Zobrazeno 1 - 10
of 252
pro vyhledávání: '"artificial intelligence models"'
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
The growing microbial resistance to traditional medicines necessitates in-depth analysis of medicine-microbe interactions (MMIs) to develop new therapeutic strategies. Widely used artificial intelligence models are limited by sparse observational dat
Externí odkaz:
https://doaj.org/article/d45fac329f00499097b4c5cf009e83e7
Autor:
Tejera-Nevado Paloma, Serrano Emilio, González-Herrero Ana, Bermejo Rodrigo, Rodríguez-González Alejandro
Publikováno v:
Journal of Integrative Bioinformatics, Vol 21, Iss 2, Pp 377-404 (2024)
Protein structure determination has made progress with the aid of deep learning models, enabling the prediction of protein folding from protein sequences. However, obtaining accurate predictions becomes essential in certain cases where the protein st
Externí odkaz:
https://doaj.org/article/9df33222d2684786b890b463d6a7344f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-6 (2024)
Abstract With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. Artificial intelligence models (AIs) like Gemini (Bard), Copilot (Bing), and ChatGPT-3.5 have the potential to impact every aspect of our liv
Externí odkaz:
https://doaj.org/article/abe4550883ad4d99833663b0bbbe09cd
Autor:
Stepan Mezhov, Maxim Krayushkin
Publikováno v:
Proceedings of the International Conference on Applied Innovations in IT, Vol 12, Iss 1, Pp 181-187 (2024)
At the moment, there are no universal tools for forecasting indicators of socio-economic development in general and demographic in particular. However, the amount of budget allocations that are directed to solving personnel issues, creating social fa
Externí odkaz:
https://doaj.org/article/97c6151b3df343aeb51493c36800fe66
Publikováno v:
Tạp chí Khoa học và Công nghệ, Pp 13-19 (2024)
Accurately predicting the compressive strength of foamed concrete plays a key role in the wide application of foamed concrete in practice. This study investigates the performance of the six AI models in estimating the compressive strength of foamed c
Externí odkaz:
https://doaj.org/article/3d3338d097d8482d9dfc5293d1a701db
Publikováno v:
Mathematics, Vol 11, Iss 23, p 4758 (2023)
Stock prediction has garnered considerable attention among investors, with a recent focus on the application of machine learning techniques to enhance predictive accuracy. Prior research has established the effectiveness of machine learning in foreca
Externí odkaz:
https://doaj.org/article/ec3cff8f6b5744419968dda2d103a5a0
Publikováno v:
Grey Systems: Theory and Application, 2020, Vol. 11, Issue 4, pp. 571-595.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/GS-08-2020-0101
Autor:
Pavlos Nikolaidis, Andreas Poullikkas
Publikováno v:
Eng, Vol 2, Iss 4, Pp 643-660 (2021)
The variability and uncertainty caused by the increased penetrations of renewable energy sources must be properly considered in day-ahead unit commitment, optimal power flow, and even real-time economic dispatch problems. Besides achieving minimum co
Externí odkaz:
https://doaj.org/article/5a5c5a121cd84a67958cfad05952ebe4
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.