Zobrazeno 1 - 10
of 1 209
pro vyhledávání: '"Nguyen, Truc"'
Smart inverters are instrumental in the integration of renewable and distributed energy resources (DERs) into the electric grid. Such inverters rely on communication layers for continuous control and monitoring, potentially exposing them to cyber-phy
Externí odkaz:
http://arxiv.org/abs/2411.12130
Autor:
Nguyen, Thong, Nguyen, Truc-My
Counterfactual statements, which describe events that did not or cannot take place, are beneficial to numerous NLP applications. Hence, we consider the problem of counterfactual detection (CFD) and seek to enhance the CFD models. Previous models are
Externí odkaz:
http://arxiv.org/abs/2409.16668
Despite its significant benefits in enhancing the transparency and trustworthiness of artificial intelligence (AI) systems, explainable AI (XAI) has yet to reach its full potential in real-world applications. One key challenge is that XAI can uninten
Externí odkaz:
http://arxiv.org/abs/2409.08919
With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disrupt the system's stability like frequency stability, thereby leading to
Externí odkaz:
http://arxiv.org/abs/2409.04609
Autor:
Tran, Thi Nhan, Duy, Nguyen Vo Anh, Hieu, Nguyen Hoang, Nguyen, Truc Anh, Van, Nguyen To, Phung, Viet Bac Thi, Schall, Peter, Dang, Minh Triet
Enhancing the electronic and diffusion properties of lithium-ion batteries is crucial for improving the performance of the fast-growing energy storage devices. Recently, fast-charging capability of commercial-like lithium-ion anodes with the least mo
Externí odkaz:
http://arxiv.org/abs/2406.13096
Surrogate models are used to predict the behavior of complex energy systems that are too expensive to simulate with traditional numerical methods. Our work introduces the use of language descriptions, which we call "system captions" or SysCaps, to in
Externí odkaz:
http://arxiv.org/abs/2405.19653
With the rapid adoption of Federated Learning (FL) as the training and tuning protocol for applications utilizing Large Language Models (LLMs), recent research highlights the need for significant modifications to FL to accommodate the large-scale of
Externí odkaz:
http://arxiv.org/abs/2403.04784
Federated Learning (FL) has garnered significant attention for its potential to protect user privacy while enhancing model training efficiency. For that reason, FL has found its use in various domains, from healthcare to industrial engineering, espec
Externí odkaz:
http://arxiv.org/abs/2311.13739
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss Special Issue 2, Pp 278-287 (2024)
Nutritional education for elementary school students is increasingly being emphasized due to the growing number of children suffering from nutritional-related diseases. This research investigates the current status of nutrition education at the prim
Externí odkaz:
https://doaj.org/article/19f7fb92417a4b2780d3f47c7febd2b9
Publikováno v:
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5714-5730, 2023
Federated learning (FL) was originally regarded as a framework for collaborative learning among clients with data privacy protection through a coordinating server. In this paper, we propose a new active membership inference (AMI) attack carried out b
Externí odkaz:
http://arxiv.org/abs/2302.12685