Zobrazeno 1 - 10
of 144 135
pro vyhledávání: '"To, Minh"'
In this paper, we formulate an input-output economic model with multiple interactive economic systems. The model captures the multi-dimensional nature of the economic sectors or industries in each economic system, the interdependencies among industri
Externí odkaz:
http://arxiv.org/abs/2412.13564
Test-time adaptation (TTA) has emerged as a promising solution to tackle the continual domain shift in machine learning by allowing model parameters to change at test time, via self-supervised learning on unlabeled testing data. At the same time, it
Externí odkaz:
http://arxiv.org/abs/2412.01154
Autor:
Chen, Qi, Zhao, Ruoshan, Wang, Sinuo, Phan, Vu Minh Hieu, Hengel, Anton van den, Verjans, Johan, Liao, Zhibin, To, Minh-Son, Xia, Yong, Chen, Jian, Xie, Yutong, Wu, Qi
Medical vision-and-language models (MVLMs) have attracted substantial interest due to their capability to offer a natural language interface for interpreting complex medical data. Their applications are versatile and have the potential to improve dia
Externí odkaz:
http://arxiv.org/abs/2411.12195
Autor:
Le, Duc-Truyen, Nguyen, Vu-Linh, Ha, Triet Minh, Nguyen, Cong-Ha, Nguyen, Quoc-Hung, Nguyen, Van-Duy
In this study, we delved into several optimization methods, both classical and quantum, and analyzed the quantum advantage that each of these methods offered, and then we proposed a new combinatorial optimization scheme, deemed as QN-SPSA+PSR which c
Externí odkaz:
http://arxiv.org/abs/2412.19176
Expensive multi-objective optimization problems (EMOPs) are common in real-world scenarios where evaluating objective functions is costly and involves extensive computations or physical experiments. Current Pareto set learning methods for such proble
Externí odkaz:
http://arxiv.org/abs/2412.17312
Autor:
Lin, Haohong, Huang, Xin, Phan-Minh, Tung, Hayden, David S., Zhang, Huan, Zhao, Ding, Srinivasa, Siddhartha, Wolff, Eric M., Chen, Hongge
Simulation is critical for safety evaluation in autonomous driving, particularly in capturing complex interactive behaviors. However, generating realistic and controllable traffic scenarios in long-tail situations remains a significant challenge. Exi
Externí odkaz:
http://arxiv.org/abs/2412.17920
Medical image segmentation is crucial in assisting medical doctors in making diagnoses and enabling accurate automatic diagnosis. While advanced convolutional neural networks (CNNs) excel in segmenting regions of interest with pixel-level precision,
Externí odkaz:
http://arxiv.org/abs/2412.17241
We study a competitive facility location problem, where customer behavior is modeled and predicted using a discrete choice random utility model. The goal is to strategically place new facilities to maximize the overall captured customer demand in a c
Externí odkaz:
http://arxiv.org/abs/2412.17021
Autor:
Yuan, Shenghai, Lou, Boyang, Nguyen, Thien-Minh, Yin, Pengyu, Cao, Muqing, Xu, Xinghang, Li, Jianping, Xu, Jie, Chen, Siyu, Xie, Lihua
Ultra-wideband (UWB) is gaining popularity with devices like AirTags for precise home item localization but faces significant challenges when scaled to large environments like seaports. The main challenges are calibration and localization in obstruct
Externí odkaz:
http://arxiv.org/abs/2412.16880
Vietnam is viewed as one of the promising markets for electric vehicles (EVs), especially automobiles when it is predicted to reach 1 million in 2028 and 3.5 million in 2040. However, the lack of charging station infrastructure has hindered the growt
Externí odkaz:
http://arxiv.org/abs/2412.16025