Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Nguyen Duc Duy"'
This paper addresses the task of counting human actions of interest using sensor data from wearable devices. We propose a novel exemplar-based framework, allowing users to provide exemplars of the actions they want to count by vocalizing predefined s
Externí odkaz:
http://arxiv.org/abs/2312.17330
Autor:
Rana, Md Masud, Nguyen, Duc Duy
Protein-protein interactions (PPIs) are critical for various biological processes, and understanding their dynamics is essential for decoding molecular mechanisms and advancing fields such as cancer research and drug discovery. Mutations in PPIs can
Externí odkaz:
http://arxiv.org/abs/2309.13484
Autor:
Truong, Nhat Hao, Mai, Huu Thien, Tran, Tuan Anh, Tran, Minh Quang, Nguyen, Duc Duy, Pham, Ngoc Viet Phuong
End-to-end deep learning approaches has been proven to be efficient in autonomous driving and robotics. By using deep learning techniques for decision-making, those systems are often referred to as a black box, and the result is driven by data. In th
Externí odkaz:
http://arxiv.org/abs/2304.08252
Autor:
Rana, Md Masud, Nguyen, Duc Duy
Understanding and accurately predicting protein-ligand binding affinity are essential in the drug design and discovery process. At present, machine learning-based methodologies are gaining popularity as a means of predicting binding affinity due to t
Externí odkaz:
http://arxiv.org/abs/2301.06194
Autor:
Rana, Md Masud, Nguyen, Duc Duy
Molecular surface representations have been advertised as a great tool to study protein structure and functions, including protein-ligand binding affinity modeling. However, the conventional surface-area-based methods fail to deliver a competitive pe
Externí odkaz:
http://arxiv.org/abs/2206.00611
Publikováno v:
Journal of Financial & Quantitative Analysis; Jun2024, Vol. 59 Issue 4, p1726-1759, 34p
Machine learning methods have greatly changed science, engineering, finance, business, and other fields. Despite the tremendous accomplishments of machine learning and deep learning methods, many challenges still remain. In particular, the performanc
Externí odkaz:
http://arxiv.org/abs/2109.03718
Under the global health emergency caused by coronavirus disease 2019 (COVID-19), efficient and specific therapies are urgently needed. Compared with traditional small-molecular drugs, antibody therapies are relatively easy to develop and as specific
Externí odkaz:
http://arxiv.org/abs/2006.10584
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected near 5 million people and led to over 0.3 million deaths. Currently, there is no specific anti-SARS-CoV-2 medication.
Externí odkaz:
http://arxiv.org/abs/2005.10028
Persistent homology is constrained to purely topological persistence while multiscale graphs account only for geometric information. This work introduces persistent spectral theory to create a unified low-dimensional multiscale paradigm for revealing
Externí odkaz:
http://arxiv.org/abs/1912.04135