Zobrazeno 1 - 10
of 12 612
pro vyhledávání: '"NGUYEN, ANH"'
Autor:
Nguyen, Anh Chi
Public-private partnerships (PPPs) are increasingly used to address pressing infrastructure demands. PPPs typically involve a long-term contract between governments and private firms for design, construction, operation, and maintenance of infrastruct
Externí odkaz:
http://hdl.handle.net/10919/115486
In domain-specific contexts, particularly mental health, abstractive summarization requires advanced techniques adept at handling specialized content to generate domain-relevant and faithful summaries. In response to this, we introduce a guided summa
Externí odkaz:
http://arxiv.org/abs/2411.01485
Autor:
Jianu, Tudor, Huang, Baoru, Nguyen, Hoan, Bhattarai, Binod, Do, Tuong, Tjiputra, Erman, Tran, Quang, Berthet-Rayne, Pierre, Le, Ngan, Fichera, Sebastiano, Nguyen, Anh
Endovascular surgical tool reconstruction represents an important factor in advancing endovascular tool navigation, which is an important step in endovascular surgery. However, the lack of publicly available datasets significantly restricts the devel
Externí odkaz:
http://arxiv.org/abs/2410.22224
We establish a new family of the critical higher order Sobolev interpolation inequalities for radial functions as well as for non-radial functions. These Sobolev interpolation inequalities are sharp in the sense that they use the optimal quadratic fo
Externí odkaz:
http://arxiv.org/abs/2410.18335
Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and re-sampling methods, that utilise the class frequencies of
Externí odkaz:
http://arxiv.org/abs/2410.11774
Autor:
Thapaliya, Bishal, Nguyen, Anh, Lu, Yao, Xie, Tian, Grudetskyi, Igor, Lin, Fudong, Valkanas, Antonios, Liu, Jingyu, Chakraborty, Deepayan, Fehri, Bilel
Classifying nodes in a graph is a common problem. The ideal classifier must adapt to any imbalances in the class distribution. It must also use information in the clustering structure of real-world graphs. Existing Graph Neural Networks (GNNs) have n
Externí odkaz:
http://arxiv.org/abs/2410.11765
Grasping a variety of objects remains a key challenge in the development of versatile robotic systems. The human hand is remarkably dexterous, capable of grasping and manipulating objects with diverse shapes, mechanical properties, and textures. Insp
Externí odkaz:
http://arxiv.org/abs/2410.05789
Vision models excel in image classification but struggle to generalize to unseen data, such as classifying images from unseen domains or discovering novel categories. In this paper, we explore the relationship between logical reasoning and deep learn
Externí odkaz:
http://arxiv.org/abs/2410.04492
Autor:
Nguyen, Anh Tuan
Machine learning is an important part of the data science field. In petrophysics, machine learning algorithms and applications have been widely approached. In this context, Vietnam Petroleum Institute (VPI) has researched and deployed several effecti
Externí odkaz:
http://arxiv.org/abs/2410.05332
This study introduces an innovative automatic labeling framework to address the challenges of lexical normalization in social media texts for low-resource languages like Vietnamese. Social media data is rich and diverse, but the evolving and varied l
Externí odkaz:
http://arxiv.org/abs/2409.20467