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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

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: processing, storage and analysis, advanced process control, artificial intelligence and machine learningessential element to this transformation is the exploitation of large amounts of historical process dataand large volumes of data generated in real-time by smart sensors widely used in industry.Exploitation of the information contained in these data requires the use of advanced machine learningand artificial intelligence technologies integrated with more traditional modelling techniques.

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract:

With the popularization of the Internet, permeation of sensor networks, emergence of big data, increasein size of the information community, and interlinking and fusion of data and information throughout, physical space, and cyberspace, the information environment related to the current development of artificialintelligence (AI) has profoundly changed.

Keywords： Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

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Convergence to real-time decision making

James M. TIEN

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 204-222 doi: 10.1007/s42524-019-0040-5

Abstract: intelligence and other advanced technologies that underpin real-time actions.Decision making includes model-based analytics (since before 1990), information-based Big Data (since1990), and training-based artificial intelligence (since 2000), and it is bolstered by the evolvingreal-time technologies of sensing (i.e., capturing streaming data), processing (i.e., applying real-timeReal-time includes mobile networks, autonomous vehicles, and artificial general intelligence.

Keywords： real-time decision making     services     goods     ServGoods     Big Data     Internet of Things     artificial intelligence    

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Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied Article

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Engineering 2020, Volume 6, Issue 7,   Pages 835-846 doi: 10.1016/j.eng.2019.11.014

Abstract:

The implementation of artificial intelligence (AI) in a smart society, in which the analysis of humanhabits is mandatory, requires automated data scheduling and analysis using smart applications, a smartand operative processes, a dedicated method is required to manage and extract the massive amount of data

Keywords： Smart maintenance     Smart society     Artificial intelligence     Human-centered management system     Big data    

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Challenges and opportunities: from big data to knowledge inAI 2.0 Review

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 3-14 doi: 10.1631/FITEE.1601883

Abstract: In this paper, we review recent emerging theoretical and technological advances of artificial intelligence(AI) in the big data settings.model to data-driven with structured logic rules models; from task-oriented (domain-specific) intelligence(adherence to explicit instructions) to artificial general intelligence in a general context (the capabilitythe next generation of AI, namely AI 2.0, is positioned to reinvent computing itself, to transform big

Keywords： Deep reasoning     Knowledge base population     Artificial general intelligence     Big data     Cross media    

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Strategies and Principles of Distributed Machine Learning on Big Data Review

Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei

Engineering 2016, Volume 2, Issue 2,   Pages 179-195 doi: 10.1016/J.ENG.2016.02.008

Abstract:

The rise of big data has led to new demands for machine learning (ML) systems to learn complex modelsTaking the view that “big” ML systems can benefit greatly from ML-rooted statistical andstrategies span a continuum from application, to engineering, and to theoretical research and development of big

Keywords： Machine learning     Artificial intelligence big data     Big model     Distributed systems     Principles     Theory     Data-parallelism    

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Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 127-136 doi: 10.15302/J-SSCAE-2022.06.011

Abstract: Hence, establishing a national clinical big data management system for oncology based on artificialintelligence could potentially promote the application of clinical data in oncology, further improvingmechanisms and pathways of applying artificial  intelligence to the management and research of, data standardization and structuring, data analysis and application, and data quality control.Finally, we proposed some suggestions on the research directions of the clinical big data management&

Keywords： clinical big data     management system     oncology     artificial intelligence     common data model     natural language    

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Urban Big Data and the Development of City Intelligence Review

Yunhe Pan, Yun Tian, Xiaolong Liu, Dedao Gu, Gang Hua

Engineering 2016, Volume 2, Issue 2,   Pages 171-178 doi: 10.1016/J.ENG.2016.02.003

Abstract:

This study provides a definition for urban big data while exploring its features and applicationsFurthermore, this paper examines the role of urban big data in city intelligence by showing that it notThis study also points out the challenges of shaping and developing of China’s urban big data.Considering the supporting and core role that urban big data plays in city intelligence, the study thenthrough the proper application of urban big data.

Keywords： Urban big data     City intelligence     Ternary space     Construction emphases    

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Multiple knowledge representation for big data artificial intelligence: framework, applications, and Perspective

Yi Yang, Yueting Zhuang, Yunhe Pan,yangyics@zju.edu.cn,yzhuang@zju.edu.cn,panyh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2100463

Abstract: present a multiple knowledge representation (MKR) framework and discuss its potential for developing bigdata artificial intelligence (AI) techniques with possible broader impacts across different AI areas

Keywords： 多重知识表达；人工智能；大数据    

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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    

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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    

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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    

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Intelligent Manufacturing Technologies, Industries, and Application under the Guidance of a New-Generation of ArtificialIntelligence Technology

Li Bohu, Chai Xudong, Zhang Lin, Hou Baocun, Liu Yang

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 73-78 doi: 10.15302/J-SSCAE-2018.04.012

Abstract: style="text-align: justify;">This paper first briefly explains the booming era of "New Internet + BigData + Artificial Intelligence +", then discussed that an intelligent manufacturing system guidedby a new-generation of artificial intelligence technology is a new intelligent interconnected manufacturingintelligence technology, and introduces the preliminary study on its prototype—big data intelligenceintelligence technology are put forward.

Keywords： new-generation intelligent manufacturing     new-intelligent interconnected manufacturing system     big dataintelligence    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Title Author Date Type Operation

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Convergence to real-time decision making

James M. TIEN

Journal Article

Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Journal Article

Challenges and opportunities: from big data to knowledge inAI 2.0

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Journal Article

Strategies and Principles of Distributed Machine Learning on Big Data

Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei

Journal Article

Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Journal Article

Urban Big Data and the Development of City Intelligence

Yunhe Pan, Yun Tian, Xiaolong Liu, Dedao Gu, Gang Hua

Journal Article

Multiple knowledge representation for big data artificial intelligence: framework, applications, and

Yi Yang, Yueting Zhuang, Yunhe Pan,yangyics@zju.edu.cn,yzhuang@zju.edu.cn,panyh@zju.edu.cn

Journal Article

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

Feng YANG, Manman WANG

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Journal Article

Intelligent Manufacturing Technologies, Industries, and Application under the Guidance of a New-Generation of ArtificialIntelligence Technology

Li Bohu, Chai Xudong, Zhang Lin, Hou Baocun, Liu Yang

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article