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pro vyhledávání: '"Model Optimization"'
Due to the rising awareness of privacy protection and the voluminous scale of speech data, it is becoming infeasible for Automatic Speech Recognition (ASR) system developers to train the acoustic model with complete data as before. For example, the d
Externí odkaz:
http://arxiv.org/abs/2410.15620
Autor:
Li, Hesen1,2 (AUTHOR), Chun, Weide2 (AUTHOR), Wu, Xu3,4 (AUTHOR) wuxuphd@foxmail.com, Luo, Lan5 (AUTHOR)
Publikováno v:
Mathematical & Computer Modelling of Dynamical Systems. Dec2024, Vol. 30 Issue 1, p736-757. 22p.
Smaller machine learning models, with less complex architectures and sensor inputs, can benefit wearable sensor-based human activity recognition (HAR) systems in many ways, from complexity and cost to battery life. In the specific case of smart facto
Externí odkaz:
http://arxiv.org/abs/2408.14146
Publikováno v:
Meikuang Anquan, Vol 55, Iss 12, Pp 106-114 (2024)
With the deep extension of coal mine mining, the influence of ground on occurrence state and regularity of coal seam gas is more and more obvious. In order to better study the kinetic characteristics of gas adsorption in the loaded coal, isothermal a
Externí odkaz:
https://doaj.org/article/a30a5428b19b450cacb40215aa7c874e
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems, Vol 30, Iss 1, Pp 736-757 (2024)
In order to make the constructed investment portfolio model better adapt to the actual securities market, this paper incorporates the multifractal correlations into the portfolio model of multi-risk assets optimization. On the basis of using variable
Externí odkaz:
https://doaj.org/article/b84b04397cea49818da47dd15d426480
Dynamic and continuous jumping remains an open yet challenging problem in bipedal robot control. Real-time planning with full body dynamics over the entire jumping trajectory presents unsolved challenges in computation burden. In this paper, we propo
Externí odkaz:
http://arxiv.org/abs/2404.11807
Publikováno v:
Science Technology & Engineering. 2024, Vol. 24 Issue 28, p12350-12356. 7p.
Autor:
Kurniati, Florentina Tatrin, Manongga, Daniel HF, Sediyono, Eko, Prasetyo, Sri Yulianto Joko, Huizen, Roy Rudolf
Publikováno v:
JITEKI,December 2023, http://journal.uad.ac.id/index.php/JITEKI/article/view/27842
In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in object recognition processes. It finds applications in real-time scenarios such as security surveillance and
Externí odkaz:
http://arxiv.org/abs/2404.04578
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