Zobrazeno 1 - 10
of 2 028
pro vyhledávání: '"So, Tran Cong"'
Publikováno v:
EPTCS 403, 2024, pp. 18-22
In the present work, we exhibit a class of self-descriptive sequences that can be explicitly computed and whose frequencies are known. In particular, as a corollary of our main result, we prove that the sequence introduced in \citeBJM23 has the expec
Externí odkaz:
http://arxiv.org/abs/2406.16391
Travelling Salesperson Problems (TSPs) and Vehicle Routing Problems (VRPs) have achieved reasonable improvement in accuracy and computation time with the adaptation of Machine Learning (ML) methods. However, none of the previous works completely resp
Externí odkaz:
http://arxiv.org/abs/2310.15543
Autor:
Hy, Truong Son, Tran, Cong Dao
Recently, Deep reinforcement learning (DRL) models have shown promising results in solving routing problems. However, most DRL solvers are commonly proposed to solve node routing problems, such as the Traveling Salesman Problem (TSP). Meanwhile, ther
Externí odkaz:
http://arxiv.org/abs/2310.15516
Object detection has long been a topic of high interest in computer vision literature. Motivated by the fact that annotating data for the multi-object tracking (MOT) problem is immensely expensive, recent studies have turned their attention to the un
Externí odkaz:
http://arxiv.org/abs/2309.01078
Automatically classifying cough sounds is one of the most critical tasks for the diagnosis and treatment of respiratory diseases. However, collecting a huge amount of labeled cough dataset is challenging mainly due to high laborious expenses, data sc
Externí odkaz:
http://arxiv.org/abs/2309.01076
Network alignment (NA) is the task of discovering node correspondences across multiple networks. Although NA methods have achieved remarkable success in a myriad of scenarios, their effectiveness is not without additional information such as prior an
Externí odkaz:
http://arxiv.org/abs/2304.12751
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty
In social networks, the discovery of community structures has received considerable attention as a fundamental problem in various network analysis tasks. However, due to privacy concerns or access restrictions, the network structure is often uncertai
Externí odkaz:
http://arxiv.org/abs/2304.04497
Publikováno v:
Tạp chí Khoa học và Công nghệ, Pp 57-62 (2024)
The problem with this power transmission system is related to increased fuel consumption, and small performance. The above issues are decisive for the management of the AT transmission system. In other words, determining when to shift gears is one of
Externí odkaz:
https://doaj.org/article/5c7e8e5fc834413aab11dd88b427fda7
This paper presents ViDeBERTa, a new pre-trained monolingual language model for Vietnamese, with three versions - ViDeBERTa_xsmall, ViDeBERTa_base, and ViDeBERTa_large, which are pre-trained on a large-scale corpus of high-quality and diverse Vietnam
Externí odkaz:
http://arxiv.org/abs/2301.10439
Autor:
Thu Vo-Pham-Minh, Dang Tran-Cong, Hung Phan-Viet, Thien Dinh-Chi, Tran Nguyen-Thi-Hong, Thuy Cao-Thi-My, Hien Nguyen-Thi-Dieu, Duong Vo-Thai, Vu Nguyen-Thien, Sy Duong-Quy
Publikováno v:
Pulmonary Therapy, Vol 10, Iss 2, Pp 193-205 (2024)
Abstract Introduction Staphylococcus aureus (S. aureus) is an important pathogen in both community-acquired and hospital-acquired pneumonia. S. aureus pneumonia has a high mortality rate and serious complications. Resistance to multiple antibiotics i
Externí odkaz:
https://doaj.org/article/e2959f9aeb5248fc90d9f4854df8bbf0