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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 advancementThis position paper argues that data analytics is ready to change engineering management in the followingareas: 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    

Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectivesin the Big Data Era Perspective

Chao Shang、 Fengqi You

Engineering 2019, Volume 5, Issue 6,   Pages 1010-1016 doi: 10.1016/j.eng.2019.01.019

Abstract: The burgeoning era of big data is influencing the process industries tremendously, providing unprecedentedTo attain this goal, data analytics and machine learning are indispensable.In this paper, we review recent advances in data analytics and machine learning applied to the monitoring

Keywords: Big data     Machine learning     Smart manufacturing     Process systems engineering    

Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Frontiers of Engineering Management 2021, Volume 8, Issue 2,   Pages 157-171 doi: 10.1007/s42524-020-0126-0

Abstract: First, this study describes a general methodology for the fusion of data analytics and optimization.Then, it identifies some data analytics and system optimization technologies to handle key issues inThe framework uses data analytics to perceive and analyze industrial production and logistics processesData analytics and system optimization technologies are employed in the four-level framework to overcomeThe fusion of data analytics and optimization allows enterprises to enhance the prediction and control

Keywords: data analytics     system optimization     smart industry    

The Industrial Internet Platform: Trend and Challenges

Wang Chen,Song Liang and Li Shaokun

Strategic Study of Chinese Academy of Engineering 2018, Volume 20, Issue 2,   Pages 15-19 doi: 10.15302/J-SSCAE-2018.02.003

Abstract: elaborated and the challenges in building the client-ecosphere, developer-ecosphere, as well as the data-ecosphereFurthermore, the technical challenges of IIP in modeling and analyzing industry big data system and industrydata are discussed in depth.

Keywords: industry Internet platform     industrial big data     data analytics    

Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 517-519 doi: 10.1007/s42524-022-0234-0

Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng WU

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 169-171 doi: 10.1007/s42524-020-0114-4

CORRECTION to: Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng Wu

Frontiers of Engineering Management   Pages 697-697 doi: 10.1007/s42524-020-0139-8

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 subjectdata environment.We 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    

Slope stability analysis based on big data and convolutional neural network

Frontiers of Structural and Civil Engineering   Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: A CNN model can process data quickly and complete a large amount of data analysis in a specific situationIt is difficult to get enough slope data samples in practical engineering.In particular, the combination of typical actual slopes and generated slope data provides enough training

Keywords: slope stability     limit equilibrium method     convolutional neural network     database for slopes     big data    

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 321-327 doi: 10.1007/s11684-014-0370-y

Abstract:

With the advent of big data era, our thinking, technology and methodology are being transformed.Data-intensive scientific discovery based on big data, named “The Fourth Paradigm,” has becomeof diagnosis and treatment, and genomic data have been accumulated dramatically, which generates bigTo conduct clinical studies involved in big data in TCM domain, top level design is needed and shouldcreation, data analysis technology and big-data professionals fostering and training.

Keywords: big data     traditional Chinese medicine     clinical evaluation     evidence based medicine    

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: This paper presents a review of the challenges to engineering management in the Big Data Era as wellas 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.

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

Appreciating the role of big data in the modernization of environmental governance

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 163-169 doi: 10.1007/s42524-021-0185-x

Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 310-315 doi: 10.1007/s11684-014-0358-7

Abstract:

The advent of the big data era creates both opportunities and challenges for traditional Chinese medicinefeature subset optimizing, multi-label learning, and complex networks based on complexity, intelligence, data

Keywords: big data     real world     clinical research     Chinese medicine     medical computing    

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigdata technology to find the relevance of different factors in the life cycle of a disease and to provideThis paper explores the concept of constructing a big medical data platform and introduces the clinicalMedical data can be collected and consolidated by distributed computing technology.Big data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords: big data     correlation analysis     medical information     integration     data analysis     clinical model    

A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in

Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun,

Engineering doi: 10.1016/j.eng.2022.06.019

Abstract: Many researchers have developed data-driven soft sensors using cutting-edge machine learning (ML) orfuture, this method can also be applied to other industrial processes to help develop more advanced data-driven

Keywords: Big data analytics     Machine intelligence     Quality prediction     Soft sensors     Intelligent manufacturing    

Title Author Date Type Operation

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectivesin the Big Data Era

Chao Shang、 Fengqi You

Journal Article

Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Journal Article

The Industrial Internet Platform: Trend and Challenges

Wang Chen,Song Liang and Li Shaokun

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng WU

Journal Article

CORRECTION to: Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng Wu

Journal Article

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

Feng YANG, Manman WANG

Journal Article

Slope stability analysis based on big data and convolutional neural network

Journal Article

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Appreciating the role of big data in the modernization of environmental governance

Journal Article

Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Journal Article

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Journal Article

A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in

Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun,

Journal Article