Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Reza Saleh"'
Publikováno v:
JPPI (Jurnal Penelitian Pendidikan Indonesia), Vol 9, Iss 1, Pp 114-124 (2023)
This study aims to analyze the effectiveness of Tax Service Offices’ leaders in the era of economic turbulence. Tax Service Office provides counseling, services, and supervision to Taxpayers. As public organizations, Tax Service Offices can become
Externí odkaz:
https://doaj.org/article/c35bb5c5868047c388a8d9aaac56b8b1
Considering the growing prominence of production-level AI and the threat of adversarial attacks that can evade a model at run-time, evaluating the robustness of models to these evasion attacks is of critical importance. Additionally, testing model ch
Externí odkaz:
http://arxiv.org/abs/2409.07609
Autor:
Sedghpour, Mohammad Reza Saleh, Papadopoulos, Alessandro Vittorio, Klein, Cristian, Tordsson, Johan
Although repeatability and reproducibility are essential in science, failed attempts to replicate results across diverse fields made some scientists argue for a reproducibility crisis. In response, several high-profile venues within computing establi
Externí odkaz:
http://arxiv.org/abs/2406.13045
Autor:
Emran Khoshrouye Ghiasi, Reza Saleh
Publikováno v:
Results in Physics, Vol 11, Iss , Pp 65-71 (2018)
This article focuses on the 2D flow of an incompressible Casson fluid over an unsteady shrinking horizontal sheet under inclined Lorentz force and Joule heating. The governing partial differential equations (PDEs), which account for the effect of Buo
Externí odkaz:
https://doaj.org/article/eceb4c8104dd40ca925ded7b6943b136
Autor:
Reza Saleh Ahari
Publikováno v:
رویکردهای نوین در مهندسی عمران, Vol 2, Iss 2, Pp 1-10 (2018)
In previous studies, it has been found that utilization of various supplementary cementations materials has significant effect on rheological properties of self-consolidating concrete. The present study aims to extend the role of water film thickness
Externí odkaz:
https://doaj.org/article/e50ebe6dd20f4d348cc2b6f879ab3ff1
Machine learning models -- deep neural networks in particular -- have performed remarkably well on benchmark datasets across a wide variety of domains. However, the ease of finding adversarial counter-examples remains a persistent problem when traini
Externí odkaz:
http://arxiv.org/abs/2401.13751
Publikováno v:
Earth Science Informatics, 1-21 (2024)
The increasing availability of hydrological and physiographic spatiotemporal data has boosted machine learning's role in rapid flood mapping. Yet, data scarcity, especially high-resolution DEMs, challenges regions with limited access. This paper exam
Externí odkaz:
http://arxiv.org/abs/2309.13360
Autor:
Reza Saleh Jalali, Emran Shadafza
Publikováno v:
Civil Engineering Infrastructures Journal, Vol 49, Iss 1, Pp 21-32 (2016)
The present paper offers a meso-scale numerical model to investigate the effects of random distribution of aggregate particles and steel fibers on the elastic modulus of Steel Fiber Reinforced Concrete (SFRC). Meso-scale model distinctively models co
Externí odkaz:
https://doaj.org/article/7651497d8f2e4f5abfbbbf078674560e
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Gardishgarī, Vol 9, Iss 28, Pp 95-113 (2016)
In recent years, knowledge creation and knowledge management have become dominant factors for organizations competitiveness and organizational performance and success. Successful organizations are those that consistently create new knowledge, dissemi
Externí odkaz:
https://doaj.org/article/649fea2b0c804893be5f6ad4cb92b897
Publikováno v:
نشریه مهندسی دریا, Vol 10, Iss 20, Pp 51-59 (2015)
In this study, Plasma Electrolytic Oxidation (PEO) technique was used for generating ceramic layer on the surface of aluminum alloy AA2024-T6 and the effect of coating time on the electrochemical corrosion behavior, micro-hardness, morphology of coat
Externí odkaz:
https://doaj.org/article/afe8489385a042219d757ea9678e463c