Zobrazeno 1 - 10
of 2 057 718
pro vyhledávání: '"REDUNDANT"'
Autor:
Norbert Kling
Dynamic processes and conflicts are at the core of the urban condition. Against the background of continuous change in cities, concepts and assumptions about spatial transformations have to be constantly re-examined and revised. Norbert Kling explore
Autor:
Kuempel, Caitlin D.1 (AUTHOR) c.kuempel@griffith.edu.au, Arnett, Emma2 (AUTHOR), Klein, Carissa J.2 (AUTHOR)
Publikováno v:
PLoS ONE. 7/10/2024, Vol. 19 Issue 7, p1-12. 12p.
Deep neural networks often learn similar internal representations, both across different models and within their own layers. While inter-network similarities have enabled techniques such as model stitching and merging, intra-network similarities pres
Externí odkaz:
http://arxiv.org/abs/2410.04941
Autor:
Kawaharazuka, Kento, Nishiura, Manabu, Toshimitsu, Yasunori, Omura, Yusuke, Koga, Yuya, Asano, Yuki, Kawasaki, Koji, Inaba, Masayuki
Musculoskeletal humanoids have various biomimetic advantages, of which redundant muscle arrangement is one of the most important features. This feature enables variable stiffness control and allows the robot to keep moving its joints even if one of t
Externí odkaz:
http://arxiv.org/abs/2409.14951
Autor:
Kawaharazuka, Kento, Nishiura, Manabu, Koga, Yuya, Omura, Yusuke, Toshimitsu, Yasunori, Asano, Yuki, Okada, Kei, Kawasaki, Koji, Inaba, Masayuki
For a robot with redundant sensors and actuators distributed throughout its body, it is difficult to construct a controller or a neural network using all of them due to computational cost and complexity. Therefore, it is effective to extract function
Externí odkaz:
http://arxiv.org/abs/2409.00678
$\chi^2$ from Redundant Calibration as a Tool in the Detection of Faint Radio-frequency Interference
Autor:
Kunicki, Theodora, Pober, Jonathan C.
Radio-frequency interference detection and flagging is one of the most difficult and urgent problems in 21 cm Epoch of Reionization research. In this work, we present $\chi^2$ from redundant calibration as a novel method for RFI detection and flaggin
Externí odkaz:
http://arxiv.org/abs/2408.14588
In computation-intensive domains such as digital signal processing, encryption, and neural networks, the performance of arithmetic units, including adders and multipliers, is pivotal. Conventional numerical systems often fall short of meeting the eff
Externí odkaz:
http://arxiv.org/abs/2408.05639