Zobrazeno 1 - 10
of 1 191
pro vyhledávání: '"Lu Chenyang"'
Autor:
Zhao Qianming, Lu Chenyang, Pei Zhiyang, Gong Pihong, Li Junqiang, Jian Fuchun, Jing Bo, Qi Meng, Ning Changshen
Publikováno v:
Parasite, Vol 30, p 2 (2023)
Giardia duodenalis is a common zoonotic intestinal parasitic protozoan and sheep are among its hosts; however, limited information is available on sheep kept in large-scale housing. The Hu sheep is a first-class protected local livestock breed in Chi
Externí odkaz:
https://doaj.org/article/a5665c2311f6467fbc20a5ea761e7bb2
The precise categorization of white blood cell (WBC) is crucial for diagnosing blood-related disorders. However, manual analysis in clinical settings is time-consuming, labor-intensive, and prone to errors. Numerous studies have employed machine lear
Externí odkaz:
http://arxiv.org/abs/2405.16220
Autor:
Guan, Huaqing, Cui, Hanwen, Ding, Ning, Yang, Kuo, Jiang, Siqi, Sui, Yanfei, Wang, Yuanyuan, Tian, Fuyang, Li, Zhe, Wang, Shuai, Zheng, Pengfei, Lu, Chenyang, Xu, Qiu, Vitos, Levente, Huang, Shaosong
Manipulating point defects for tailored macroscopic properties remains a formidable challenge in materials science. This study demonstrates a proof-of-principle for a universal law involving element Mn, significantly enhancing vacancy diffusion throu
Externí odkaz:
http://arxiv.org/abs/2404.03339
Clinical notes recorded during a patient's perioperative journey holds immense informational value. Advances in large language models (LLMs) offer opportunities for bridging this gap. Using 84,875 pre-operative notes and its associated surgical cases
Externí odkaz:
http://arxiv.org/abs/2402.17493
IoT devices are increasingly the source of data for machine learning (ML) applications running on edge servers. Data transmissions from devices to servers are often over local wireless networks whose bandwidth is not just limited but, more importantl
Externí odkaz:
http://arxiv.org/abs/2310.05306
Survey data can contain a high number of features while having a comparatively low quantity of examples. Machine learning models that attempt to predict outcomes from survey data under these conditions can overfit and result in poor generalizability.
Externí odkaz:
http://arxiv.org/abs/2308.09892
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Autor:
Xue, Bing, Said, Ahmed Sameh, Xu, Ziqi, Liu, Hanyang, Shah, Neel, Yang, Hanqing, Payne, Philip, Lu, Chenyang
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporting modality for COVID-19 patients who are refractory to conventional therapies. However, the proper treatment decision has been the subject of significant debate and it remains c
Externí odkaz:
http://arxiv.org/abs/2307.03315
This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that improves the computational efficiency of semantic segmentation networks that use Vision Transformers (ViTs). Existing works have proposed token reduction approac
Externí odkaz:
http://arxiv.org/abs/2306.02095
We present a proof-of-principle demonstration of a universal law for the element Mn, which greatly enhances vacancy diffusion through an anomalous Friedel Oscillation effect in a series of Ni-based concentrated solid-solution alloys, regardless of th
Externí odkaz:
http://arxiv.org/abs/2303.15172
Autor:
Li, Dingwen, Xue, Bing, King, Christopher, Fritz, Bradley, Avidan, Michael, Abraham, Joanna, Lu, Chenyang
Major postoperative complications are devastating to surgical patients. Some of these complications are potentially preventable via early predictions based on intraoperative data. However, intraoperative data comprise long and fine-grained multivaria
Externí odkaz:
http://arxiv.org/abs/2210.04417