Zobrazeno 1 - 10
of 15 525
pro vyhledávání: '"Than, Aye"'
Autor:
Islam, Md. Touhidul, Chowdhury, Md. Abtahi M., Salekin, Sumaiya, Maung, Aye T., Taki, Akil A., Imtiaz, Hafiz
In contrast to non-medical image denoising, where enhancing image clarity is the primary goal, medical image denoising warrants preservation of crucial features without introduction of new artifacts. However, many denoising methods that improve the c
Externí odkaz:
http://arxiv.org/abs/2411.19549
Autor:
Barash, Danny, Manning, Emilie, Van Vleck, Aidan, Hirsch, Omri, Aye, Kyi Lei, Li, Jingxi, Scumpia, Philip O., Ozcan, Aydogan, Aasi, Sumaira, Rieger, Kerri E., Sarin, Kavita Y., Freifeld, Oren, Winetraub, Yonatan
Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to analyze this data and assist clinical workflow. The lack of expert label
Externí odkaz:
http://arxiv.org/abs/2411.11613
Autor:
Aung, Aye Phyu Phyu, Wang, Xinrun, Wang, Ruiyu, Chan, Hau, An, Bo, Li, Xiaoli, Senthilnath, J.
In this paper, we propose a new approach to train deep learning models using game theory concepts including Generative Adversarial Networks (GANs) and Adversarial Training (AT) where we deploy a double-oracle framework using best response oracles. GA
Externí odkaz:
http://arxiv.org/abs/2410.04764
Continual learning (CL) adapt the deep learning scenarios with timely updated datasets. However, existing CL models suffer from the catastrophic forgetting issue, where new knowledge replaces past learning. In this paper, we propose Continual Learnin
Externí odkaz:
http://arxiv.org/abs/2409.17806
Autor:
Braun, J., Rahbari, I., Paniagua, G., Addo, P. Aye, Garicano-Mena, J., Valero, E, Clainche, S. Le
Publikováno v:
Experimental Thermal and Fluid Science, Volume 150, 1 January 2024
A canonical wavy surface exposed to a Mach 2 flow is investigated through high-frequency Pressure Sensitive Paint (PSP), Kulite measurements, and shadowgraph imaging. The wavy surface features a compression and expansion region, two shock-boundary la
Externí odkaz:
http://arxiv.org/abs/2409.15836
Molecular optimization is a key challenge in drug discovery and material science domain, involving the design of molecules with desired properties. Existing methods focus predominantly on single-property optimization, necessitating repetitive runs to
Externí odkaz:
http://arxiv.org/abs/2409.07786
Continual learning (CL) models are designed to learn new tasks arriving sequentially without re-training the network. However, real-world ML applications have very limited label information and these models suffer from catastrophic forgetting. To add
Externí odkaz:
http://arxiv.org/abs/2405.14623
Autor:
Senthilnath, J., Zhou, Bangjian, Ng, Zhen Wei, Aggarwal, Deeksha, Dutta, Rajdeep, Yoon, Ji Wei, Aung, Aye Phyu Phyu, Wu, Keyu, Wu, Min, Li, Xiaoli
In the realm of sequential decision-making tasks, the exploration capability of a reinforcement learning (RL) agent is paramount for achieving high rewards through interactions with the environment. To enhance this crucial ability, we propose SAQN, a
Externí odkaz:
http://arxiv.org/abs/2402.11604
Autor:
May, Aye Chan, Seesanea, Adisak
We give a constructive approach for the study of integral representations of classical solutions to Poisson equations under some integrability conditions on data functions.
Comment: 17
Comment: 17
Externí odkaz:
http://arxiv.org/abs/2401.04329
Autor:
Ben-Jaffel, Lotfi, Moses, Julie, West, Robert A., aye, M-K., Bradley, Eric T., Clarke, John T., Holber, Jay B., Ballester, Gilda E.
Publikováno v:
Planet. Sci. J. 4 54 (2023)
A planet's Lyman-{\alpha} (Ly{\alpha}) emission is sensitive to its thermospheric structure. Here, we report joint Hubble Space Telescope (HST) and Cassini cross-calibration observations of the Saturn Ly{\alpha} emission made two weeks before the Cas
Externí odkaz:
http://arxiv.org/abs/2311.14191