Zobrazeno 1 - 10
of 1 865
pro vyhledávání: '"Tran, An Tuan"'
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
Data-Free Knowledge Distillation (DFKD) is an advanced technique that enables knowledge transfer from a teacher model to a student model without relying on original training data. While DFKD methods have achieved success on smaller datasets like CIFA
Externí odkaz:
http://arxiv.org/abs/2411.17046
Publikováno v:
2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM), Hanoi, Vietnam, 2023, pp. 01-06
This paper presents a scaling study on the planning phase of a multi-energy system (MES), which is becoming increasingly prominent in the energy sector. The research aims to investigate the interactions and challenges associated with integrating heat
Externí odkaz:
http://arxiv.org/abs/2410.17603
Autor:
Schwarz, Jan Sören, Perez, Leonard Enrique Ramos, Pham, Minh Cong, Heussen, Kai, Tran, Quoc Tuan
Publikováno v:
2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), Vienna, Austria, 2024, pp. 1-7
In context of highly complex energy system experiments, sensitivity analysis is gaining more and more importance to investigate the effects changing parameterization has on the outcome. Thus, it is crucial how to design an experiment to efficiently u
Externí odkaz:
http://arxiv.org/abs/2410.16923
Pain is a more intuitive and user-friendly way of communicating problems, making it especially useful in rehabilitation nurse training robots. While most previous methods have focused on classifying or recognizing pain expressions, these approaches o
Externí odkaz:
http://arxiv.org/abs/2409.11635
The advancements in generative AI have enabled the improvement of audio synthesis models, including text-to-speech and voice conversion. This raises concerns about its potential misuse in social manipulation and political interference, as synthetic s
Externí odkaz:
http://arxiv.org/abs/2409.07390
Publikováno v:
Physica B: Condensed Matter 2024
In this study, based on the quantum kinetic equation approach, we systematically present the radio-electric effect in asymmetric semi-parabolic quantum wells under the influence of a laser radiation field taking into account the electron-longitudinal
Externí odkaz:
http://arxiv.org/abs/2407.09938
Autor:
Tran, Minh-Tuan
User experience on mobile devices is constrained by limited battery capacity and processing power, but 6G technology advancements are diving rapidly into mobile technical evolution. Mobile edge computing (MEC) offers a solution, offloading computatio
Externí odkaz:
http://arxiv.org/abs/2406.19871
Autor:
Tran, Phong, Zakharov, Egor, Ho, Long-Nhat, Hu, Liwen, Karmanov, Adilbek, Agarwal, Aviral, Goldwhite, McLean, Venegas, Ariana Bermudez, Tran, Anh Tuan, Li, Hao
We introduce VOODOO XP: a 3D-aware one-shot head reenactment method that can generate highly expressive facial expressions from any input driver video and a single 2D portrait. Our solution is real-time, view-consistent, and can be instantly used wit
Externí odkaz:
http://arxiv.org/abs/2405.16204
Multivariate time series classification (MTSC) has attracted significant research attention due to its diverse real-world applications. Recently, exploiting transformers for MTSC has achieved state-of-the-art performance. However, existing methods fo
Externí odkaz:
http://arxiv.org/abs/2405.14608