Zobrazeno 1 - 10
of 170 442
pro vyhledávání: '"An A. Dang"'
Autor:
Li, Long, Xu, Weiwen, Guo, Jiayan, Zhao, Ruochen, Li, Xinxuan, Yuan, Yuqian, Zhang, Boqiang, Jiang, Yuming, Xin, Yifei, Dang, Ronghao, Zhao, Deli, Rong, Yu, Feng, Tian, Bing, Lidong
Effective research ideation is a critical step for scientific research. However, the exponential increase in scientific literature makes it challenging for researchers to stay current with recent advances and identify meaningful research directions.
Externí odkaz:
http://arxiv.org/abs/2410.13185
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
Autor:
Zhu, Minghao, Wang, Zhengpu, Hu, Mengxian, Dang, Ronghao, Lin, Xiao, Zhou, Xun, Liu, Chengju, Chen, Qijun
Transferring visual-language knowledge from large-scale foundation models for video recognition has proved to be effective. To bridge the domain gap, additional parametric modules are added to capture the temporal information. However, zero-shot gene
Externí odkaz:
http://arxiv.org/abs/2410.10589
Contrastive learning (CL) has emerged as a promising approach for representation learning in time series data by embedding similar pairs closely while distancing dissimilar ones. However, existing CL methods often introduce false negative pairs (FNPs
Externí odkaz:
http://arxiv.org/abs/2410.10048
Autor:
Nguyen, Duc Phu, Nguyen, Thanh Long, Tu, Minh Dang, Quach, Cong Hoang, Truong, Xuan Tung, Phung, Manh Duong
Service robots that work alongside humans in a shared environment need a navigation system that takes into account not only physical safety but also social norms for mutual cooperation. In this paper, we introduce a motion planning system that includ
Externí odkaz:
http://arxiv.org/abs/2410.09803
Anomaly Detection and Inlet Pressure Prediction in Water Distribution Systems Using Machine Learning
Autor:
Khoa, Tran Dang
This study presents two models to optimize pressure management in water distribution networks. The first model forecasts pressure at distribution points and compares predictions with actual data to detect anomalies such as leaks and blockages. Early
Externí odkaz:
http://arxiv.org/abs/2410.09530
Autor:
Zhao, D., Yuan, J. P., Wang, N., Li, D., Wang, P., Xue, M. Y., Zhu, W. W., Miao, C. C., Yan, W. M., Wang, J. B., Yao, J. M., Wu, Q. D., Wang, S. Q., Sun, S. N., Kou, F. F., Chen, Y. T., Dang, S. J., Feng, Y., Liu, Z. J., Miao, X. L., Meng, L. Q., Yuan, M., Niu, C. H., Niu, J. R., Qian, L., Wang, S., Xie, X. Y., Xiao, Y. F., Yue, Y. L., You, S. P., Yu, X. H., Zhao, R. S., Yuen, R., Zhou, X., Zhang, L., Xie, M., Li, Y. X., Wang, C. J., Luo, Z. K., Gan, Z. Y., Sun, Z. Y., Chi, M. m.
We present phase-connected timing ephemerides, polarization pulse profiles and Faraday rotation measurements of 12 pulsars discovered by the Five-hundred-meter Aperture Spherical radio Telescope (FAST) in the Commensal Radio Astronomy FAST Survey (CR
Externí odkaz:
http://arxiv.org/abs/2410.09518
Supervised fine-tuning (SFT) is crucial for aligning Large Language Models (LLMs) with human instructions. The primary goal during SFT is to select a small yet representative subset of training data from the larger pool, such that fine-tuning with th
Externí odkaz:
http://arxiv.org/abs/2410.09335
The set of forks is a class of quivers introduced by M. Warkentin, where every connected mutation-infinite quiver is mutation equivalent to infinitely many forks. Let $Q$ be a fork with $n$ vertices, and $\boldsymbol{w}$ be a fork-preserving mutation
Externí odkaz:
http://arxiv.org/abs/2410.08510
Time series forecasting has played a significant role in many practical fields. But time series data generated from real-world applications always exhibits high variance and lots of noise, which makes it difficult to capture the inherent periodic pat
Externí odkaz:
http://arxiv.org/abs/2410.05726
Local search is a common method for solving combinatorial optimisation problems. We focus on general-purpose local search solvers that accept as input a constraint model - a declarative description of a problem consisting of a set of decision variabl
Externí odkaz:
http://arxiv.org/abs/2410.05937