Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Le Nhan"'
Publikováno v:
EPJ Web of Conferences, Vol 288, p 06003 (2023)
The lack of parallax in the measurements is a big challenge in 3D image reconstruction for handheld Compton cameras. Our solution to this issue is to extend the conventional list-mode maximum-likelihood expectation-maximization (LM-MLEM) 3D reconstru
Externí odkaz:
https://doaj.org/article/6b63aaeced6c411d931a0fc47977c7b7
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications
Real-world scenarios are characterized by timing uncertainties, e.g., delays, and disturbances. Algorithms with temporal robustness are crucial in guaranteeing the successful execution of tasks and missions in such scenarios. We study time-robust pat
Externí odkaz:
http://arxiv.org/abs/2403.10735
This paper proposes a novel distributed coverage controller for a multi-agent system with constant-speed unicycle robots (CSUR). The work is motivated by the limitation of the conventional method that does not ensure the satisfaction of hard state- a
Externí odkaz:
http://arxiv.org/abs/2304.05723
Autor:
Le, Nhan Trong, Tran, Lan Nguyen
We propose an active-space approximation to reduce the quantum resources required for variational quantum eigensolver (VQE). Starting from the double exponential unitary coupled-cluster ansatz and employing the downfolding technique, we arrive at an
Externí odkaz:
http://arxiv.org/abs/2205.03539
Publikováno v:
In Sustainable Chemistry and Pharmacy December 2024 42
Autor:
Brogaard, Jonathan1 (AUTHOR) brogaard@eccles.utah.edu, Le, Nhan2 (AUTHOR) nhan.le@anu.edu.au, Nguyen, Duc Duy3 (AUTHOR) duc.d.nguyen@durham.ac.uk, Sila, Vathunyoo4 (AUTHOR) ben.sila@ed.ac.uk
Publikováno v:
Journal of Financial & Quantitative Analysis. Jun2024, Vol. 59 Issue 4, p1726-1759. 34p.
Autor:
Van Nguyen, Hung, Trong Le, Nhan, Nguyen Le, Nguyen Thao, Duong, Thu Dong, Thuc Le, Trinh, Thi Nguyen, Ha Thu, Phung, Huong Thanh, Thi Nguyen, Hoai
Publikováno v:
In Process Biochemistry April 2024 139:70-80
Autor:
Le, Nhan Khanh, Liu, Yang, Nguyen, Quang Minh, Liu, Qingchen, Liu, Fangzhou, Cai, Quanwei, Hirche, Sandra
Federated learning is the distributed machine learning framework that enables collaborative training across multiple parties while ensuring data privacy. Practical adaptation of XGBoost, the state-of-the-art tree boosting framework, to federated lear
Externí odkaz:
http://arxiv.org/abs/2106.10662
Autor:
Trong Le, Nhan, Huyen Thi Chau, Ngoc, Quynh Dinh Nguyen, Phu, Thuy Thi Tran, Linh, Thanh Phung, Huong, Thi Nguyen, Hoai
Publikováno v:
In Separation and Purification Technology 1 February 2024 330 Part C