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Akademický článek
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Akademický článek
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Autor:
Schizas, Ioannis, Sullivan, Sabrina, Kerick, Scott E., Mahmoodi, Korosh, Bradford, J. Cortney, Boothe, David L., Franaszczuk, Piotr J., Grigolini, Paolo, West, Bruce J.
We apply modified diffusion entropy analysis (MDEA) to assess multifractal dimensions of ON time series (ONTS) and complexity synchronization (CS) analysis to infer information transfer among ONs that are part of a network of organ networks (NoONs).
Externí odkaz:
http://arxiv.org/abs/2411.14602
Recent advancements in machine learning, particularly through deep learning architectures like PointNet, have transformed the processing of three-dimensional (3D) point clouds, significantly improving 3D object classification and segmentation tasks.
Externí odkaz:
http://arxiv.org/abs/2411.14585
Hand-face interactions play a key role in many everyday tasks, providing insights into user habits, behaviors, intentions, and expressions. However, existing wearable sensing systems often struggle to track these interactions in daily settings due to
Externí odkaz:
http://arxiv.org/abs/2411.08217
Autor:
Katsaros, Konstantinos, Mavromatis, Ioannis, Antonakoglou, Kostantinos, Ghosh, Saptarshi, Kaleshi, Dritan, Mahmoodi, Toktam, Asgari, Hamid, Karousos, Anastasios, Tavakkolnia, Iman, Safi, Hossein, Hass, Harald, Vrontos, Constantinos, Emami, Amin, Ullauri, Juan Parra, Moazzeni, Shadi, Simeonidou, Dimitra
The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the directi
Externí odkaz:
http://arxiv.org/abs/2411.06870
Autor:
Takaghaj, Sanaz Mahmoodi
The recent success of Vision Transformers has generated significant interest in attention mechanisms and transformer architectures. Although existing methods have proposed spiking self-attention mechanisms compatible with spiking neural networks, the
Externí odkaz:
http://arxiv.org/abs/2411.00140
We introduce a dynamic model for complexity control (CC) between systems, represented by time series characterized by different temporal complexity measures, as indicated by their respective inverse power law (IPL) indices. Given the apparent straigh
Externí odkaz:
http://arxiv.org/abs/2410.18752
Autor:
Darian, Hossein Mahmoodi
In this article, we introduce a new method which allows utilizing all the available sub-stencils of a WENO scheme to increase the accuracy of the numerical solution of conservation laws while preserving the non-oscillatory property of the scheme. In
Externí odkaz:
http://arxiv.org/abs/2410.09502
Time-triggered federated learning, in contrast to conventional event-based federated learning, organizes users into tiers based on fixed time intervals. However, this network still faces challenges due to a growing number of devices and limited wirel
Externí odkaz:
http://arxiv.org/abs/2408.01765