Zobrazeno 1 - 10
of 4 475
pro vyhledávání: '"An, Tran Nguyen"'
Given a simple graph $G$, the artinian monomial algebra associated to $G$, denoted by $A(G)$, is defined by the edge ideal of $G$ and the squares of the variables. In this article, we classify some tadpole graphs $G$ for which $A(G)$ has or fails the
Externí odkaz:
http://arxiv.org/abs/2412.08037
Autor:
Piran, Md. Jalil, Tran, Nguyen H.
Following a brief introduction to research, research processes, research types, papers, reviews, and evaluations, this paper presents a structured framework for addressing inconsistencies in research methodology, technical writing, quality assessment
Externí odkaz:
http://arxiv.org/abs/2412.05683
Autor:
Tran, Nguyen-Bao-Long, Ngo, Tuan V., Ngo, Mao V., Chen, Binbin, Park, Jihong, Quek, Tony Q. S.
As telecommunications systems progress to support diverse use cases with heterogeneous and dynamic Quality of Service (QoS) requirements, it becomes an increasingly complex task to automatically manage various resources involved -- from radio, comput
Externí odkaz:
http://arxiv.org/abs/2410.09765
Autor:
Nguyen, Minh Duong, Le, Khanh, Do, Khoi, Tran, Nguyen H., Nguyen, Duc, Trinh, Chien, Yang, Zhaohui
In personalized Federated Learning (pFL), high data heterogeneity can cause significant gradient divergence across devices, adversely affecting the learning process. This divergence, especially when gradients from different users form an obtuse angle
Externí odkaz:
http://arxiv.org/abs/2410.02845
Autor:
Nguyen, Tung-Anh, Le, Long Tan, Nguyen, Tuan Dung, Bao, Wei, Seneviratne, Suranga, Hong, Choong Seon, Tran, Nguyen H.
Publikováno v:
IEEE/ACM Transactions on Networking On page(s): 1-16 Print ISSN: 1063-6692 Online ISSN: 1558-2566 Digital Object Identifier: 10.1109/TNET.2024.3423780
With the proliferation of the Internet of Things (IoT) and the rising interconnectedness of devices, network security faces significant challenges, especially from anomalous activities. While traditional machine learning-based intrusion detection sys
Externí odkaz:
http://arxiv.org/abs/2407.07421
With the increasing trend of Machine Learning (ML) enabled software applications, the paradigm of ML Operations (MLOps) has gained tremendous attention of researchers and practitioners. MLOps encompasses the practices and technologies for streamlinin
Externí odkaz:
http://arxiv.org/abs/2406.09737
Publikováno v:
The 6th International Conference for Small & Medium Business in 2020 (ICSMB 2020)
In recent years, a study by environmental organizations in the world and Vietnam shows that weather change is quite complex. global warming has become a serious problem in the modern world, which is a concern for scientists. last century, it was diff
Externí odkaz:
http://arxiv.org/abs/2405.17582
While astonishingly capable, large Language Models (LLM) can sometimes produce outputs that deviate from human expectations. Such deviations necessitate an alignment phase to prevent disseminating untruthful, toxic, or biased information. Traditional
Externí odkaz:
http://arxiv.org/abs/2405.15230
Autor:
Psomas, Constantinos, Ntougias, Konstantinos, Shanin, Nikita, Xu, Dongfang, Mayer, Kenneth MacSporran, Tran, Nguyen Minh, Cottatellucci, Laura, Choi, Kae Won, Kim, Dong In, Schober, Robert, Krikidis, Ioannis
Wireless information and energy transfer (WIET) represents an emerging paradigm which employs controllable transmission of radio-frequency signals for the dual purpose of data communication and wireless charging. As such, WIET is widely regarded as a
Externí odkaz:
http://arxiv.org/abs/2404.18705
Beyond class frequency, we recognize the impact of class-wise relationships among various class-specific predictions and the imbalance in label masks on long-tailed segmentation learning. To address these challenges, we propose an innovative Pixel-wi
Externí odkaz:
http://arxiv.org/abs/2404.05393