Zobrazeno 1 - 10
of 670
pro vyhledávání: '"P Arsham"'
Classifying different types of solar wind plasma with uncertainty estimations using machine learning
Decades of in-situ solar wind measurements have clearly established the variation of solar wind physical parameters. These variable parameters have been used to classify the solar wind magnetized plasma into different types leading to several classif
Externí odkaz:
http://arxiv.org/abs/2409.09230
Autor:
Khoee, Arsham Gholamzadeh, Yu, Yinan, Feldt, Robert, Freimanis, Andris, Rhodin, Patrick Andersson, Parthasarathy, Dhasarathy
Traditional methods for making software deployment decisions in the automotive industry typically rely on manual analysis of tabular software test data. These methods often lead to higher costs and delays in the software release cycle due to their la
Externí odkaz:
http://arxiv.org/abs/2408.09785
Empirical complex systems are widely assumed to be characterized not only by pairwise interactions, but also by higher-order (group) interactions that affect collective phenomena, from metabolic reactions to epidemics. Nevertheless, higher-order netw
Externí odkaz:
http://arxiv.org/abs/2404.08547
Deep neural networks (DNNs) have revolutionized artificial intelligence but often lack performance when faced with out-of-distribution (OOD) data, a common scenario due to the inevitable domain shifts in real-world applications. This limitation stems
Externí odkaz:
http://arxiv.org/abs/2404.02785
Autor:
Farzinnia, Arsham, Boon, Corine
Investigating the optimal nature of social interactions among generic actors (e.g., people or firms), aiming to achieve specifically-agreed objectives, has been the subject of extensive academic research. Using the relational models theory - comprehe
Externí odkaz:
http://arxiv.org/abs/2402.18764
Autor:
Artime, Oriol, Benigni, Barbara, Bertagnolli, Giulia, d'Andrea, Valeria, Gallotti, Riccardo, Ghavasieh, Arsham, Raimondo, Sebastian, De Domenico, Manlio
Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of the field dealing with units interacting in multiple distinct ways, si
Externí odkaz:
http://arxiv.org/abs/2401.04589
Autor:
Zhong, Xinchao, Ma, Sean Longyu, Chou, Hong-fu, Mostaani, Arsham, Vu, Thang X., Chatzinotas, Symeon
The goal of semantic communication is to surpass optimal Shannon's criterion regarding a notable problem for future communication which lies in the integration of collaborative efforts between the intelligence of the transmission source and the joint
Externí odkaz:
http://arxiv.org/abs/2310.01024
The human brain constantly learns and rapidly adapts to new situations by integrating acquired knowledge and experiences into memory. Developing this capability in machine learning models is considered an important goal of AI research since deep neur
Externí odkaz:
http://arxiv.org/abs/2306.04410
With countless promising applications in various domains such as IoT and industry 4.0, task-oriented communication design (TOCD) is getting accelerated attention from the research community. This paper presents a novel approach for designing scalable
Externí odkaz:
http://arxiv.org/abs/2305.08481
Autor:
Ghavasieh, Arsham, De Domenico, Manlio
Empirical complex systems must differentially respond to external perturbations and, at the same time, internally distribute information to coordinate their components. While networked backbones help with the latter, they limit the components' indivi
Externí odkaz:
http://arxiv.org/abs/2305.05975