Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Dadong Wan"'
Autor:
Md. Shariful Alam, Dadong Wang, Yulia Arzhaeva, Jesse Alexander Ende, Joanna Kao, Liz Silverstone, Deborah Yates, Olivier Salvado, Arcot Sowmya
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due to the wide variation in lung appearance caused by disease progression and differing X-ray settings. While deep learning models have shown re
Externí odkaz:
https://doaj.org/article/35d2b4d8068744e7b639bbf5d220194f
DLA-Net: dual lesion attention network for classification of pneumoconiosis using chest X-ray images
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Accurate and early detection of pneumoconiosis using chest X-rays (CXR) is important for preventing the progression of this incurable disease. It is also a challenging task due to large variations in appearance, size and location of lesions
Externí odkaz:
https://doaj.org/article/fb4dd0667e1f40e6a47bf93efaab788e
Autor:
Hatem Saifeldin, Juan Osorio, Mingze Xi, Barbara Safwat, Muhammad Khokher, Shenghong Li, Mostafa Ashmawy, Lobna Shalaby, Samuel Khela, Khoa Le, Sen Le, Dadong Wang
Publikováno v:
Ain Shams Dental Journal, Vol 33, Iss 1, Pp 1-10 (2024)
AbstractAim: The objective of this prospective study was to evaluate the accuracy of cephalometric analyses acquired through manual tracing and the Eyes of AITM AI-driven web-based program.Materials and Methods: This prospective study employed random
Externí odkaz:
https://doaj.org/article/c3e42a207818471086c2251188cf9765
Autor:
Keshuo Lin, Wei Wen, Darren M. Lipnicki, Louise Mewton, Rory Chen, Jing Du, Dadong Wang, Ingmar Skoog, Therese Rydberg Sterner, Jenna Najar, Ki Woong Kim, Ji Won Han, Jun Sung Kim, Tze Pin Ng, Roger Ho, Denise Qian Ling Chua, Kaarin J. Anstey, Nicolas Cherbuin, Moyra E. Mortby, Henry Brodaty, Nicole Kochan, Perminder S. Sachdev, Jiyang Jiang, for the Cohort Studies of Memory in an International Consortium (COSMIC)
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract INTRODUCTION White matter hyperintensities (WMHs) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well documented in populations of different ethnicities and
Externí odkaz:
https://doaj.org/article/dcc854f6f0b244749f16da5322b64e8d
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0289453 (2024)
Singing voice separation on robots faces the problem of interpreting ambiguous auditory signals. The acoustic signal, which the humanoid robot perceives through its onboard microphones, is a mixture of singing voice, music, and noise, with distortion
Externí odkaz:
https://doaj.org/article/0b796784f8df46eea81cde8f09ac923c
Publikováno v:
Du, Jinhua ORCID: 0000-0002-3267-4881 , Han, Jingguang, Way, Andy ORCID: 0000-0001-5736-5930 and Wan, Dadong (2018) Multi-level structured self-attentions for distantly supervised relation extraction. In: 2018 Conference on Empirical Methods in Natural Language Processing, 31 Oct-4 Nov 2018, Brussels, Belgium.
EMNLP
EMNLP
Attention mechanisms are often used in deep neural networks for distantly supervised relation extraction (DS-RE) to distinguish valid from noisy instances. However, traditional 1-D vector attention models are insufficient for the learning of differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aead1794daf19661b26e12659782189b
http://arxiv.org/abs/1809.00699
http://arxiv.org/abs/1809.00699
Publikováno v:
Han, Jingguang, Barman, Utsab, Hayes, Jer, Du, Jinhua ORCID: 0000-0002-3267-4881 , Burgin, Edward and Wan, Dadong (2018) NextGen AML: distributed deep learning based language technologies to augment anti money laundering Investigation. In: 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations, 15-20 July 201, Melbourne, Australia.
ACL (4)
ACL (4)
Most of the current anti money laundering (AML) systems, using handcrafted rules, are heavily reliant on existing structured databases, which are not capable of effectively and efficiently identifying hidden and complex ML activities, especially thos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25497eb7f529bb4c10f68bf3866b0de
http://doras.dcu.ie/23358/
http://doras.dcu.ie/23358/
Autor:
Muhammad Rizwan Khokher, Qiyu Liao, Adam L. Smith, Changming Sun, Donald Mackenzie, Mark R. Thomas, Dadong Wang, Everard J. Edwards
Publikováno v:
IEEE Access, Vol 11, Pp 37790-37808 (2023)
In viticulture, yield estimation is a key activity, which is important throughout the wine industry value chain. The earlier that an accurate yield estimation can be made the greater its value, increasing management options for grape growers and comm
Externí odkaz:
https://doaj.org/article/953c8605d90e40928d648dfe9a1ed785
Autor:
Dadong Wan
Publikováno v:
Personal Technologies. 4:234-237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3525998810ef326013cef95a8fb6586d
https://doi.org/10.1007/bf02391565
https://doi.org/10.1007/bf02391565
Publikováno v:
NeuroImage, Vol 261, Iss , Pp 119528- (2022)
Cerebral small vessel disease (CSVD) is a major vascular contributor to cognitive impairment in ageing, including dementias. Imaging remains the most promising method for in vivo studies of CSVD. To replace the subjective and laborious visual rating
Externí odkaz:
https://doaj.org/article/f662f09e8f1243b097b41404d80b30be