Zobrazeno 1 - 10
of 266 907
pro vyhledávání: '"Preliminary investigation"'
Autor:
Zheng, Yupeng, Xia, Zhongpu, Zhang, Qichao, Zhang, Teng, Lu, Ben, Huo, Xiaochuang, Han, Chao, Li, Yixian, Yu, Mengjie, Jin, Bu, Yang, Pengxuan, Zheng, Yuhang, Yuan, Haifeng, Jiang, Ke, Jia, Peng, Lang, Xianpeng, Zhao, Dongbin
The end-to-end autonomous driving paradigm has recently attracted lots of attention due to its scalability. However, existing methods are constrained by the limited scale of real-world data, which hinders a comprehensive exploration of the scaling la
Externí odkaz:
http://arxiv.org/abs/2412.02689
Autor:
N. P. Bukharinа
Publikováno v:
Сибирское юридическое обозрение, Vol 21, Iss 3, Pp 386-404 (2024)
A significant body of scholarly literature examines the shortcomings of the preliminary investigation. However, the historical aspects of this problem have not been thoroughly investigated. Currently, there is a lack of papers giving the comprehensiv
Externí odkaz:
https://doaj.org/article/2b929487acbd40119e08da05fa4f97cc
Autor:
Violeta, Lester Phillip, Akama, Taketo
We investigate the feasibility of a singing voice synthesis (SVS) system by using a decomposed framework to improve flexibility in generating singing voices. Due to data-driven approaches, SVS performs a music score-to-waveform mapping; however, the
Externí odkaz:
http://arxiv.org/abs/2407.09346
Autor:
Ramakrishnan, Nayani1 (AUTHOR) nayani.ramakrishnan@mail.utoronto.ca, Tiba, Sujaiya1 (AUTHOR) suzanne.erb@utoronto.ca, Goldstein, Abby L.2 (AUTHOR) abbyl.goldstein@utoronto.ca, Erb, Suzanne1 (AUTHOR)
Publikováno v:
Brain Sciences (2076-3425). Nov2024, Vol. 14 Issue 11, p1081. 15p.
Autor:
Payot, Mariejim Diane1,2 (AUTHOR) aevillavieja@ust.edu.ph, Villavieja, Adrian2 (AUTHOR), Pineda-Cortel, Maria Ruth1,2,3 (AUTHOR)
Publikováno v:
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 19, p10527. 11p.
Autor:
Azam, Basim, Akhtar, Naveed
Kolmogorov-Arnold Networks (KANs) introduce a paradigm of neural modeling that implements learnable functions on the edges of the networks, diverging from the traditional node-centric activations in neural networks. This work assesses the applicabili
Externí odkaz:
http://arxiv.org/abs/2406.09087
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL
Autor:
Xia, Qingxin, Maekawa, Takuya, Morales, Jaime, Hara, Takahiro, Oshima, Hirotomo, Fukuda, Masamitsu, Namioka, Yasuo
In this study, we investigate a new self-supervised learning (SSL) approach for complex work activity recognition using wearable sensors. Owing to the cost of labeled sensor data collection, SSL methods for human activity recognition (HAR) that effec
Externí odkaz:
http://arxiv.org/abs/2404.13581
Publikováno v:
BioResources. 2024, Vol. 19 Issue 4, p9606-9615. 10p.
Publikováno v:
American Journal of Speech-Language Pathology. Dec2024, Vol. 33, p3422-3430. 9p.