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Cross-media analysis and reasoning: advances and directions Review

Yu-xin PENG,Wen-wu ZHU,Yao ZHAO,Chang-sheng XU,Qing-ming HUANG,Han-qing LU,Qing-hua ZHENG,Tie-jun HUANG,Wen GAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 44-57 doi: 10.1631/FITEE.1601787

Abstract: Cross-media analysis and reasoning is an active research area in computer science, and a promising directionrepresentation; (2) cross-media correlation understanding and deep mining; (3) cross-media knowledgegraph construction and learning methodologies; (4) cross-media knowledge evolution and reasoning; (5) cross-media description and generation; (6) cross-media intelligent engines; and (7) cross-media intelligentBy presenting approaches, advances, and future directions in cross-media analysis and rea-soning, our

Keywords： Cross-media analysis Cross-media reasoning Cross-media applications

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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, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development. Furthermore, based on combined social demands and the information environment that exists in relation to Chinese development, suggestions on the development of AI 2.0 are given.

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

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Permeability analysis and seepage process study on crystal layer in melt crystallization with fractaland porous media theory

Xiaobin JIANG, Baohong HOU, Yongli WANG, Jingkang WANG

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 4, Pages 435-441 doi: 10.1007/s11705-011-1139-3

Abstract: In this paper a porous media seepage model was applied to analyze the permeability and study the seepage

Keywords： melt crystallization porous media fractal permeability hyperpure material simulation

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An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4, Pages 470-479 doi: 10.1007/s11709-017-0440-8

Abstract: In this study, the stochastic dynamic analysis of soil mass is performed by finite element method inTwo methods are used for stochastic analysis of soil media which are spectral decomposition and Monteis proposed and added to Monte Carlo method for sake of reducing computational effort of the random analysis

Keywords： stochastic analysis random seismic excitation finite element method artificial neural network frequencydomain analysis Monte Carlo simulation

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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Frontiers of Engineering Management 2017, Volume 4, Issue 2, Pages 201-211 doi: 10.15302/J-FEM-2017018

Abstract: This study explores the influence of social media on stock volatility and builds a feature model withan intelligence algorithm using social media data from Xueqiu.com in China, Sina Finance and EconomicsOur findings indicate that the influence of social media data on the next day’s volatility is more significant

Keywords： stock volatility social data sentiment analysis boosting algorithm

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Mechanics analysis of thin-walled box continuous girder with variable cross-sections in considering effect

Yuji CHEN, Qizhi LUO,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4, Pages 352-356 doi: 10.1007/s11709-009-0057-7

Abstract: In order to study the mechanics behavior of a thin-walled box continuous girder with variable cross-sectionsspline function, the large deflection problem of the thin-walled box continuous girder with variable cross-sectionThe thin-walled box continuous girder with variable cross-sections has more reasonable stress state andis more adaptable for the longitudinal change of internal forces than that with equal cross-sectionslarge deflection on the stress and displacement of the thin-walled box continuous girder with variable cross-sections

Keywords： thin-walled box girder with variable cross-sections potential variational theory shear lag large deflection

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Numerical analysis of aerodynamic noise radiated from cross flow fan

CHEN Anbang, LI Song, HUANG Dongtao

Frontiers in Energy 2008, Volume 2, Issue 4, Pages 443-447 doi: 10.1007/s11708-008-0063-9

Abstract: The flow field in a cross flow fan was simulated by solving the 2-D unsteady Reynolds-averaged Navier-Stokes

Keywords： predicted aerodynamic Williams-Hawkings calculated pressure aerodynamic performance unsteady Reynolds-averaged

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Cross-sectional network analysis of plasma proteins/metabolites correlated with pathogenesis and therapeutic

Frontiers of Medicine doi: 10.1007/s11684-023-1022-x

Abstract: Here, we reported a cross-sectional correlation network to interpret multilayered datasets on clinical

Keywords： acute promyelocytic leukemia plasma proteomics plasma metabolomics cross-sectional correlation network

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Transport of antibiotic resistance plasmids in porous media and the influence of surfactants

Peipei Chen, Chaoqi Chen, Xiqing Li

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 2, doi: 10.1007/s11783-017-0986-7

Abstract: Transport of engineered antibiotic resistance plasmids in porous media has been reported to potentiallyIn this work, transport of an indigenous resistance plasmid pK5 in porous media was investigated through

Keywords： Indigenous plasmid Transport Porous media Surfactants

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Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 114-120 doi: 10.1007/s11709-014-0267-5

Abstract: The accurate and efficient simulation of random heterogeneous media is important in the framework ofThis paper provides a critical examination of existing random field models of heterogeneous two-phase media

Keywords： microstructure random fields level sets shape recovery two-phase media

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Probabilistic analysis of secant piles with random geometric imperfections

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 682-695 doi: 10.1007/s11709-021-0703-2

Abstract: An ultrasonic cross-hole test was performed during the construction of secant piles in a launching shaft

Keywords： secant piles ultrasonic cross-hole testing probabilistic analysis reliability-based design random

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Maximum entropy based finite element analysis of porous media

Emad NOROUZI, Hesam MOSLEMZADEH, Soheil MOHAMMADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2, Pages 364-379 doi: 10.1007/s11709-018-0470-x

Abstract: adopted to spatially discretize the deformation variable of the governing coupled equations of porous mediaSome of the benchmark problems in deformable porous media are solved with the developed approach and

Keywords： maximum entropy FEM fully coupled multi-phase system porous media

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Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract: itemcontent>

The potential application of Weibo check-in data for urban analysis

Keywords： Social media Human mobility Population bias Sample reconstruction Data integration

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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. We conclude that integrating data-driven machine learning with human knowledge (common priors or implicit intuitions) can effectively lead to explainable, robust, and general AI, as follows: from shallow computation to deep neural reasoning; from merely data-driven 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 capability to learn from experience). Motivated by such endeavors, the next generation of AI, namely AI 2.0, is positioned to reinvent computing itself, to transform big data into structured knowledge, and to enable better decision-making for our society.

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

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Immunogenicity and protective immunity against otitis media caused by pneumococcus in mice of Hib conjugate

Zeyu Chen,Rong Guo,Jianghong Xu,Chuangjun Qiu

Frontiers of Medicine 2016, Volume 10, Issue 4, Pages 490-498 doi: 10.1007/s11684-016-0470-y

Abstract: and the inflammation of the middle ear showed the effectiveness of protective immunity against otitis mediaanti-PsaA and anti-Hib immune responses in young mice and elicit effective protection against acute otitis media

Keywords： conjugate vaccine pneumococcal surface adhesin A Hemophilus influenzae b immunogenicity otitis media