Zobrazeno 1 - 10
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pro vyhledávání: '"Rahmati Mohammad"'
Evolving networks are complex data structures that emerge in a wide range of systems in science and engineering. Learning expressive representations for such networks that encode their structural connectivity and temporal evolution is essential for d
Externí odkaz:
http://arxiv.org/abs/2408.12753
Recently, significant advancements in artificial intelligence have been attributed to the integration of self-supervised learning (SSL) scheme. While SSL has shown impressive achievements in natural language processing (NLP), its progress in computer
Externí odkaz:
http://arxiv.org/abs/2310.08421
The reliability of a learning model is key to the successful deployment of machine learning in various applications. Creating a robust model, particularly one unaffected by adversarial attacks, requires a comprehensive understanding of the adversaria
Externí odkaz:
http://arxiv.org/abs/2309.17048
Publikováno v:
Journal of Business & Industrial Marketing, 2024, Vol. 39, Issue 9, pp. 2021-2037.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-06-2023-0339
This study presents an adversarial method for anomaly detection in real-world applications, leveraging the power of generative adversarial neural networks (GANs) through cycle consistency in reconstruction error. Previous methods suffer from the high
Externí odkaz:
http://arxiv.org/abs/2304.07769
Publikováno v:
International Journal of Quality & Reliability Management, 2023, Vol. 41, Issue 3, pp. 944-963.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-03-2023-0098
The reliability of a learning model is key to the successful deployment of machine learning in various industries. Creating a robust model, particularly one unaffected by adversarial attacks, requires a comprehensive understanding of the adversarial
Externí odkaz:
http://arxiv.org/abs/2205.13502
Autor:
Naderi, Hanieh, Rahmati, Mohammad
In this paper, we propose a novel motion-compensated frame rate up-conversion (MC-FRUC) algorithm. The proposed algorithm creates interpolated frames by first estimating motion vectors using unilateral (jointing forward and backward) and bilateral mo
Externí odkaz:
http://arxiv.org/abs/2203.03621
Publikováno v:
In Desalination and Water Treatment October 2024 320
Autor:
Rahmati, Mohammad Reza1,2 (AUTHOR) rahmati@cio.mx
Publikováno v:
Mathematics (2227-7390). Jul2024, Vol. 12 Issue 13, p1963. 19p.