Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Miahi, Erfan"'
Autor:
Janjua, Muhammad Kamran, Shah, Haseeb, White, Martha, Miahi, Erfan, Machado, Marlos C., White, Adam
Publikováno v:
Machine Learning (2023): 1-31
In this paper we investigate the use of reinforcement-learning based prediction approaches for a real drinking-water treatment plant. Developing such a prediction system is a critical step on the path to optimizing and automating water treatment. Bef
Externí odkaz:
http://arxiv.org/abs/2312.01624
Autor:
Wang, Han, Miahi, Erfan, White, Martha, Machado, Marlos C., Abbas, Zaheer, Kumaraswamy, Raksha, Liu, Vincent, White, Adam
In this paper we investigate the properties of representations learned by deep reinforcement learning systems. Much of the early work on representations for reinforcement learning focused on designing fixed-basis architectures to achieve properties t
Externí odkaz:
http://arxiv.org/abs/2203.15955
Autor:
Wang, Han, Miahi, Erfan, White, Martha, Machado, Marlos C., Abbas, Zaheer, Kumaraswamy, Raksha, Liu, Vincent, White, Adam
Publikováno v:
In Artificial Intelligence May 2024 330
In today's digital world, we are faced with an explosion of data and models produced and manipulated by numerous large-scale cloud-based applications. Under such settings, existing transfer evolutionary optimization frameworks grapple with simultaneo
Externí odkaz:
http://arxiv.org/abs/2012.01830
Publikováno v:
Expert Systems with Applications, 2021
Male infertility is a disease which affects approximately 7% of men. Sperm morphology analysis (SMA) is one of the main diagnosis methods for this problem. Manual SMA is an inexact, subjective, non-reproducible, and hard to teach process. As a result
Externí odkaz:
http://arxiv.org/abs/1909.09432
Publikováno v:
In Expert Systems With Applications February 2022 188
Publikováno v:
In Computers in Biology and Medicine January 2021 128
Autor:
Janjua, Muhammad Kamran, Shah, Haseeb, White, Martha, Miahi, Erfan, Machado, Marlos C., White, Adam
Publikováno v:
Machine Learning; Aug2024, Vol. 113 Issue 8, p5151-5181, 31p
Publikováno v:
IEEE Transactions on Cybernetics; October 2023, Vol. 53 Issue: 10 p6160-6172, 13p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.