Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Ajagekar, Akshay"'
Publikováno v:
Computers & Chemical Engineering, Volume 187, August 2024, 108723
This article explores how emerging generative artificial intelligence (GenAI) models, such as large language models (LLMs), can enhance solution methodologies within process systems engineering (PSE). These cutting-edge GenAI models, particularly fou
Externí odkaz:
http://arxiv.org/abs/2402.10977
Autor:
Pistoia, Marco, Ahmad, Syed Farhan, Ajagekar, Akshay, Buts, Alexander, Chakrabarti, Shouvanik, Herman, Dylan, Hu, Shaohan, Jena, Andrew, Minssen, Pierre, Niroula, Pradeep, Rattew, Arthur, Sun, Yue, Yalovetzky, Romina
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the first indust
Externí odkaz:
http://arxiv.org/abs/2109.04298
Publikováno v:
In Applied Energy 1 February 2024 355
Autor:
Ajagekar, Akshay, You, Fengqi
Publikováno v:
Comp. Chem. Eng., 143 (2020), pp. 107119
Quantum computing (QC) and deep learning techniques have attracted widespread attention in the recent years. This paper proposes QC-based deep learning methods for fault diagnosis that exploit their unique capabilities to overcome the computational c
Externí odkaz:
http://arxiv.org/abs/2003.00264
Autor:
Ajagekar, Akshay, You, Fengqi
Publikováno v:
Energy, Volume 179, Pages 76-89 (2019)
The purpose of this paper is to explore the applications of quantum computing to energy systems optimization problems and discuss some of the challenges faced by quantum computers with techniques to overcome them. The basic concepts underlying quantu
Externí odkaz:
http://arxiv.org/abs/2003.00254
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite different from that of classical computers in terms of speed and methods of operations. This paper proposes hybrid models and methods that effectively leverage
Externí odkaz:
http://arxiv.org/abs/1910.13045
Publikováno v:
In Applied Energy 15 July 2023 342