Zobrazeno 1 - 10
of 804 242
pro vyhledávání: '"Is wan"'
Publikováno v:
CHI'2024: Workshop of the CHI Conference on Human Factors in Computing Systems, May 11--16, 2024, Honolulu, HI, USA
Immigration and aging have always been significant topics of discussion in society, concerning the stability and future development of a country and its people. Research in the field of HCI on immigration and aging has primarily focused on their prac
Externí odkaz:
http://arxiv.org/abs/2412.05119
Autor:
Wan, Ruhao, Zhu, Shixin
Let $q=p^m$ be a prime power, $e$ be an integer with $0\leq e\leq m-1$ and $s=\gcd(e,m)$. In this paper, for a vector $v$ and a $q$-ary linear code $C$, we give some necessary and sufficient conditions for the equivalent code $vC$ of $C$ and the exte
Externí odkaz:
http://arxiv.org/abs/2412.05011
Memecoins, driven by social media engagement and cultural narratives, have rapidly grown within the Web3 ecosystem. Unlike traditional cryptocurrencies, they are shaped by humor, memes, and community sentiment. This paper introduces the Coin-Meme dat
Externí odkaz:
http://arxiv.org/abs/2412.04913
Autor:
Bao, Xuchan, Li, Judith Yue, Wan, Zhong Yi, Su, Kun, Denk, Timo, Lee, Joonseok, Kuzmin, Dima, Sha, Fei
Modern music retrieval systems often rely on fixed representations of user preferences, limiting their ability to capture users' diverse and uncertain retrieval needs. To address this limitation, we introduce Diff4Steer, a novel generative retrieval
Externí odkaz:
http://arxiv.org/abs/2412.04746
Autor:
Guo, Shengnan, Wei, Tonglong, Huang, Yiheng, Zhao, Miaomiao, Chen, Ran, Lin, Yan, Lin, Youfang, Wan, Huaiyu
Traffic data imputation is a critical preprocessing step in intelligent transportation systems, enabling advanced transportation services. Despite significant advancements in this field, selecting the most suitable model for practical applications re
Externí odkaz:
http://arxiv.org/abs/2412.04733
Autor:
Pöhls, Jan-Hendrik, Lo, Chun-Wan Timothy, MacIver, Marissa, Tseng, Yu-Chih, Mozharivskyj, Yurij
Systemic optimization of thermoelectric materials is arduous due to their conflicting electrical and thermal properties. A strategy based on Design of Experiments and machine learning is developed to optimize the thermoelectric efficiency of AgSb1+xT
Externí odkaz:
http://arxiv.org/abs/2412.04699
Autor:
Capozzi, Gianluca, Tang, Tong, Wan, Jie, Yang, Ziqi, D'Elia, Daniele Cono, Di Luna, Giuseppe Antonio, Cavallaro, Lorenzo, Querzoni, Leonardo
Binary function similarity, which often relies on learning-based algorithms to identify what functions in a pool are most similar to a given query function, is a sought-after topic in different communities, including machine learning, software engine
Externí odkaz:
http://arxiv.org/abs/2412.04163
Integrated sensing and communication (ISAC) systems provide significant enhancements in performance and resource efficiency compared to individual sensing and communication systems, primarily attributed to the collaborative use of wireless resources,
Externí odkaz:
http://arxiv.org/abs/2412.03956
Due to the subjective nature of current clinical evaluation, the need for automatic severity evaluation in dysarthric speech has emerged. DNN models outperform ML models but lack user-friendly explainability. ML models offer explainable results at a
Externí odkaz:
http://arxiv.org/abs/2412.03784
Autor:
Zhang, Dehui, Zhang, Yucheng, Xu, Dong, Wang, Shaolei, Wang, Kaidong, Zhou, Boxuan, Ling, Yansong, Liu, Yang, Cui, Qingyu, Yin, Junyi, Zhu, Enbo, Zhao, Xun, Wan, Chengzhang, Chen, Jun, Hsiai, Tzung K., Huang, Yu, Duan, Xiangfeng
Directly probing deep tissue activities from body surfaces offers a noninvasive approach to monitoring essential physiological processes1-3. However, this method is technically challenged by rapid signal attenuation toward the body surface and confou
Externí odkaz:
http://arxiv.org/abs/2412.03749