Zobrazeno 1 - 10
of 2 555
pro vyhledávání: '"Tran Van P"'
Autor:
Than Thi Hanh, Tran Van Phung
Publikováno v:
Aufklärung, Vol 11, Iss Especial (2024)
The state is a system of political theory that researchers are interested in to clarify the rules of movement and development of various types of states. Research on the state is the basis for making scientific predictions and determining the develop
Externí odkaz:
https://doaj.org/article/89038cec2f8a43fc928a35439654b016
Publikováno v:
Earth and Space Science, Vol 11, Iss 6, Pp n/a-n/a (2024)
Abstract Groundwater potential maps are crucial tools for effectively managing water resources, particularly in agriculturally focused countries such as Vietnam. However, creating these maps is a challenging task that requires reliable data and metho
Externí odkaz:
https://doaj.org/article/e97e8148db2e4b478c24813bd4a7b077
In recent years, deepfakes (DFs) have been utilized for malicious purposes, such as individual impersonation, misinformation spreading, and artists' style imitation, raising questions about ethical and security concerns. However, existing surveys hav
Externí odkaz:
http://arxiv.org/abs/2411.17911
Autor:
Liu, Shang-Ching, Tran, Van Nhiem, Chen, Wenkai, Cheng, Wei-Lun, Huang, Yen-Lin, Liao, I-Bin, Li, Yung-Hui, Zhang, Jianwei
Affordance understanding, the task of identifying actionable regions on 3D objects, plays a vital role in allowing robotic systems to engage with and operate within the physical world. Although Visual Language Models (VLMs) have excelled in high-leve
Externí odkaz:
http://arxiv.org/abs/2410.11564
Autor:
Sarwar, Zain, Tran, Van, Bhagoji, Arjun Nitin, Feamster, Nick, Zhao, Ben Y., Chakraborty, Supriyo
Machine learning (ML) models often require large amounts of data to perform well. When the available data is limited, model trainers may need to acquire more data from external sources. Often, useful data is held by private entities who are hesitant
Externí odkaz:
http://arxiv.org/abs/2410.08432
Autor:
Brubaker, Ben, Dasher, A. Suki, Hu, Michael, Jain, Nupur, Li, Yifan, Lin, Yi, Mihaila, Maria, Tran, Van, Ünel, I. Deniz
We use algebraic methods in statistical mechanics to represent a multi-parameter class of polynomials in severable variables as partition functions of a new family of solvable lattice models. The class of polynomials, defined by A.N. Kirillov, is der
Externí odkaz:
http://arxiv.org/abs/2410.07960
Autor:
Fan, Yi-Zhong, Li, Yao-Yu, Lu, Chih-Ting, Luo, Xiao-Yi, Tang, Tian-Peng, Tran, Van Que, Tsai, Yue-Lin Sming
The precision measurements of the muon magnetic moment and the $W$ boson mass have sparked interest in the potential deviations from standard model (SM) predictions. While it may be premature to attribute any excesses in these precision measurements
Externí odkaz:
http://arxiv.org/abs/2410.00638
Autor:
Binh Thai Pham, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Neelima Satyam, Md Masroor, Sufia Rehman, Haroon Sajjad, Mehebub Sahana, Hiep Van Le, Indra Prakash
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 5, Pp 575-596 (2021)
In this paper, we developed highly accurate ensemble machine learning models integrating Reduced Error Pruning Tree (REPT) as a base classifier with the Bagging (B), Decorate (D), and Random Subspace (RSS) ensemble learning techniques for spatial pre
Externí odkaz:
https://doaj.org/article/30ae93e96a564842aac8d38a55ba7f13
Autor:
Nguyen Van Dung, Nguyen Hieu, Tran Van Phong, Mahdis Amiri, Romulus Costache, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 1688-1714 (2021)
In this study, two novel hybrid models namely Bagging-based Rough Set (BRS) and AdaBoost-based Rough Set (ABRS) were used to generate landslide susceptibility maps of Son La hydropower reservoir basin, Vietnam. In total, 186 past landslide events and
Externí odkaz:
https://doaj.org/article/369160cc44444f8ca466e71136a924de
Employing effective field theory techniques, we advance computations of thermal parameters that enter predictions for the gravitational wave spectra from first-order electroweak phase transitions. Working with the real-singlet-extended Standard Model
Externí odkaz:
http://arxiv.org/abs/2409.17554