Zobrazeno 1 - 10
of 22 513
pro vyhledávání: '"A, Hamidi"'
Autor:
Ahmed, Irshaad, Fiorenza, Alberto, Formica, Maria Rosaria, Gogatishvili, Amiran, Hamidi, Abdallah El
We present some regularity results on the gradient of the weak or entropic-renormalized solution $u$ to the homogeneous Dirichlet problem for the quasilinear equations of the form \begin{equation*}\label{p-laplacian_eq} -{\rm div~}(|\nabla u|^{p-2}\n
Externí odkaz:
http://arxiv.org/abs/2411.00367
Autor:
Hamidi, Shahrokh
The statistical analysis of land clutter for Synthetic Aperture Radar (SAR) imaging has become an increasingly important subject for research and investigation. It is also absolutely necessary for designing robust algorithms capable of performing the
Externí odkaz:
http://arxiv.org/abs/2410.03816
This article proposes a source-independent method for detecting faults along Transmission Lines (TL) to reduce the protection issues arising from Inverter-Based Resources (IBRs). In the proposed method, high-frequency waves are sent from either end o
Externí odkaz:
http://arxiv.org/abs/2409.07439
Autor:
Hamidi, Shayan Mohajer, Bereyhi, Ali
Quantization is a common approach to mitigate the communication cost of federated learning (FL). In practice, the quantized local parameters are further encoded via an entropy coding technique, such as Huffman coding, for efficient data compression.
Externí odkaz:
http://arxiv.org/abs/2409.06319
Autor:
Hamidi, Shahrokh
In this paper, the challenging task of target detection in sea clutter is addressed. We analyze the statistical properties of the signals which have been received from the scene and based on that, we model the amplitude of the signals that have been
Externí odkaz:
http://arxiv.org/abs/2409.02155
Magnetooptical Kerr effect in meta surface based structure
Externí odkaz:
http://arxiv.org/abs/2408.05175
Autor:
Hamidi, Shahrokh
The reconstructed images from the Synthetic Aperture Radar (SAR) data suffer from multiplicative noise as well as low contrast level. These two factors impact the quality of the SAR images significantly and prevent any attempt to extract valuable inf
Externí odkaz:
http://arxiv.org/abs/2408.12671
Recently, it was shown that the role of the teacher in knowledge distillation (KD) is to provide the student with an estimate of the true Bayes conditional probability density (BCPD). Notably, the new findings propose that the student's error rate ca
Externí odkaz:
http://arxiv.org/abs/2407.18041
Autor:
Jucys, Karolis, Adamopoulos, George, Hamidi, Mehrab, Milani, Stephanie, Samsami, Mohammad Reza, Zholus, Artem, Joseph, Sonia, Richards, Blake, Rish, Irina, Şimşek, Özgür
Understanding the mechanisms behind decisions taken by large foundation models in sequential decision making tasks is critical to ensuring that such systems operate transparently and safely. In this work, we perform exploratory analysis on the Video
Externí odkaz:
http://arxiv.org/abs/2407.12161
This paper proposes a source-independent method for the detection and classification of faults along Transmission Lines (TLs). It aims to reduce the protection issues arising from Inverter-Based Resources (IBRs). Inspired by Power Line Communication
Externí odkaz:
http://arxiv.org/abs/2407.08611