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Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting Artical

Longbing Cao

Engineering 2016, Volume 2, Issue 2,   Pages 212-224 doi: 10.1016/J.ENG.2016.02.013

Abstract: made to model specific aspects of users or items, the overall user and item characteristics and their non-IIDnessIn this paper, the non-IID nature and characteristics of recommendation are discussed, followed by thenon-IID theoretical framework in order to build a deep and comprehensive understanding of the intrinsicThis non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation research

Keywords： Independent and identically distributed (IID)     Non-IID     Heterogeneity     Coupling relationship     Coupling learning     Relational learning     IIDness learning     Non-IIDness learning     Recommender system     Recommendation     Non-IID    

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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: In the past, both the direct learning approach and the personnel extension system for improving fertilizationTherefore, this article proposes an interactive knowledge learning approach using artificial intelligenceThe interactive knowledge learning approach aims to identify and rectify incorrect practices in the knowledge-basedInvestigations show that the interactive knowledge learning approach can make a strong contribution toprevention of the overuse of nitrogen and phosphorus fertilizers, and mitigating agricultural non-point

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

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Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: In a supervised learning framework, Ground Penetrating Radar (GPR) profiles and the revealed structural

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 610-617 doi: 10.1007/s11684-021-0827-8

Abstract: anti-VEGF monoclonal antibody, has significantly improved the clinical outcomes of patients with advanced non-squamous

Keywords： bevacizumab     elderly patient     advanced non-small-cell lung cancer     overall survival     toxicity    

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MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1

Abstract:

● MSWNet was proposed to classify municipal solid waste.

Keywords： Municipal solid waste sorting     Deep residual network     Transfer learning     Cyclic learning rate     Visualization    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5

Abstract:

● A novel integrated machine learning method to analyze O3

Keywords： Ozone     Integrated method     Machine learning    

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Machine learning in building energy management: A critical review and future directions

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 239-256 doi: 10.1007/s42524-021-0181-1

Abstract: Over the past two decades, machine learning (ML) has elicited increasing attention in building energy

Keywords： building energy management     machine learning     integrated framework     knowledge evolution    

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Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: exploration of the design variable space for such scenarios, an adaptive sampling technique based on machine learning

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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Error analysis of the parameters for non-coaxial grazing X-ray microscope

ZHAO Lingling, HU Jiasheng, LI Xiang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 323-329 doi: 10.1007/s11465-007-0057-z

Abstract: A non-coaxial grazing X-ray microscope, consisting of four spherical mirrors, is designed for diagnosisA set of non-coaxial grazing X-ray microscopes is manufactured based on the tolerances.

Keywords： non-coaxial     spherical     manufacturing     necessary     diagnosis    

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Molecular classification of non-small-cell lung cancer: diagnosis, individualized treatment, and prognosis

Yue Yu, Jie He

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 157-171 doi: 10.1007/s11684-013-0272-4

Abstract:

Non-small-cell lung cancer (NSCLC) is the most common cause of premature death among the malignant

Keywords： non-small-cell lung cancer     molecular typing     individualized medicine     molecular-targeted therapy     gene expression    

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The world’s first offshore wind power non-desalination of seawater electrolysis for hydrogen production

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 317-319 doi: 10.1007/s11708-023-0888-2

Abstract: The world’s first offshore wind power non-desalination of seawater electrolysis for hydrogen production

Keywords： China     wind power non    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: In recent years, machine learning has been widely used in various pattern recognition tasks and has demonstratedMachine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveThis paper primarily aims to review the research and application of machine learning in the field ofThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelydiagnosis under actual operating conditions are revealed, and the future research trends of machine learning

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Identify the contribution of vehicle non-exhaust emissions: a single particle aerosol mass spectrometer

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 5, doi: 10.1007/s11783-023-1662-8

Abstract:

● A single particle observation was conducted in a high traffic flow road environment.

Keywords： Non-exhaust emissions     SPAMS     PMF     Roadside environment    

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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: Hence, a gated recurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predictdecision support for moving trajectory control and serve as a foundation for the application of deep learning

Keywords： dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

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Title Author Date Type Operation

Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

Longbing Cao

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Journal Article

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Journal Article

Machine learning in building energy management: A critical review and future directions

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Error analysis of the parameters for non-coaxial grazing X-ray microscope

ZHAO Lingling, HU Jiasheng, LI Xiang

Journal Article

Molecular classification of non-small-cell lung cancer: diagnosis, individualized treatment, and prognosis

Yue Yu, Jie He

Journal Article

The world’s first offshore wind power non-desalination of seawater electrolysis for hydrogen production

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Identify the contribution of vehicle non-exhaust emissions: a single particle aerosol mass spectrometer

Journal Article

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article