机构

• 计算技术研究所 [18]

采集方式

• OAI收割 [18]

内容类型

• 期刊论文 [18]

发表日期

• 2021 [18]

学科主题

筛选

浏览/检索结果: 共18条，第1-10条 帮助 限定条件 内容类型：期刊论文    发表日期：2021    专题：计算技术研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A deep-learning-based framework for severity assessment of COVID-19 with CT images 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 185, 页码: 11 作者:  Li, Zhidan;  Zhao, Shixuan;  Chen, Yang;  Luo, Fuya;  Kang, Zhiqing   |  收藏  |  浏览/下载：64/0  |  提交时间：2021/12/01 COVID-19  Deep learning  Severity assessment  Multi-view lesion  Dual-Siamese channels  Clinical metadata   Systematic Survey of the Alteration of the Faecal Microbiota in Rats With Gastrointestinal Disorder and Modulation by Multicomponent Drugs 期刊论文  OAI收割 FRONTIERS IN PHARMACOLOGY, 2021, 卷号: 12, 页码: 13 作者:  Wu, Yue;  Wu, Yang;  Wu, Hongwei;  Wu, Changxun;  Ji, Enhui   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/06/21 XEFP  functional dyspepsia  intestinal flora  metabonomics  network pharmacology   SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images 期刊论文  OAI收割 PATTERN RECOGNITION, 2021, 卷号: 119, 页码: 12 作者:  Zhao, Shixuan;  Li, Zhidan;  Chen, Yang;  Zhao, Wei;  Xie, Xingzhi   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/12/01 COVID-19  Convolutional neural network  Segmentation  Lung opacification  Attention mechanism   High Throughput Transcriptome Data Analysis and Computational Verification Reveal Immunotherapy Biomarkers of Compound Kushen Injection for Treating Triple-Negative Breast Cancer 期刊论文  OAI收割 FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 23 作者:  Liu, Xinkui;  Wu, Yang;  Zhang, Yingying;  Bu, Dechao;  Wu, Chao   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/06/21 compound kushen injection  triple-negative breast cancer  RNA sequencing  tumor microenvironment  prognostic signature   Tumor cells generate astrocyte-like cells that contribute to SHH-driven medulloblastoma relapse 期刊论文  OAI收割 JOURNAL OF EXPERIMENTAL MEDICINE, 2021, 卷号: 218, 期号: 9, 页码: 22 作者:  Guo, Duancheng;  Wang, Yuan;  Cheng, Yan;  Liao, Shengyou;  Hu, Jian   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/12/01 KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis 期刊论文  OAI收割 NUCLEIC ACIDS RESEARCH, 2021, 卷号: 49, 期号: W1, 页码: W317-W325 作者:  Bu, Dechao;  Luo, Haitao;  Huo, Peipei;  Wang, Zhihao;  Zhang, Shan   |  收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01 ncFANs v2.0: an integrative platform for functional annotation of non-coding RNAs 期刊论文  OAI收割 NUCLEIC ACIDS RESEARCH, 2021, 卷号: 49, 期号: W1, 页码: W459-W468 作者:  Zhang, Yuwei;  Bu, Dechao;  Huo, Peipei;  Wang, Zhihao;  Rong, Hao   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/12/01 Transcriptome landscape of double negative T cells by single-cell RNA sequencing 期刊论文  OAI收割 JOURNAL OF AUTOIMMUNITY, 2021, 卷号: 121, 页码: 15 作者:  Yang, Lu;  Zhu, Yanbing;  Tian, Dan;  Wang, Song;  Guo, Jincheng   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/12/01 Double negative T cell  Single-cell RNA sequencing  Unconventional T cells  Inflammation  Regulatory T cells  Innate immunity   Estimating the Resource Demand in Power-Aware Clusters by Regressing a Linearly Dependent Relation 期刊论文  OAI收割 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 3, 页码: 385-397 作者:  Hu, Cheng;  Deng, Yuhui;  Yang, Laurence T.;  Zhao, Yufan   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/12/01 Estimation  Servers  Linear regression  Quality of service  Computational modeling  Analytical models  Task analysis  Resource demand estimation  linear regression  power-aware cluster  QoS  SLA   Practical Attacks on Deep Neural Networks by Memory Trojaning 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243 作者:  Hu, Xing;  Zhao, Yang;  Deng, Lei;  Liang, Ling;  Zuo, Pengfei   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/12/01 Trojan horses  Hardware  Integrated circuit modeling  Computational modeling  Security  Payloads  Convolutional neural networks (CNNs)  deep learning accelerator  deep learning attack  hardware Trojan