Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ali Jaber Almalki"'
Autor:
Ali Jaber Almalki
Publikováno v:
IEEE Access, Vol 12, Pp 187027-187040 (2024)
In the energy sector, electricity theft presents serious financial and security risks. By fusing supervised learning models (Random Forest) with unsupervised learning algorithms (Isolation Forest, One-Class Support Vector Machine (SVM), Local Outlier
Externí odkaz:
https://doaj.org/article/a813640f63da43c8803f38bb147c04db
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 7:49-57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d002768bfdc7efe553998da88712af3b
https://doi.org/10.25046/aj070606
https://doi.org/10.25046/aj070606
Publikováno v:
2021 International Conference on Computational Science and Computational Intelligence (CSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7884f1aa466773e1a086a0c07283d049
https://doi.org/10.1109/csci54926.2021.00207
https://doi.org/10.1109/csci54926.2021.00207
Publikováno v:
2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4).
Variational autoencoders are employed to provide a framework for learning deep latent state representation. Inverse autoregressive flow is a type of normalizing flow that is employed to provide strategies for flexible variational inferences of poster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b5b75e53f44ed578374f92ab6981202
https://doi.org/10.1109/worlds451998.2021.9514021
https://doi.org/10.1109/worlds451998.2021.9514021
Autor:
Ali Jaber Almalki, Pawel Wocjan
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Transactions on Computational Science and Computational Intelligence
Transactions on Computational Science and Computational Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89330bcbfed1338f6c9162a7a35965b4
https://doi.org/10.1007/978-3-030-70296-0_8
https://doi.org/10.1007/978-3-030-70296-0_8
Autor:
Pawel Wocjan, Ali Jaber Almalki
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
In this research, the world model has a modified RNN model carried out by a bi-directional gated recurrent unit (BGRU) as opposed to a traditional long short-term memory (LSTM) model. BGRU tends to use less memory while executing and training faster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fb1dcce3a1f87b5d73ea184e6c35786
https://doi.org/10.1109/csci51800.2020.00096
https://doi.org/10.1109/csci51800.2020.00096
Autor:
Ali Jaber Almalki, Pawel Wocjan
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
In this research, we explore the hypothesis that Reinforcement Learning applications are not amenable to conduct close analysis. With the combination of Deep Reinforcement Learning and neural network, the snake game agent is trained. The dependences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f03be4c6a3b501751bb1c4b32ec8ec9
https://doi.org/10.1109/csci49370.2019.00073
https://doi.org/10.1109/csci49370.2019.00073