Zobrazeno 1 - 10
of 1 591
pro vyhledávání: '"Wong, Ken"'
Publikováno v:
Journal for Religion, Film and Media, Vol Jahrgang 9 (2023), Iss Heft 1, Pp 13-24 (2023)
In this interview, conducted by issue editors Frank Bosman and Alexander D. Ornellain August 2022, Ken Wong discusses the relationship between video game design,video game aesthetics, religious imagery, and cultural storytelling. He discusses how(sec
Externí odkaz:
https://doaj.org/article/a244bcd767924b55bd9a85a603c48111
Autor:
Kashyap, Satyananda, D'Souza, Niharika S., Shi, Luyao, Wong, Ken C. L., Wang, Hongzhi, Syeda-Mahmood, Tanveer
Content-addressable memories such as Modern Hopfield Networks (MHN) have been studied as mathematical models of auto-association and storage/retrieval in the human declarative memory, yet their practical use for large-scale content storage faces chal
Externí odkaz:
http://arxiv.org/abs/2409.16408
Autor:
Agilinko, Joshua, Raj, Dharshanan, Wong, Ken Vin, Fanelli, Daniele, Ng, Nicklaus, Agilinko, Bertrand, Hasan, Mohammad
Publikováno v:
GMS German Medical Science, Vol 19, p Doc05 (2021)
Cronin and Gerow first introduced silicone breast implants in 1962; they now serve as first-line for breast augmentation. Breast augmentation is effective in restoring both physical and psychological well-being in women post-mastectomy.Many studies i
Externí odkaz:
https://doaj.org/article/c636a6c356974b378787bf14538c8474
Autor:
Wong, Ken C. L., Klein, Levente, da Silva, Ademir Ferreira, Wang, Hongzhi, Singh, Jitendra, Syeda-Mahmood, Tanveer
Soil organic carbon (SOC) sequestration is the transfer and storage of atmospheric carbon dioxide in soils, which plays an important role in climate change mitigation. SOC concentration can be improved by proper land use, thus it is beneficial if SOC
Externí odkaz:
http://arxiv.org/abs/2311.13016
With the introduction of Transformers, different attention-based models have been proposed for image segmentation with promising results. Although self-attention allows capturing of long-range dependencies, it suffers from a quadratic complexity in t
Externí odkaz:
http://arxiv.org/abs/2310.04466
Due to the computational complexity of 3D medical image segmentation, training with downsampled images is a common remedy for out-of-memory errors in deep learning. Nevertheless, as standard spatial convolution is sensitive to variations in image res
Externí odkaz:
http://arxiv.org/abs/2310.03872
Autor:
Mamo, Tadios Tesfaye, Qorbani, Mohammad, Hailemariam, Adane Gebresilassie, Putikam, Raghunath, Chu, Che-Men, Ko, Ting-Rong, Sabbah, Amr, Huang, Chih-Yang, Kholimatussadiah, Septia, Billo, Tadesse, Hussien, Mahmoud Kamal, Chang, Shuo-Yun, Lin, Ming-Chang, Woon, Wei-Yen, Wu, Heng-Liang, Wong, Ken-Tsung, Chen, Li-Chyong, Chen, Kuei-Hsien
Publikováno v:
In Nano Energy September 2024 128 Part A
Autor:
Wong, Ken C. L., Moradi, Mehdi
The convolutional layer and loss function are two fundamental components in deep learning. Because of the success of conventional deep learning kernels, the less versatile Gabor kernels become less popular despite the fact that they can provide abund
Externí odkaz:
http://arxiv.org/abs/2201.03644
Autor:
Wong, Ken C. L., Wang, Hongzhi, Vos, Etienne E., Zadrozny, Bianca, Watson, Campbell D., Syeda-Mahmood, Tanveer
Global warming leads to the increase in frequency and intensity of climate extremes that cause tremendous loss of lives and property. Accurate long-range climate prediction allows more time for preparation and disaster risk management for such extrem
Externí odkaz:
http://arxiv.org/abs/2112.05254
Network-based transfer learning allows the reuse of deep learning features with limited data, but the resulting models can be unnecessarily large. Although network pruning can improve inference efficiency, existing algorithms usually require fine-tun
Externí odkaz:
http://arxiv.org/abs/2108.02893