation (GLE), rooted in the Mori-Zwanzig formalism, provide
Externí odkaz:
http://arxiv.org/abs/2410.08424
We introduce homological measurement, a framework for measuring the logical Pauli operators encoded in CSS stabilizer codes. The framework is based on the algebraic description of such codes as chain complexes. Protocols such as lattice surgery some
Externí odkaz:
http://arxiv.org/abs/2410.02753
Autor:
Ghaffarzadeh-Esfahani, Mohammadreza, Ghaffarzadeh-Esfahani, Mahdi, Salahi-Niri, Arian, Toreyhi, Hossein, Atf, Zahra, Mohsenzadeh-Kermani, Amirali, Sarikhani, Mahshad, Tajabadi, Zohreh, Shojaeian, Fatemeh, Bagheri, Mohammad Hassan, Feyzi, Aydin, Tarighatpayma, Mohammadamin, Gazmeh, Narges, Heydari, Fateme, Afshar, Hossein, Allahgholipour, Amirreza, Alimardani, Farid, Salehi, Ameneh, Asadimanesh, Naghmeh, Khalafi, Mohammad Amin, Shabanipour, Hadis, Moradi, Ali, Zadeh, Sajjad Hossein, Yazdani, Omid, Esbati, Romina, Maleki, Moozhan, Nasr, Danial Samiei, Soheili, Amirali, Majlesi, Hossein, Shahsavan, Saba, Soheilipour, Alireza, Goudarzi, Nooshin, Taherifard, Erfan, Hatamabadi, Hamidreza, Samaan, Jamil S, Savage, Thomas, Sakhuja, Ankit, Soroush, Ali, Nadkarni, Girish, Darazam, Ilad Alavi, Pourhoseingholi, Mohamad Amin, Safavi-Naini, Seyed Amir Ahmad
Background: This study aimed to evaluate and compare the performance of classical machine learning models (CMLs) and large language models (LLMs) in predicting mortality associated with COVID-19 by utilizing a high-dimensional tabular dataset. Materi
Externí odkaz:
http://arxiv.org/abs/2409.02136
Autor:
Kürti, László
Publikováno v:
Region, 2021 Jul 01. 10(2), 307-310.
Externí odkaz:
https://www.jstor.org/stable/27128014
Autor:
Botond Palaczki
Publikováno v:
Hungarian Geographical Bulletin, Vol 70, Iss 3, Pp 287-289 (2021)
Externí odkaz:
https://doaj.org/article/949dd3532edc4ddfb5a5c959378cc653