Zobrazeno 1 - 10
of 15 109
pro vyhledávání: '"Than Aye"'
Autor:
Noor Faradilla Abdullah, Ke Xin Yu, Santhra Segaran Balan, Chin Siang Kue, Muhammad Jefri Mohd Yusof, Suresh Kumar, Chean Hui Ng, Seok Tyug Tan, Ananth Sailoganathan, Siti Zaharah Rosli, Win Win May, Than Aye Than
Publikováno v:
Life Sciences, Medicine and Biomedicine, Vol 7, Iss 1 (2023)
The 20th International Medical, Pharmaceutical, Cosmeceutical & Health Science Symposium (iMPaCHS) is an annual symposium co-organized by Faculty of Life and Health Sciences, International Medical School, School of Pharmacy, Management & Science of t
Externí odkaz:
https://doaj.org/article/cb9ef94eb76e49a2828b43eec6b72df2
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
Autor:
Dowran, Mohammadjavad, Win, Aye L., Jain, Umang, Kumar, Ashok, Lawrie, Benjamin J., Pooser, Raphael C., Marino, Alberto M.
Publikováno v:
ACS Photonics 11, 3037-3045 (2024)
Quantum metrology takes advantage of quantum correlations to enhance the sensitivity of sensors and measurement techniques beyond their fundamental classical limit given by the shot noise limit. The use of both temporal and spatial correlations prese
Externí odkaz:
http://arxiv.org/abs/2311.01560