Zobrazeno 1 - 10
of 3 187
pro vyhledávání: '"Mousavi, S A"'
Recently, the phase field method has been increasingly used for brittle fractures in soft materials like polymers, elastomers, and biological tissues. When considering finite deformations to account for the highly deformable nature of soft materials,
Externí odkaz:
http://arxiv.org/abs/2408.05162
Autor:
Mousavi, S. M. Hossein, Besenzoni, Matteo, Andreoletti, Davide, Peternier, Achille, Giordano, Silvia
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount importance to enhance users experience. However, several issues are hi
Externí odkaz:
http://arxiv.org/abs/2407.09110
The bottleneck of alloy design for powder-based additive manufacturing (AM) resides in powder production-an expensive and time-consuming process hindering the rapid closed-loop design iterations. This study analyzed an expedited experimental workflow
Externí odkaz:
http://arxiv.org/abs/2407.06138
Autor:
Taheri-Mousavi, S. Mohadeseh, Xu, Michael, Hengsbach, Florian, Houser, Clay, Ge, Zhaoxuan, Glaser, Benjamin, Wei, Shaolou, Schaper, Mikro, LeBeau, James M., Olson, Greg B., Hart, A. John
Additively manufactured (AM) structural components with complex geometries and tailored properties at voxel-size resolution will lead to significant leap in performance in various critical engineering applications. However, at each voxel, we first ne
Externí odkaz:
http://arxiv.org/abs/2406.17457
Autor:
Mousavi, S. Mostafa, Stogaitis, Marc, Gadh, Tajinder, Allen, Richard M, Barski, Alexei, Bosch, Robert, Robertson, Patrick, Thiruverahan, Nivetha, Cho, Youngmin, Raj, Aman
This paper presents a novel approach to extract scientifically valuable information about Earth's physical phenomena from unconventional sources, such as multi-modal social media posts. Employing a state-of-the-art large language model (LLM), Gemini
Externí odkaz:
http://arxiv.org/abs/2405.18732
Autor:
Mousavi, S. V.
Taking a system of two coupled qubits described by a X-shaped state and interacting through an anisotropic Heisenberg XY interaction, we examine the evolution of quantum entanglement and a few quantum correlations beyond entanglement, local quantum u
Externí odkaz:
http://arxiv.org/abs/2402.04086
Autor:
Sobek, Joseph, Inojosa, Jose R. Medina, Inojosa, Betsy J. Medina, Rassoulinejad-Mousavi, S. M., Conte, Gian Marco, Lopez-Jimenez, Francisco, Erickson, Bradley J.
Artificial intelligence-enhanced identification of organs, lesions, and other structures in medical imaging is typically done using convolutional neural networks (CNNs) designed to make voxel-accurate segmentations of the region of interest. However,
Externí odkaz:
http://arxiv.org/abs/2312.07729
Autor:
Rabiee, Pedram, Mousavi, S. Alireza Seyyed, Sheffler, Amelia J. S., Hellström, Erik, Jankovic, Mrdjan, Santillo, Mario A., Seigler, T. M., Hoagg, Jesse B.
This article presents results from an experiment in which 44 human subjects interact with a dynamic system to perform 40 trials of a command-following task. The reference command is unpredictable and different on each trial, but all subjects have the
Externí odkaz:
http://arxiv.org/abs/2308.15633
Autor:
Mousavi, S. V., Miret-Artés, S.
Publikováno v:
Symmetry 15(6), 1184 (2023)
In this work, we proposed a smooth transition wave equation from a quantum to classical regime in the framework of von Neumann formalism for ensembles and then obtained an equivalent scaled equation. This led us to develop a scaled statistical theory
Externí odkaz:
http://arxiv.org/abs/2306.01130
Autor:
Mousavi, S. Muhammad Hossein
Accurate detection of brain tumors could save lots of lives and increasing the accuracy of this binary classification even as much as a few percent has high importance. Neural Gas Networks (NGN) is a fast, unsupervised algorithm that could be used in
Externí odkaz:
http://arxiv.org/abs/2301.12176