Zobrazeno 1 - 10
of 4 894
pro vyhledávání: '"Bo, Cheng"'
Ultra-fine-grained image recognition (UFGIR) categorizes objects with extremely small differences between classes, such as distinguishing between cultivars within the same species, as opposed to species-level classification in fine-grained image reco
Externí odkaz:
http://arxiv.org/abs/2409.11051
Autor:
Lin, Yu-Fan, Cheng, Ching-Heng, Qiu, Bo-Cheng, Kang, Cheng-Jun, Lee, Chia-Ming, Hsu, Chih-Chung
Fusarium Head Blight (FHB) is a serious fungal disease affecting wheat (including durum), barley, oats, other small cereal grains, and corn. Effective monitoring and accurate detection of FHB are crucial to ensuring stable and reliable food security.
Externí odkaz:
http://arxiv.org/abs/2409.00395
Fine-grained recognition involves the classification of images from subordinate macro-categories, and it is challenging due to small inter-class differences. To overcome this, most methods perform discriminative feature selection enabled by a feature
Externí odkaz:
http://arxiv.org/abs/2407.12891
Autor:
Liu, Xiaohan, Chen, ChiJui, Huang, YanLun, Yang, LingChi, Khoda, Elham E, Chen, Yihui, Hauck, Scott, Hsu, Shih-Chieh, Lai, Bo-Cheng
Publikováno v:
Fast Machine Learning for Science, ICCAD 2023
Large-scale recordings of neural activity are providing new opportunities to study neural population dynamics. A powerful method for analyzing such high-dimensional measurements is to deploy an algorithm to learn the low-dimensional latent dynamics.
Externí odkaz:
http://arxiv.org/abs/2402.04274
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Dental diseases such as caries and periodontitis have been common public health problems. Dental disease treatment can be achieved through stem cell-based dental regeneration. Biophysical cues determine the fate of stem cells and govern the
Externí odkaz:
https://doaj.org/article/12ee5704fe954564902e9bbe11f3b42f
Comparison of human pluripotent stem cell differentiation protocols to generate neuroblastoma tumors
Autor:
Bo Cheng, Wanqi Fang, Steven Pastor, Alexander R. March, Tania Porras, Hong-Wei Wu, Miriam Velez, Chintan Parekh, John M. Maris, Shahab Asgharzadeh, Miller Huang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Neuroblastoma is the most common pediatric extracranial solid tumor and is derived from trunk neural crest cells (tNCC) and its progenitor sympathoadrenal (SA) cells. While human pluripotent stem cell (PSC) models of neuroblastoma have been
Externí odkaz:
https://doaj.org/article/8060f3e4246446d5ad9a05f143d8aa9b
Autor:
Xiao-Fang Lu, Tao Huang, Chang Chen, Jing Zhang, Xu-Yong Fu, Bo Cheng, Ya-Yan Zhou, Jia Lei, Da-Lin Lu
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-8 (2024)
Abstract Background Endometrial cancer (EC) tissues express CYP7B1, but its association with prognosis needs to be investigated. Methods Immunohistochemistry and image analysis software were used to assess CYP7B1 protein expression in paraffin-embedd
Externí odkaz:
https://doaj.org/article/4a0d360904284efbb793dc088111955b
Autor:
Bo Cheng, Hai-yan Dai, Tie-jun Liu, Hu Liu, Jin-rong Li, Rui-jun Qiao, Yang Shao, Sheng-li Wang, Jian Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract We aimed to explore the mineralization characteristics of soil organic carbon(SOC) under different plant species in semi-arid grassland and provide basic soil carbon cycling data. Leymus chinensis, Stipa krylovii Roshev, Artemisia frigida, a
Externí odkaz:
https://doaj.org/article/8f782c7aeb40471fb459d07f4df226b2
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-17 (2024)
Abstract Maxillofacial bone defects can severely impact quality of life by impairing physiological functions such as chewing, breathing, swallowing, and pronunciation. Polyether ether ketone (PEEK) is commonly used for the repair of maxillofacial def
Externí odkaz:
https://doaj.org/article/5ce2be4bf88e46b9829a603b6d02789e
Autor:
Huang, Shi-Yu, Yang, Yun-Chen, Su, Yu-Ru, Lai, Bo-Cheng, Duarte, Javier, Hauck, Scott, Hsu, Shih-Chieh, Hu, Jin-Xuan, Neubauer, Mark S.
In-time particle trajectory reconstruction in the Large Hadron Collider is challenging due to the high collision rate and numerous particle hits. Using GNN (Graph Neural Network) on FPGA has enabled superior accuracy with flexible trajectory classifi
Externí odkaz:
http://arxiv.org/abs/2306.11330