Zobrazeno 1 - 10
of 28 908
pro vyhledávání: '"A, Sadaf"'
We introduce OCULAR, an innovative hardware and software solution for three-dimensional dynamic image analysis of fine particles. Current state-of-the art instruments for dynamic image analysis are largely limited to two-dimensional imaging. However,
Externí odkaz:
http://arxiv.org/abs/2412.05347
Autor:
Saha, Aniruddha, Sobhani, Sadaf
The dynamics of capillary rise under different geometric and fluid conditions have the common signatures of rapid rise followed by an equilibrium state that describe the underlying competing forces. We present a new interpretation of capillary dynami
Externí odkaz:
http://arxiv.org/abs/2411.15440
This work addresses the fundamental linear inverse problem in compressive sensing (CS) by introducing a new type of regularizing generative prior. Our proposed method utilizes ideas from classical dictionary-based CS and, in particular, sparse Bayesi
Externí odkaz:
http://arxiv.org/abs/2411.09483
In this work, we propose a low-cost rate splitting (RS) technique for a multi-user multiple-input single-output (MISO) system operating in frequency division duplex (FDD) mode. The proposed iterative optimisation algorithm only depends on the second-
Externí odkaz:
http://arxiv.org/abs/2411.02242
Circuit representation learning is increasingly pivotal in Electronic Design Automation (EDA), serving various downstream tasks with enhanced model efficiency and accuracy. One notable work, DeepSeq, has pioneered sequential circuit learning by encod
Externí odkaz:
http://arxiv.org/abs/2411.00530
Autor:
Cılasun, Hüsrev, Kumar, Abhimanyu, Zeng, Ziqing, Prova, Nafisa Sadaf, Sapatnekar, Sachin S., Karpuzcu, Ulya R.
Ising machines are effective solvers for complex combinatorial optimization problems. The idea is mapping the optimal solution(s) to a combinatorial optimization problem to the minimum energy state(s) of a physical system, which naturally converges t
Externí odkaz:
http://arxiv.org/abs/2410.23517
Autor:
Alam, Sadaf R., Woods, Christopher, Williams, Matt, Moore, Dave, Prior, Isaac, Williams, Ethan, Price, Anna, Womack, James, McIntosh-Smith, Simon, Yang-Turner, Fan, Pryor, Matt, Livenson, Ilja
Scientific workflows have become highly heterogenous, leveraging distributed facilities such as High Performance Computing (HPC), Artificial Intelligence (AI), Machine Learning (ML), scientific instruments (data-driven pipelines) and edge computing.
Externí odkaz:
http://arxiv.org/abs/2410.18411
Rate splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS) are two prospective technologies for improving the spectral and energy efficiency in future wireless communication systems. In this work, we investigate a rate splitti
Externí odkaz:
http://arxiv.org/abs/2410.12708
Estimating depth from a single 2D image is a challenging task due to the lack of stereo or multi-view data, which are typically required for depth perception. This paper introduces a novel deep learning-based approach using an enhanced encoder-decode
Externí odkaz:
http://arxiv.org/abs/2410.11610
Isambard-AI is a new, leadership-class supercomputer, designed to support AI-related research. Based on the HPE Cray EX4000 system, and housed in a new, energy efficient Modular Data Centre in Bristol, UK, Isambard-AI employs 5,448 NVIDIA Grace-Hoppe
Externí odkaz:
http://arxiv.org/abs/2410.11199