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pro vyhledávání: '"A. Haghighi"'
Autor:
A. Haghighi
Publikováno v:
Iranian Journal of Numerical Analysis and Optimization, Vol 13, Iss 2, Pp 285-316 (2023)
The main goal of this work is to develop and analyze an accurate trun-cated stochastic Runge–Kutta (TSRK2) method to obtain strong numeri-cal solutions of nonlinear one-dimensional stochastic differential equations (SDEs) with continuous Hölder di
Externí odkaz:
https://doaj.org/article/17acc3d399284aea9929485c0a774e5a
Publikováno v:
Iranian Journal of Numerical Analysis and Optimization, Vol 12, Iss 1, Pp 201-227 (2022)
We offer a method for solving the fractional optimal control problems of multi-dimensional. We obtain a fractional derivative and multiplication operational matrix for Mott polynomials (M-polynomials). In the proposed method, the Caputo sense of the
Externí odkaz:
https://doaj.org/article/d476748c2d394192b5943249b1d007ed
Publikováno v:
مجله علوم و فنون هستهای, Vol 42, Iss 4, Pp 44-53 (2021)
The gas behavior within a centrifuge machine can be divided into molecular and continuum. The Boltzmann equation is an accurate method for studying the behavior of gas in all areas of a centrifuge. DSMC is one of the methods for solving the Boltzmann
Externí odkaz:
https://doaj.org/article/af4a67baf05f4c66819127689d0b2520
Autor:
Sabouri, Sadra, Haghighi, Sepand
Long sessions of computer use introduce physical and mental health risks, particularly for programmers and intensive computer users. Breathing exercises can improve focus, reduce stress, and overall well-being. However, existing tools for such practi
Externí odkaz:
http://arxiv.org/abs/2412.04667
Together with industry experts, we are exploring the potential of head-mounted augmented reality to facilitate safety inspections on high-rise construction sites. A particular concern in the industry is inspecting perimeter safety screens on higher l
Externí odkaz:
http://arxiv.org/abs/2412.01273
Autor:
Lourenço, Maicon Pierre, Naseri, Mosayeb, Herrera, Lizandra Barrios, Zadeh-Haghighi, Hadi, Gaur, Daya, Simon, Christoph, Salahub, Dennis R.
Active learning (AL) has been widely applied in chemistry and materials science. In this work we propose a quantum active learning (QAL) method for automatic structural determination of doped nanoparticles, where quantum machine learning (QML) models
Externí odkaz:
http://arxiv.org/abs/2412.00504
Autor:
Haghighi, Yasaman, Demonsant, Celine, Chalimourdas, Panagiotis, Naeini, Maryam Tavasoli, Munoz, Jhon Kevin, Bacca, Bladimir, Suter, Silvan, Gani, Matthieu, Alahi, Alexandre
In this paper, we introduce HEADS-UP, the first egocentric dataset collected from head-mounted cameras, designed specifically for trajectory prediction in blind assistance systems. With the growing population of blind and visually impaired individual
Externí odkaz:
http://arxiv.org/abs/2409.20324
Autor:
Skalli, Anas, Goldmann, Mirko, Haghighi, Nasibeh, Reitzenstein, Stephan, Lott, James A., Brunner, Daniel
Artificial neural networks (ANNs) represent a fundamentally connectionnist and distributed approach to computing, and as such they differ from classical computers that utilize the von Neumann architecture. This has revived research interest in new un
Externí odkaz:
http://arxiv.org/abs/2409.01042
Autor:
Herten, Andreas, Achilles, Sebastian, Alvarez, Damian, Badwaik, Jayesh, Behle, Eric, Bode, Mathis, Breuer, Thomas, Caviedes-Voullième, Daniel, Cherti, Mehdi, Dabah, Adel, Sayed, Salem El, Frings, Wolfgang, Gonzalez-Nicolas, Ana, Gregory, Eric B., Mood, Kaveh Haghighi, Hater, Thorsten, Jitsev, Jenia, John, Chelsea Maria, Meinke, Jan H., Meyer, Catrin I., Mezentsev, Pavel, Mirus, Jan-Oliver, Nassyr, Stepan, Penke, Carolin, Römmer, Manoel, Sinha, Ujjwal, Vieth, Benedikt von St., Stein, Olaf, Suarez, Estela, Willsch, Dennis, Zhukov, Ilya
Publikováno v:
2024 SC24: International Conference for High Performance Computing, Networking, Storage and Analysis SC
Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real applications that represent user requirements into benchmark suites, to gua
Externí odkaz:
http://arxiv.org/abs/2408.17211
Additive manufacturing (AM) technologies have undergone significant advancements through the integration of cooperative robotics additive manufacturing (C-RAM) platforms. By deploying AM processes on the end effectors of multiple robotic arms, not on
Externí odkaz:
http://arxiv.org/abs/2408.04827