Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 515

Year

2024 4

2023 55

2022 63

2021 42

2020 62

2019 48

2018 40

2017 36

2016 18

2015 19

2014 15

2013 9

2012 8

2011 7

2010 17

2009 2

2008 9

2007 8

2006 7

2005 5

open ︾

Keywords

Artificial intelligence 37

artificial intelligence 36

big data 20

Machine learning 17

data mining 12

Big data 9

Deep learning 8

intelligence 8

machine learning 7

deep learning 5

Blockchain 4

Data mining 3

Industry 4.0 3

artificial intelligence (AI) 3

Additive manufacturing 2

Anomaly detection 2

Artificial general intelligence 2

Artificial intelligence (AI) 2

Artificial intelligence 2.0 2

open ︾

Search scope:

排序： Display mode:

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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 throughoutspace, and cyberspace, the information environment related to the current development of artificial intelligence

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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: convergence of several digital technologies, including those concerned with the promulgation of artificial intelligenceDecision 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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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 medicinemethods of feature subset optimizing, multi-label learning, and complex networks based on complexity, intelligence, data, and computing sciences.

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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