Zobrazeno 1 - 10
of 277 398
pro vyhledávání: '"Saeed, A A"'
Although linear quantum amplification has proven essential to the processing of weak quantum signals, extracting higher-order quantum features such as correlations in principle demands nonlinear operations. However, nonlinear processing of quantum si
Externí odkaz:
http://arxiv.org/abs/2409.03748
Autor:
Polson, Lucas, Esquinas, Pedro, Kurkowska, Sara, Li, Chenguang, Sheikhzadeh, Peyman, Abbassi, Mehrshad, Farzanehfar, Saeed, Mirabedian, Seyyede, Uribe, Carlos, Rahmim, Arman
Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and more accurate quantitation, especially for higher energy imaging (e.g.Lu-177 and Ac-225). Such modeling, however, can pose a significant comput
Externí odkaz:
http://arxiv.org/abs/2409.03100
Autor:
Qian, Chenghao, Rezaei, Mahdi, Anwar, Saeed, Li, Wenjing, Hussain, Tanveer, Azarmi, Mohsen, Wang, Wei
Adverse conditions like snow, rain, nighttime, and fog, pose challenges for autonomous driving perception systems. Existing methods have limited effectiveness in improving essential computer vision tasks, such as semantic segmentation, and often focu
Externí odkaz:
http://arxiv.org/abs/2409.02045
Federated learning (FL) has emerged as a prominent method for collaboratively training machine learning models using local data from edge devices, all while keeping data decentralized. However, accounting for the quality of data contributed by local
Externí odkaz:
http://arxiv.org/abs/2409.02189
Autor:
Kungurtsev, Vyacheslav, Peng, Yuanfang, Gu, Jianyang, Vahidian, Saeed, Quinn, Anthony, Idlahcen, Fadwa, Chen, Yiran
Dataset distillation (DD) is an increasingly important technique that focuses on constructing a synthetic dataset capable of capturing the core information in training data to achieve comparable performance in models trained on the latter. While DD h
Externí odkaz:
http://arxiv.org/abs/2409.01410
The utilities consider public safety power shut-offs imperative for the mitigation of wildfire risk. This paper presents expansion planning of power system under fire hazard weather conditions. The power lines are quantified based on the risk of fire
Externí odkaz:
http://arxiv.org/abs/2409.00334
Autor:
Bekos, Michael A., Bose, Prosenjit, Büngener, Aaron, Dujmović, Vida, Hoffmann, Michael, Kaufmann, Michael, Morin, Pat, Odak, Saeed, Weinberger, Alexandra
We study the impact of forbidding short cycles to the edge density of $k$-planar graphs; a $k$-planar graph is one that can be drawn in the plane with at most $k$ crossings per edge. Specifically, we consider three settings, according to which the fo
Externí odkaz:
http://arxiv.org/abs/2408.16085
Wildfires and other extreme weather conditions due to climate change are stressing the aging electrical infrastructure. Power utilities have implemented public safety power shutoffs as a method to mitigate the risk of wildfire by proactively de-energ
Externí odkaz:
http://arxiv.org/abs/2408.15774
Language based editing of 3D human avatars to precisely match user requirements is challenging due to the inherent ambiguity and limited expressiveness of natural language. To overcome this, we propose the Avatar Concept Slider (ACS), a 3D avatar edi
Externí odkaz:
http://arxiv.org/abs/2408.13995
In this paper, a multimode smart nonlinear circuit (MSNC) for wireless communications (Tx and Rx modes) as well as energy harvesting (EH) and power saving is presented. The proposed MSNC is designed at 680 MHz and has three ports, which are connected
Externí odkaz:
http://arxiv.org/abs/2408.13502