Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Pham, Chi P."'
Dosimetry is an essential tool to provide the best and safest radio-therapies to a patient. In this field, Monte-Carlo simulations are considered to be the golden standard for predicting accurately the deposited dose in the body. Such methods are ver
Externí odkaz:
http://arxiv.org/abs/2405.02477
Publikováno v:
Physica D: Nonlinear Phenomena 463, 134164 (2024)
We show that the natural resonant frequency of a suspended flexible string is significantly modified (by one order of magnitude) by adding a freely pivoting attached mass at its lower end. This articulated system then exhibits complex nonlinear dynam
Externí odkaz:
http://arxiv.org/abs/2404.16531
We propose a procedure for computing the direct scattering transform of the periodic sine-Gordon equation. This procedure, previously used within the periodic Korteweg-de Vries equation framework, is implemented for the case of the sine-Gordon equati
Externí odkaz:
http://arxiv.org/abs/2311.14827
Publikováno v:
Physical Review E 107, 045101 (2023)
We report the observation of nonlinear three-wave resonant interactions between two different branches of the dispersion relation of hydrodynamic waves, namely the gravity-capillary and sloshing modes. These atypical interactions are investigated wit
Externí odkaz:
http://arxiv.org/abs/2304.05668
Publikováno v:
Europhysics Letters (EPL) 139, 53003 (2022)
We report on the experimental observation of solitons propagating along a torus of fluid. We show that such a periodic system leads to significant differences compared to the classical plane geometry. In particular, we highlight the observation of su
Externí odkaz:
http://arxiv.org/abs/2204.11490
Publikováno v:
Physical Review Letters, American Physical Society, In press
We report the observation of gravity-capillary waves on a torus of fluid. By means of an original technique, a stable torus is achieved by depositing water on a superhydrophobic groove with a shallow wedge-shaped channel running along its perimeter.
Externí odkaz:
http://arxiv.org/abs/2108.08005
Autor:
Nguyen, Ha Q., Lam, Khanh, Le, Linh T., Pham, Hieu H., Tran, Dat Q., Nguyen, Dung B., Le, Dung D., Pham, Chi M., Tong, Hang T. T., Dinh, Diep H., Do, Cuong D., Doan, Luu T., Nguyen, Cuong N., Nguyen, Binh T., Nguyen, Que V., Hoang, Au D., Phan, Hien N., Nguyen, Anh T., Ho, Phuong H., Ngo, Dat T., Nguyen, Nghia T., Nguyen, Nhan T., Dao, Minh, Vu, Van
Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormaliti
Externí odkaz:
http://arxiv.org/abs/2012.15029
Autoencoders and generative models produce some of the most spectacular deep learning results to date. However, understanding and controlling the latent space of these models presents a considerable challenge. Drawing inspiration from principal compo
Externí odkaz:
http://arxiv.org/abs/2006.07827