中国科学院机构知识库网格系统: 检索

Review: Predictive approaches to breast cancer risk 期刊论文 OAI收割
HELIYON, 2023, 卷号: 9, 期号: 11, 页码: 9
作者: Huang, Shuai; Xu, Jun Tao; Yang, Mei

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收藏 | 浏览/下载：11/0 | 提交时间：2024/05/20

Breast cancer Risk factors BRCA1/2 Polygenic risk scores Artificial intelligence

Analysis of long term water quality variations driven by multiple factors in a typical basin of Beijing-Tianjin-Hebei region combined with neural networks 期刊论文 OAI收割
JOURNAL OF CLEANER PRODUCTION, 2023, 卷号: 382, 页码: 135367
作者: Feng, Zhaohui; Zhang, Zhongwei; Zuo, Yiping; Wan, Xiaoming; Wang, Lingqing

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收藏 | 浏览/下载：24/0 | 提交时间：2023/07/14

Back propagation artificial neural network Driving factors Self-organizing map Water quality

Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility 期刊论文 OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者: Zhao, Chen; Dai, Xingyuan; Lv, Yisheng; Niu, Jinglong; Lin, Yilun

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收藏 | 浏览/下载：43/0 | 提交时间：2023/02/22

Transportation Behavioral sciences Organizations Cyberspace Social factors Roads Vehicle dynamics Artificial systems computational experiments parallel execution (ACP) blockchain cyber-physical-social systems (CPSS) decentralized distributed autonomous operations and organizations (DAOs) intelligent transportation systems (ITS)

RIPK3 Mediates Necroptosis during Embryonic Development and Postnatal Inflammation in Fadd-Deficient Mice 期刊论文 OAI收割
CELL REPORTS, 2017, 卷号: 19, 期号: 4, 页码: 798-808
作者: Zhao, Qun; Yu, XianJun; Zhang, HaiWei; Liu, YongBo; Zhang, XiXi

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收藏 | 浏览/下载：31/0 | 提交时间：2020/12/09

Genetics Issue 122 artificial RNA binding factors protein engineering splicing factors alternative splicing PUF scaffold RNA binding proteins cancer

IL-17 induced NOTCH1 activation in oligodendrocyte progenitor cells enhances proliferation and inflammatory gene expression 期刊论文 OAI收割
NATURE COMMUNICATIONS, 2017, 卷号: 8, 期号: -, 页码: 15508
作者: Wang, Chenhui; Zhang, Cun-Jin; Martin, Bradley N.; Bulek, Katarzyna; Kang, Zizhen

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收藏 | 浏览/下载：32/0 | 提交时间：2020/12/09

Genetics Issue 122 artificial RNA binding factors protein engineering splicing factors alternative splicing PUF scaffold RNA binding proteins cancer

Density Prediction of Mixtures of Ionic Liquids and Molecular Solvents Using Two New Generalized Models 期刊论文 OAI收割
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 卷号: 53, 期号: 39, 页码: 15270-15277
作者: Huang, Ying; Zhao, Yongsheng; Zeng, Shaojuan; Zhang, Xiangping; Zhang, Suojiang

收藏 | 浏览/下载：48/0 | 提交时间：2014/12/01

ARTIFICIAL NEURAL-NETWORK BINARY-MIXTURES THERMODYNAMIC PROPERTIES ACENTRIC FACTORS COSMO-RS SYSTEMS VISCOSITY CONDUCTIVITY TEMPERATURE EQUILIBRIA

Artificial neural network models for estimating regional reference evapotranspiration based on climate factors SCI/SSCI论文 OAI收割
2009
Dai X. Q.; Shi H. B.; Li Y. S.; Ouyang Z.; Huo Z. L.

收藏 | 浏览/下载：12/0 | 提交时间：2012/06/08

artificial neural network climate factors Penman-Monteith reference evapotranspiration penman-monteith computing technique algorithm scale

Ecological risk assessment of regions along the roadside of the Qinghai-Tibet highway and railway based on an artificial neural network SCI/SSCI论文 OAI收割
2007
Chen H.; Jinsong L. S.; Cao Y.; Shuangcheng L. C.; Ouyang H.

收藏 | 浏览/下载：33/0 | 提交时间：2012/06/08

ecological risk assessment artificial neural network MLP (multilayer perceptron) model natural factors artificial factors alpine gradients root biomass cherry-point stressor massachusetts plateau design area

Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.; Ma D.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.

Modeling change-pattern-value dynamics on land use: An integrated GIS and artificial neural networks approach 期刊论文 OAI收割
ENVIRONMENTAL MANAGEMENT, 2005, 卷号: 36, 期号: 4, 页码: 576-591
作者: Wu, SH(吴绍洪)

收藏 | 浏览/下载：27/0 | 提交时间：2011/06/10

change in land use Change-Pattern-Value (CPV) analysis driving factors for land-use change remote sensing GIS Artificial Neural Networks Pearl River Delta Region