Zobrazeno 1 - 10
of 45 028
pro vyhledávání: '"Kadhim A."'
Publikováno v:
Water Science and Technology, Vol 89, Iss 5, Pp 1418-1418 (2024)
Externí odkaz:
https://doaj.org/article/c76a0e2d8918476eab946463b4dfc0b7
Autor:
Mohamed Saad Hadi, Haider M. Mekkiyah
Publikováno v:
Journal of Engineering, Vol 29, Iss 1 (2023)
The study focuses on the causes of minaret tilting as well as possible solutions. The major aims of this study are to improve knowledge of historical tall structure stability and rehabilitation operations using the finite element approach to model th
Externí odkaz:
https://doaj.org/article/4a8177074e8a400ab292973eac817011
In this research, we define two concepts; random matrix and mean square stability. Studying the stability of solutions for perturbed random differential systems is included. Partial moments of the second order were verified, which determines the stab
Externí odkaz:
http://arxiv.org/abs/2411.04929
Autor:
Israa Kadhim, Fanar M. Abed
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 8, p 552 (2021)
The authors would like to make the following corrections to the published paper [...]
Externí odkaz:
https://doaj.org/article/c01861064e1a4994bdeb35ec99f9c60f
Publikováno v:
Refereed Journal of Northern Europe Academy for Studies & Research (Denmark). 2021, Issue 12, p134-146. 13p.
Autor:
Haider Kadhim
Publikováno v:
مجلة علوم ذي قار, Vol 2, Iss 1 (2019)
The diffraction efficiency of small- angle Bragg diffraction for three crystals different properties (KRS5, PbMo02, and LiNb03) has been investigated, respectively. The results have shown that, the change in the magnitude of diffraction efficiency by
Externí odkaz:
https://doaj.org/article/d3d68e9a379f491a916dbbdbbf022c6d
Autor:
Jebur, Sabah Abdulazeez, Hussein, Khalid A., Hoomod, Haider Kadhim, Alzubaidi, Laith, Saihood, Ahmed Ali, Gu, YuanTong
Anomaly detection in videos is challenging due to the complexity, noise, and diverse nature of activities such as violence, shoplifting, and vandalism. While deep learning (DL) has shown excellent performance in this area, existing approaches have st
Externí odkaz:
http://arxiv.org/abs/2408.00792
The Tsetlin Machine (TM) has gained significant attention in Machine Learning (ML). By employing logical fundamentals, it facilitates pattern learning and representation, offering an alternative approach for developing comprehensible Artificial Intel
Externí odkaz:
http://arxiv.org/abs/2407.09162
Autor:
Shahriar, Sakib, Lund, Brady, Mannuru, Nishith Reddy, Arshad, Muhammad Arbab, Hayawi, Kadhim, Bevara, Ravi Varma Kumar, Mannuru, Aashrith, Batool, Laiba
As large language models (LLMs) continue to advance, evaluating their comprehensive capabilities becomes significant for their application in various fields. This research study comprehensively evaluates the language, vision, speech, and multimodal c
Externí odkaz:
http://arxiv.org/abs/2407.09519
Autor:
Halenka, Vojtech, Kadhim, Ahmed K., Clarke, Paul F. A., Bhattarai, Bimal, Saha, Rupsa, Granmo, Ole-Christoffer, Jiao, Lei, Andersen, Per-Arne
Tsetlin machines (TMs) have been successful in several application domains, operating with high efficiency on Boolean representations of the input data. However, Booleanizing complex data structures such as sequences, graphs, images, signal spectra,
Externí odkaz:
http://arxiv.org/abs/2406.02648