Zobrazeno 1 - 10
of 726
pro vyhledávání: '"Tran, Khoa A."'
Singing is one of the most cherished forms of human entertainment. However, creating a beautiful song requires an accompaniment that complements the vocals and aligns well with the song instruments and genre. With advancements in deep learning, previ
Externí odkaz:
http://arxiv.org/abs/2411.01661
For any subgroup $G$ of the symmetric group $\mathcal{S}_n$ on $n$ symbols, we present results for the uniform $\mathcal{C}^k$ approximation of $G$-invariant functions by $G$-invariant polynomials. For the case of totally symmetric functions ($G = \m
Externí odkaz:
http://arxiv.org/abs/2403.01339
Autor:
Tran, Khoa, Leok, Melvin
The problem of 3-dimensional, convex rigid-body collision over a plane is fully investigated; this includes bodies with sharp corners that is resolved without the need for nonsmooth convex analysis of tangent and normal cones. In particular, using no
Externí odkaz:
http://arxiv.org/abs/2310.15356
Motor bearing fault detection (MBFD) is critical for maintaining the reliability and operational efficiency of industrial machinery. Early detection of bearing faults can prevent system failures, reduce operational downtime, and lower maintenance cos
Externí odkaz:
http://arxiv.org/abs/2310.11477
This paper addresses the challenge of safe navigation for rigid-body mobile robots in dynamic environments. We introduce an analytic approach to compute the distance between a polygon and an ellipse, and employ it to construct a control barrier funct
Externí odkaz:
http://arxiv.org/abs/2310.00273
In this paper, a Robust Multi-branch Deep learning-based system for remaining useful life (RUL) prediction and condition operations (CO) identification of rotating machines is proposed. In particular, the proposed system comprises main components: (1
Externí odkaz:
http://arxiv.org/abs/2309.06157
Publikováno v:
International Journal of Organizational Analysis, 2023, Vol. 32, Issue 7, pp. 1302-1321.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOA-05-2023-3750
Autor:
Le, Ha V1,2 (AUTHOR), Tran, Khoa D1,2 (AUTHOR), Nguyen, Hanh HM1,2 (AUTHOR), Nguyen, Kiet TA1,2 (AUTHOR), Bui, Ha T1,2 (AUTHOR), Nguyen, Trang TP1,2 (AUTHOR), Ho, Phuoc H3 (AUTHOR) phuoc@chalmers.se, Nguyen, Khoa D1,2 (AUTHOR)
Publikováno v:
Journal of Chemical Research. Sep2024, Vol. 48 Issue 5, p1-11. 11p.
Autor:
Pham, Ngoc Duy, Phan, Tran Khoa, Abuadbba, Alsharif, Gao, Yansong, Nguyen, Doan, Chilamkurti, Naveen
Split learning (SL) aims to protect user data privacy by distributing deep models between client-server and keeping private data locally. In SL training with multiple clients, the local model weights are shared among the clients for local model updat
Externí odkaz:
http://arxiv.org/abs/2212.00250
Autor:
Pham, Lam, Salovic, Dusan, Jalali, Anahid, Schindler, Alexander, Tran, Khoa, Vu, Canh, Nguyen, Phu X.
In this paper, we present a comprehensive analysis of Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording from its acoustic signature. In particular, we firstly propose an inception-based and low footprint ASC
Externí odkaz:
http://arxiv.org/abs/2210.08610