Zobrazeno 1 - 10
of 551
pro vyhledávání: '"A. Medghalchi"'
Autor:
Reclik, Tom, Medghalchi, Setareh, Schumacher, Philipp, Wollenweber, Maximilian, Al-Samman, Talal, Korte-Kerzel, Sandra, Kerzel, Ulrich
Scanning Electron Microscopy (SEM) is pivotal in revealing intricate micro- and nanoscale features across various research fields. However, obtaining high-resolution SEM images presents challenges, including prolonged scanning durations and potential
Externí odkaz:
http://arxiv.org/abs/2410.03746
Publikováno v:
Fanāvarī-i āmūzish, Vol 14, Iss 3, Pp 707-722 (2020)
Background and Objectives: The figural patterns have a unique capacity to enhance functional thinking. The patterns generalization in school mathematics is considered as a way to promote functional thinking. Variable is one of the concepts in pattern
Externí odkaz:
https://doaj.org/article/bcc5c85afad74ec396af5dc46de0f5f2
The effectiveness of Deep Neural Networks (DNNs) heavily relies on the abundance and accuracy of available training data. However, collecting and annotating data on a large scale is often both costly and time-intensive, particularly in medical cases
Externí odkaz:
http://arxiv.org/abs/2403.16335
Autor:
Medghalchi, Setareh, Kortmann, Joscha, Lee, Sang-Hyeok, Karimi, Ehsan, Kerzel, Ulrich, Korte-Kerzel, Sandra
Many properties of commonly used materials are driven by their microstructure, which can be influenced by the composition and manufacturing processes. To optimise future materials, understanding the microstructure is critically important. Here, we pr
Externí odkaz:
http://arxiv.org/abs/2401.01147
Autor:
Medghalchi, Bahareh, Vogel, Andreas
Automated event detection has emerged as one of the fundamental practices to monitor the behavior of technical systems by means of sensor data. In the automotive industry, these methods are in high demand for tracing events in time series data. For a
Externí odkaz:
http://arxiv.org/abs/2310.10841
This study investigates the robustness of image classifiers to text-guided corruptions. We utilize diffusion models to edit images to different domains. Unlike other works that use synthetic or hand-picked data for benchmarking, we use diffusion mode
Externí odkaz:
http://arxiv.org/abs/2304.02963
Autor:
Medghalchi, Setareh, Zubair, Muhammad, Karimi, Ehsan, Sandlöbes-Haut, Stefanie, Kerzel, Ulrich, Korte-Kerzel, Sandra
We study a cast Mg-4.65Al-2.82Ca alloy with a microstructure containing $\alpha$-Mg matrix reinforced with a C36 Laves phase skeleton. Such ternary alloys are targeted for elevated temperature applications in automotive engines since they possess exc
Externí odkaz:
http://arxiv.org/abs/2303.10477
Autor:
Medghalchi, Setareh, Karimi, Ehsan, Lee, Sang-Hyeok, Berkels, Benjamin, Kerzel, Ulrich, Korte-Kerzel, Sandra
High performance sheet metals with a multi-phase microstructure suffer from deformation induced damage formation during forming in the constituent phases but importantly also where these intersect. To capture damage in terms of the physical processes
Externí odkaz:
http://arxiv.org/abs/2303.05869
Autor:
Saadatnejad, Saeed, Rasekh, Ali, Mofayezi, Mohammadreza, Medghalchi, Yasamin, Rajabzadeh, Sara, Mordan, Taylor, Alahi, Alexandre
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlusions. To address these challenges, we propose a diffusion-based appro
Externí odkaz:
http://arxiv.org/abs/2210.05669
Publikováno v:
برنامهریزی توسعه شهری و منطقهای, Vol 9, Iss 29, Pp 69-111 (2024)
The challenge of determining the most appropriate method for spatial analysis has long captivated the attention of researchers. Many spatial studies rely solely on either quantitative or qualitative research methods and techniques, yielding insights
Externí odkaz:
https://doaj.org/article/9d4f6e51461f43e4bcee08302ab62c6f