Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Hameed Mohammed. A."'
For run sizes that are a multiple of four, the literature offers many two-level designs that are D- and A-optimal for the main-effects model and minimize the aliasing between main effects and interaction effects and among interaction effects. For run
Externí odkaz:
http://arxiv.org/abs/2409.13336
Autor:
Hameed, Mohammed S., Ammar, Saad H., Al-Mamoori, Ahmed, Al-Najjar, Shahad Z., Jabbar, Zaid H.
Publikováno v:
In Materials Science in Semiconductor Processing September 2024 180
Autor:
Hameed, Mohammed Adnan, Kaaya, Ismail, Al-Jbori, Mudhafar, Matti, Qais, Scheer, Roland, Gottschalg, Ralph
Publikováno v:
In Renewable Energy July 2024 228
Autor:
Hameed, Mohammed Majeed, Mohd Razali, Siti Fatin, Wan Mohtar, Wan Hanna Melini, Ahmad Alsaydalani, Majed Omar, Yaseen, Zaher Mundher
Publikováno v:
In Heliyon 15 January 2024 10(1)
Autor:
Hameed, Mohammed Fareed1 dr.mohammed.fared@nahrainuniv.edu.iq, Al-Qrimli, Ayah F.2
Publikováno v:
Pharmaceutical & Biomedical Research. Jun2024, Vol. 10 Issue 2, p157-165. 9p.
Autor:
Hameed, Mohammed Adnan1,2,3 (AUTHOR) david.dassler@csp.fraunhofer.de, Daßler, David3 (AUTHOR) ralph.gottschalg@csp.fraunhofer.de, Alias, Qais Matti4 (AUTHOR) 30005@uotechnology.edu.iq, Scheer, Roland2 (AUTHOR), Gottschalg, Ralph3 (AUTHOR)
Publikováno v:
Energies (19961073). Jun2024, Vol. 17 Issue 11, p2652. 18p.
Autor:
Hameed, Mohammed Majeed1,2 (AUTHOR) mohmmag1@gmail.com, Masood, Adil3 (AUTHOR), Srivastava, Aman4 (AUTHOR), Abd Rahman, Norinah5,6 (AUTHOR), Mohd Razali, Siti Fatin5,6 (AUTHOR), Salem, Ali7,8 (AUTHOR) salem.ali@mik.pte.hu, Elbeltagi, Ahmed9 (AUTHOR)
Publikováno v:
Scientific Reports. 5/14/2024, Vol. 14 Issue 1, p1-20. 20p.
This paper introduces a novel combination of scheduling control on a flexible robot manufacturing cell with curiosity based reinforcement learning. Reinforcement learning has proved to be highly successful in solving tasks like robotics and schedulin
Externí odkaz:
http://arxiv.org/abs/2011.08743
Reinforcement learning (RL) is increasingly adopted in job shop scheduling problems (JSSP). But RL for JSSP is usually done using a vectorized representation of machine features as the state space. It has three major problems: (1) the relationship be
Externí odkaz:
http://arxiv.org/abs/2009.03836
This paper presents a novel neural network training approach for faster convergence and better generalization abilities in deep reinforcement learning. Particularly, we focus on the enhancement of training and evaluation performance in reinforcement
Externí odkaz:
http://arxiv.org/abs/2005.12108