Resource Type

Journal Article 183

Conference Videos 10

Year

2023 11

2022 16

2021 16

2020 18

2019 13

2018 8

2017 11

2016 7

2015 16

2014 10

2013 6

2012 6

2011 7

2010 9

2009 4

2008 6

2007 11

2006 4

2005 1

2003 3

open ︾

Keywords

Support vector machine 4

Support vector machine (SVM) 4

decision support system 4

Artificial neural network 2

Ceria 2

Machine learning 2

Support vector regression 2

decision support 2

development 2

development trend 2

different 2

important 2

machine learning 2

natural gas 2

support vector machine 2

1 1

2 1

2-benzothiazolyl thioester 1

2-dichloroethane 1

open ︾

Search scope:

排序： Display mode:

Air pollution and its control in China

HAO Jiming, HE Kebin, DUAN Lei, LI Junhua, WANG Litao

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 2,   Pages 129-142 doi: 10.1007/s11783-007-0024-2

Abstract: reducing the major pollutants produced by coal and vehicles, and investigates air quality modeling as an importantsupport for policy-making.

Keywords： control     development     country     regional     important support    

HTML PDF Collect

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 290-299 doi: 10.1007/s11705-009-0283-5

Abstract: Drug safety management is an important issue in China drug management system and attracts great attentionsIn order to reduce drug incident, this study discusses some important elements associated with ChinaBesides, a methodology for rating the important elements is described and applied.The results indicate that the sample systems are the most important in these important elements, andThis study not only points out the important ranking of the pivotal elements in China drug safety management

Keywords： management system     different     management     important ranking     non-structural fuzzy    

HTML PDF Collect

Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: The purpose of this research was to develop statistical and intelligent models for predicting the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs. For more accurate prediction, Multi-Layer Perceptron (MLP) and Radius Basis Function (RBF) neural networks were applied. Results indicated that in MLR, the model obtained from the backward method with the correct percent of 84.7% and R2 value of 0.893 was the best method for predicting the likelihood of RTAs. Also, MLR showed that the variables of not paying attention to the front not paying attention to the frontroad ahead, followed byand then vehicle-motorcycle/bike accidents were the greatest problems. Among the models, MLP had a better performance, so that the prediction accuracy of MLR, MLP, and RBF were 84.7%, 96.7%, and 92.1%, respectively. MLP model, due to higher accuracy, showed that the variable of reason of accident had the highest effect on the prediction of accidents, and considering MLR results, the variables of not paying attention to the front and then vehicle-motorcycle/bike accidents had the most influence on the occurrence of accidents. Therefore, motorcyclists and cyclists are more prone to accidents, and appropriate solutions should be adopted to enhance their safety.

Keywords： safety     rural accidents     multiple logistic regression     artificial neural networks    

HTML PDF Collect

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 289-294 doi: 10.15302/J-FASE-2017155

Abstract: studies and genome wide analyses to identify the genomic regions targeted by positive selection for four important

Keywords： horse     coat color     racing performance     gait     height    

HTML PDF Collect

Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 279-288 doi: 10.15302/J-FASE-2017151

Abstract: Sheep are one of the most economically important domesticated animals for human society.Additionally, comprehensive information on functional genes and genetic variants associated with economically important

Keywords： sheep     high-throughput screening     productive traits     genome-wide studies    

HTML PDF Collect

Integrated logistics support system design for ships

Zhu Hong and Zhang Ping

Strategic Study of CAE 2015, Volume 17, Issue 5,   Pages 44-50

Abstract:

Based on the analysis of integrated logistics support system abroad， this paper presents a top designfor integrate logistics support system on domestic ships.system composition， main function and main technical indexes， and divides the integrated logistics supportsystem into three subsystems， which are support resource system， ship integrated logistics support managementIt can be referred for the integration and management for ship integrated logistics support system.

Keywords： ship     integrated logistics support system     system design     support resource    

HTML PDF Collect

Five important issues in the present field of knowledge discovery

Yang Bingru

Strategic Study of CAE 2009, Volume 11, Issue 4,   Pages 76-83

Abstract:

In this paper, the author summarized and proposed five important issuesin the present field of knowledge discovery and data mining, which comprise two important core issues, two conjectures, challenge issues in mainstream development, important issues of relevant fields in

Keywords： important core issues in KD     conjectures in KD     challenge issues in KD     protein secondary structure prediction    

HTML PDF Collect

Socialized care services for the aged population: System construction and support measures

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 339-353 doi: 10.1007/s42524-022-0208-2

Abstract: increase in social demand, information- and communication technology-driven culture, and government policy supportimplementation path for such elderly care service policies is unclear, the necessary technological supportservice policies in China, and proposes a research paradigm that integrates system construction and supportFinally, we build the research framework of systematic support measures from the perspectives of policyreconstruction, institutional embeddedness, and technical support.

Keywords： socialized     care service for the elderly     system construction     support measure    

HTML PDF Collect

BMP decision support system for evaluating stormwater management alternatives

Mow-Soung CHENG, Jenny X. ZHEN, Leslie SHOEMAKER,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 4,   Pages 453-463 doi: 10.1007/s11783-009-0153-x

Abstract: Maryland, in the Washington D.C. metropolitan area has developed a best management practice decision supportsystem (BMPDSS) to support analysis and decision making for stormwater management planning and design

Keywords： best management practices     decision support system     low impact development     geographic information system    

HTML PDF Collect

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe effect of capacity factor ( ) on number of support vector and model accuracy has also been investigated

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

HTML PDF Collect

Clinical factors associated with composition of lung microbiota and important taxa predicting clinical

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 389-402 doi: 10.1007/s11684-021-0856-3

Abstract: Few studies have described the key features and prognostic roles of lung microbiota in patients with severe community-acquired pneumonia (SCAP). We prospectively enrolled consecutive SCAP patients admitted to ICU. Bronchoscopy was performed at bedside within 48 h of ICU admission, and 16S rRNA gene sequencing was applied to the collected bronchoalveolar lavage fluid. The primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal scale within 14 days following bronchoscopy. Sixty-seven patients were included. Multivariable permutational multivariate analysis of variance found that positive bacteria lab test results had the strongest independent association with lung microbiota (R2=0.033; P=0.018), followed by acute kidney injury (AKI; R2=0.032; P=0.011) and plasma MIP-1β level (R2=0.027; P=0.044). Random forest identified that the families Prevotellaceae, Moraxellaceae, and Staphylococcaceae were the biomarkers related to the positive bacteria lab test results. Multivariable Cox regression showed that the increase in α-diversity and the abundance of the families Prevotellaceae and Actinomycetaceae were associated with clinical improvements. The positive bacteria lab test results, AKI, and plasma MIP-1β level were associated with patients’ lung microbiota composition on ICU admission. The families Prevotellaceae and Actinomycetaceae on admission predicted clinical improvements.

Keywords： severe community-acquired pneumonia     lung microbiota     clinical improvements     7-category ordinal scale     Prevotellaceae    

HTML PDF Collect

Sclerosing cholangitis in critically ill patients: an important and easily ignored problem based on a

Ting Lin, Kai Qu, Xinsen Xu, Min Tian, Jie Gao, Chun Zhang, Ying Di, Yuelang Zhang, Chang Liu

Frontiers of Medicine 2014, Volume 8, Issue 1,   Pages 118-126 doi: 10.1007/s11684-014-0306-6

Abstract:

Intensive care unit (ICU) is important in the rehabilitation of critically ill patients.

Keywords： intensive care unit     sclerosing cholangitis     ischemic injury     prognosis     systemic review    

HTML PDF Collect

Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 369-381 doi: 10.1007/s11684-020-0784-7

Abstract: This scoping review investigated AI-based decision support systems targeted at the intraoperative phaseWhile many of the proposals hold promise for improving patient outcomes, important methodological shortcomingsnumber of opportunities exist for future researchers and clinicians to work on AI for surgical decision support

Keywords： artificial intelligence     decision support     clinical decision support systems     intraoperative     deep learning    

HTML PDF Collect

Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Frontiers of Structural and Civil Engineering   Pages 1086-1099 doi: 10.1007/s11709-023-0976-8

Abstract: Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Keywords： RBF     surrogate model     turbine support structures    

HTML PDF Collect

Title Author Date Type Operation

Air pollution and its control in China

HAO Jiming, HE Kebin, DUAN Lei, LI Junhua, WANG Litao

Journal Article

Huo Jiarui: Important Support for Knowledge Data Service Smart Agriculture (2020-11-5)

14 Oct 2022

Conference Videos

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Journal Article

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Journal Article

Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Journal Article

Integrated logistics support system design for ships

Zhu Hong and Zhang Ping

Journal Article

Five important issues in the present field of knowledge discovery

Yang Bingru

Journal Article

Socialized care services for the aged population: System construction and support measures

Journal Article

BMP decision support system for evaluating stormwater management alternatives

Mow-Soung CHENG, Jenny X. ZHEN, Leslie SHOEMAKER,

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

Clinical factors associated with composition of lung microbiota and important taxa predicting clinical

Journal Article

Sclerosing cholangitis in critically ill patients: an important and easily ignored problem based on a

Ting Lin, Kai Qu, Xinsen Xu, Min Tian, Jie Gao, Chun Zhang, Ying Di, Yuelang Zhang, Chang Liu

Journal Article

Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Journal Article

Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Journal Article