Resource Type

Journal Article 325

Conference Videos 31

Year

2023 29

2022 55

2021 42

2020 32

2019 30

2018 19

2017 26

2016 16

2015 17

2014 12

2013 8

2012 7

2011 6

2010 10

2009 1

2008 9

2007 7

2006 6

2005 2

2004 6

open ︾

Keywords

big data 20

data mining 12

Big data 9

Machine learning 7

Blockchain 5

Artificial intelligence 4

Industry 4.0 3

Additive manufacturing 2

Anomaly detection 2

Big Data 2

Big data analytics 2

China 2

Concept drift 2

Data mining 2

Data privacy 2

Data stream 2

Data-driven 2

Data-driven method 2

Deep learning 2

open ︾

Search scope:

排序： Display mode:

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: One recent area of interest in computer science is data stream management and processing.By ‘data stream’, we refer to continuous and rapidly generated packages of data.Specific features of data streams are immense volume, high production rate, limited data processing time, and data concept drift; these features differentiate the data stream from standard types of data.An issue for the data stream is classification of input data.

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

HTML PDF Collect
Share

Online machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 12, doi: 10.1007/s11783-023-1752-7

Abstract:

● Online learning models accurately predict influent flow rate at wastewater plants.

Keywords： Wastewater prediction     Data stream     Online learning     Batch learning     Influent flow rates    

HTML PDF Collect
Share

Effects of riparian land use on water quality and fish communities in the headwater stream of the Taizi

Sen DING, Yuan ZHANG, Bin LIU, Weijing KONG, Wei MENG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 699-708 doi: 10.1007/s11783-013-0528-x

Abstract: Riparian land use remains one of the most significant impacts on stream ecosystems.This study focuses on the relationship between stream ecosystems and riparian land use in headwater regionsincluding forest, grassland, farmland, and residential land were examined to reveal the correlation between streamGenerally, the results found a significant relationship between riparian land uses and stream water quality

Keywords： fish     water quality     land use     riparian buffer     headwater stream    

HTML PDF Collect
Share

Residence time distribution and modeling of the liquid phase in an impinging stream reactor

Xingjun WANG, Xianhui HU, Lishun HU, Guangsuo YU, Fuchen WANG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 353-359 doi: 10.1007/s11705-009-0262-x

Abstract: some experimental investigations of liquid phase residence time distribution (RTD) in an impinging streamwhich indicates that the liquid RTD is dominated mainly by axial liquid dispersion in the impinging stream

Keywords： RTD     liquid dispersion     reactor     liquid     independent    

HTML PDF Collect
Share

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over datastream Regular Papers

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 388-404 doi: 10.1631/FITEE.1800038

Abstract: Sequence data in these fields are usually multi-dimensional over the data stream.for sequence modeling; (2) Anomaly detection cannot adapt to the high-speed nature of the data streamstream.To improve the performance of anomaly detection for a multi-dimensional sequence over the data streamSecond, to speed up model construction and ensure the detection rate for the sequence over the data stream

Keywords： Data stream     Multi-dimensional sequence     Anomaly detection     Concept drift     Feature selection    

HTML PDF Collect
Share

Chaotic behavior of LNG after stratification in main stream region of storage tank

WANG Jingjing, MA Xiaoqian

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 514-518 doi: 10.1007/s11708-008-0076-4

Abstract: A study of the chaotic behavior of liquefied natural gas (LNG) after stratification in the main streamof heat impacting the storage tank would lead to a strong and unstable convection of LNG in the main stream

Keywords： Runge-Kutta     non-linear     corresponding     temperature     addition    

HTML PDF Collect
Share

The Contributions Evaluation of Truck Ro-Ro Shipments in the Upper-stream Yangtze River and Its Developing

Xu Maozeng,Wu Min

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 31-34

Abstract: justify;">An introduction will be made to the transportation env ironment characteristics of the upper-streamThen five indicators are proposed to evaluate the contributions of Ro-Ro shipments in the upper-streamResults based on the data in 2005 show that Ro-Ro shipment is a better alternative for truck transport

Keywords： upper-stream Yangtze River     Ro-Ro shipment     evaluation indicator     model developing policy    

HTML PDF Collect
Share

Recognition of Fluvial Bank Erosion Along the Main Stream of the Yangtze River Article

Ge Yan, Heqin Cheng, Zeyu Jiang, Lizhi Teng, Ming Tang, Tian Shi, Yuehua Jiang, Guoqiang Yang, Quanping Zhou

Engineering 2022, Volume 19, Issue 12,   Pages 50-61 doi: 10.1016/j.eng.2021.03.027

Abstract: algorithm to extract river bank erosion information by adjusting the flatness from multibeam echo-sounding dataenhances the targeting of subaqueous signs and risks of bank failure with a range of multibeam bathymetric data

Keywords： Multibeam echo-sounding data     Morphological elements     Bank erosion     Bank scarp     Scour pits     Bank collapse    

HTML PDF Collect
Share

Engineered Biomimetic Platelet Membrane-Coated Nanoparticles Block Staphylococcus aureus Cytotoxicity and Protect Against Lethal Systemic Infection Article

Jwa-Kyung Kim, Satoshi Uchiyama, Hua Gong, Alexandra Stream, Liangfang Zhang, Victor Nizet

Engineering 2021, Volume 7, Issue 8,   Pages 1149-1156 doi: 10.1016/j.eng.2020.09.013

Abstract:

Staphylococcus (S.) aureus is a leading human pathogen capable of producing severe invasive infections such as bacteremia, sepsis, and endocarditis with high morbidity and mortality, exacerbated by the increasingly widespread antibiotic resistance exemplified by methicillin-resistant strains (MRSA). S. aureus pathogenesis is fueled by the secretion of toxins—such as the membrane-damaging pore-forming atoxin,
which have diverse cellular targets including the epithelium, endothelium, leukocytes, and platelets. Here, we examine the use of human platelet membrane-coated nanoparticles (PNPs) as a biomimetic decoy strategy to neutralize S. aureus toxins and preserve host cell defense functions. The PNPs blocked platelet damage induced by S. aureus secreted toxins, thereby supporting platelet activation and bactericidal
activity. Likewise, the PNPs blocked macrophage damage induced by S. aureus secreted toxins, thus supporting macrophage oxidative burst, nitric oxide production, and bactericidal activity, and diminishing MRSA-induced neutrophil extracellular trap release. In a mouse model of MRSA systemic infection, PNP administration reduced bacterial counts in the blood and protected against mortality. Taken together, the results from the present work provide a proof of principle of the therapeutic benefit of PNPs in toxin neutralization, cytoprotection, and increased host resistance to invasive S. aureus infection.

Keywords： Nanoparticle     Nanosponge     Platelet     Staphylococcus aureus     Bacterial toxins     Sepsis    

HTML PDF Collect
Share

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data     evaluation methods     systematic improvement     big data analytic techniques     data mining    

HTML PDF Collect
Share

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

HTML PDF Collect
Share

Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: as the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.and non-structured data into “structured format” and explores the relationship of data heterogeneity

Keywords： big data     data science     intelligent knowledge     engineering management     real-life applications    

HTML PDF Collect
Share

PAC in artificial stream in postoperative care for family planning

Zhong Huiling

Strategic Study of CAE 2014, Volume 16, Issue 5,   Pages 31-33

Abstract:

The purpose of the study abortion care (PAC) in the artificial stream

Keywords： abortion     post-abortion care     family planning care     effectiveness analysis    

HTML PDF Collect
Share

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: Data enabling technology plays an important role in modern scientific discovery and technologic advancementFactual data enables managers to measure, to understand their businesses, and to directly translate thatareas: 1) by making relevant historical data available to the manager at the time when it’s needed;2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful dataacquisition and data analytics.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

HTML PDF Collect
Share

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intouse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

HTML PDF Collect
Share

Title Author Date Type Operation

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

Online machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies

Journal Article

Effects of riparian land use on water quality and fish communities in the headwater stream of the Taizi

Sen DING, Yuan ZHANG, Bin LIU, Weijing KONG, Wei MENG

Journal Article

Residence time distribution and modeling of the liquid phase in an impinging stream reactor

Xingjun WANG, Xianhui HU, Lishun HU, Guangsuo YU, Fuchen WANG,

Journal Article

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over datastream

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Journal Article

Chaotic behavior of LNG after stratification in main stream region of storage tank

WANG Jingjing, MA Xiaoqian

Journal Article

The Contributions Evaluation of Truck Ro-Ro Shipments in the Upper-stream Yangtze River and Its Developing

Xu Maozeng,Wu Min

Journal Article

Recognition of Fluvial Bank Erosion Along the Main Stream of the Yangtze River

Ge Yan, Heqin Cheng, Zeyu Jiang, Lizhi Teng, Ming Tang, Tian Shi, Yuehua Jiang, Guoqiang Yang, Quanping Zhou

Journal Article

Engineered Biomimetic Platelet Membrane-Coated Nanoparticles Block Staphylococcus aureus Cytotoxicity and Protect Against Lethal Systemic Infection

Jwa-Kyung Kim, Satoshi Uchiyama, Hua Gong, Alexandra Stream, Liangfang Zhang, Victor Nizet

Journal Article

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

PAC in artificial stream in postoperative care for family planning

Zhong Huiling

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article