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|a Q334-342
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|a Hemachandran, K.
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|a Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023).
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|a 1st ed.
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|a Dordrecht :
|b Atlantis Press (Zeger Karssen),
|c 2023.
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|c ©2023.
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|a 1 online resource (576 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|2 rdacarrier
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|a Atlantis Highlights in Intelligent Systems Series ;
|v v.9
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|a Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- 1 Review Procedure -- 2 Quality Criteria -- 3 Key Metrics -- Digital Economy Enabling High-Quality Manufacturing Development: Evidence from Chinese Provincial Data -- 1 Introduction -- 2 Theoretical Mechanism and Research Hypothesis -- 2.1 Digital Economy Enables the Direct Mechanism of Action of High-Quality Manufacturing Development -- 2.2 Digital Economy, Innovation Effect and High-Quality Development of Manufacturing -- 2.3 Digital Economy, Efficient Resource Allocation and High-Quality Development of Manufacturing -- 3 Study Design -- 3.1 Model Building -- 3.2 Variable Selection and Data Sources -- 4 Empirical Analysis -- 4.1 Baseline Regression Analysis -- 4.2 Endogeneity Analysis -- 4.3 Subregional Inspection -- 4.4 Mechanism of Action Analysis -- 5 Conclusions -- References -- The Lexicon Construction and Quantitative Research of Digital Economy Policy Texts -- 1 Introduction -- 2 Research Status -- 3 Lexicon Construction of Digital Economic Policy -- 3.1 Data Sources -- 3.2 Neologism Discovery -- 3.3 Comparison of Segmentation Effect -- 4 Classification of Policy Text -- 4.1 Experimental Data -- 4.2 Model and Parameter -- 4.3 Experimental Result -- 5 Analysis of Policy Hotspots -- 5.1 Policy Keywords -- 5.2 Policy Topics -- 6 Conclusion -- References -- Measurement and Evaluation of Provincial Digital Economy Development Efficiency -- 1 Introduction -- 2 Provincial Digital Economy Development Level Measurement -- 2.1 Construction of Indicator System -- 2.2 Data Sources -- 2.3 Analysis of Results -- 3 Analysis of Provincial Digital Economy Output Efficiency -- 3.1 Research Models -- 3.2 Empirical Results and Analysis -- 4 Conclusions and Recommendations -- 4.1 Conclusions -- 4.2 Research Recommendations -- References.
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|a How Digital Transformation of Enterprises Can Improve Labor Productivity: Evidence from Chinese-Listed Companies -- 1 Introduction -- 2 Literature Review and Hypothesis -- 3 Models and Data -- 3.1 Models -- 3.2 Data -- 4 Results and Discussion -- 4.1 Digital Transformation and Labor Productivity -- 4.2 Intermediate Mechanism: Capital Intensity (CI) and Innovation Input (R& -- D) -- 4.3 Heterogeneity Analysis -- 5 Conclusions -- References -- Design of Adaptive Defense System for Marketing Information Management Based on Blockchain Technology -- 1 Introduction -- 2 Application of Blockchain Technology in Marketing Information Management Adaptive Defense System -- 2.1 Blockchain Basics -- 2.2 Blockchain-Related Technologies -- 2.3 Scenarios of Blockchain Technology Application -- 3 Network Security Adaptive Defense Technology -- 3.1 Intrusion Detection -- 3.2 Intrusion Prevention -- 4 Design of Adaptive Defense System for Marketing Information Management -- 4.1 System Architecture -- 4.2 System Function Module -- 5 System Testing -- 5.1 Set up the Network Environment -- 5.2 Verify the Performance Improvement Effect -- 6 Conclusion -- References -- Comparative Study of LSTM and Transformer for A-Share Stock Price Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Stock Price in China -- 2.2 Deep Learning in Stock Prediction -- 3 Methodology -- 3.1 LSTM -- 3.2 Transformer -- 3.3 Evaluation Metrics -- 4 Experiments -- 4.1 Data Selection -- 4.2 Data Pre-processing -- 5 Experiment Result -- 6 Conclusions -- References -- Can Digital Inclusive Finance Improve Business Export Resilience? -- 1 Introduction -- 2 Theoretical Analysis and Hypotheses -- 3 Study Design -- 3.1 Sample Selection and Data Sources -- 3.2 Variable Setting -- 3.3 Model Construction -- 4 Analysis of Empirical Results -- 4.1 Descriptive Statistics -- 4.2 Correlation Analysis.
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|a 4.3 Analysis of Regression Results -- 4.4 Analysis of the Mechanism of Action -- 4.5 Heterogeneity Analysis -- 5 Robustness Test -- 5.1 Substitution of Explanatory Variables -- 5.2 Change in Estimation Method and Sample Scope -- 5.3 Instrumental Variable Method -- 6 Research Findings and Insights -- References -- Research on Active Firefighting Robot Navigation Based on the Improved AUKF Algorithm -- 1 Introduction -- 2 Multi-source Fusion Localization Method Based on Improved AUKF Algorithm -- 3 Experimental Analysis -- 4 Conclusion -- References -- Analysis and Research on Big Data Storage Technology Based on Machine Learning -- 1 Introduction -- 2 Neural Network Overview -- 3 The Basic Principles and Models of Artificial Neural Networks -- 3.1 The Basic Principle of Neural Network Composition -- 3.2 Structure of Neural Networks -- 4 BP Algorithm -- 4.1 Mathematical Description of BP Algorithm -- 4.2 Shortcomings of BP Algorithm -- 5 Improved Modeling of Neural Network BP Algorithm Using Genetic Algorithm (GA) -- 6 Design of the System -- 6.1 System Composition -- 7 Conclusions -- References -- k-Surrounding Neighbors: Incorporating Serendipity in Collaborative Recommendations -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Evaluation on the MovieLens Dataset -- 4.1 Prediction Accuracy -- 4.2 Intra-list Diversity -- 4.3 Novelty -- 5 Conclusion -- References -- Data Generation and Latent Space Based Feature Transfer Using ED-VAEGAN, an Improved Encoder and Decoder Loss VAEGAN Network -- 1 Introduction -- 2 Methods -- 2.1 VAE'S Reparameterization Trick -- 2.2 Training Theory of GANs -- 2.3 Loss Functions VAE -- 2.4 Loss Functions DCGAN -- 2.5 Loss Functions ED-VAEGAN -- 2.6 Loss Functions f-w VAEGAN -- 2.7 Loss Functions p-w VAEGAN -- 2.8 Latent Space Continuity Quality -- 3 Experiments -- 4 Results and Discussions -- 5 Conclusion.
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|a References -- Digital Investment Risk Evaluation Model of Power Grid Enterprises Based on FAHP-AOA-LSSVM -- 1 Introduction -- 2 Fuzzy Analytic Hierarchy Process -- 2.1 Establish Judgment Matrix -- 2.2 Determine the Membership Function -- 2.3 Single-Factor Evaluation -- 2.4 Determine the Weight Vector -- 2.5 Consistency Test -- 3 AOA's Improved Risk Evaluation Model of LSSVM -- 3.1 Principle of LSSVM Evaluation -- 3.2 AOA Search for Optimal Solutions of LSSVM Parameters -- 4 Construction of Risk Evaluation Index System for Power Grid Digital Investment -- 4.1 Questionnaire Design and Data Sources -- 4.2 Expert Evaluation -- 5 Example Analysis -- 5.1 Determining the Evaluation Value of the Project -- 5.2 Parameter Setting -- 5.3 Analysis of Results -- 6 Conclusion -- References -- Research on Machine Learning Driven Stock Selection Strategy -- 1 Introduction -- 2 Methodology -- 2.1 Research Scheme -- 2.2 Data -- 3 Empirical Analysis -- 3.1 Single Machine Learning Algorithm Performance -- 3.2 Integrated Machine Learning Algorithm Performance -- 4 Important Anomalies of Chinese Stock Market -- 5 Discussion and Conclusion -- 5.1 Discussion -- 5.2 Conclusion -- References -- An Identification Method for High Voltage Power Grid Insulator Based on Mobilenet-SSD Network -- 1 Introduction -- 2 Target Detection Network of Lightweight Mobilenet-SSD -- 2.1 Multi-scale Feature Fusion Target Detection Network -- 2.2 Light Weight Backbone Feature Extraction Network -- 2.3 Fused Network of MobileNet and SSD -- 3 Sample Analysis -- 4 Conclusion -- References -- Insights into the Correlation Between Digital Marketing Effectiveness and the 5A Crowd Assets Model -- 1 Introduction -- 2 Digital Marketing Theory and the Landing of Contemporary e-commerce Data Platforms -- 2.1 Digital Marketing and Consumer Operations.
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|a 2.2 Crowd Assets Model from Traditional to Digital Marketing -- 2.3 Upgrade of Crowd Assets Model-- 5A -- 3 Study Design -- 3.1 Research Background -- 3.2 Correlation Analysis of Seeding with A3 -- 3.3 Correlation Analysis Between A3 and GMV (Gross Merchandise Volume) -- 3.4 K-means Clustering Algorithm -- 4 Research Conclusions and Values -- References -- A Credit Card Default Prediction Method Based on CatBoost -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experiment -- 4.1 Feature Engineering -- 4.2 Training Parameters -- 4.3 Evaluation Metrics -- 4.4 Evaluation Results -- 5 Conclusion -- References -- Prediction of Shanghai Composite Index Based on Macroeconomic Indicators and Artificial Intelligence Method -- 1 Introduction -- 2 Macro-economy and Stock Market Forecast -- 2.1 Macro-economy -- 2.2 Stock Market Forecast -- 3 Neural Network and Support Vector Machine Research -- 3.1 Introduction to Neural Networks -- 3.2 Learning of Neural Networks -- 3.3 Support Vector Machine -- 4 An Empirical Study of Machine Learning Methods in SSE Index Forecasting -- 4.1 Introduction to the Empirical Environment -- 4.2 SSE Index Prediction Based on BP Neural Network -- 4.3 SSE Index Prediction Based on Support Vector Machine -- 5 Conclusion -- References -- Research on the Development Level of Digital Economy Based on Fuzzy Comprehensive Evaluation -- 1 Introduction -- 2 Fuzzy Comprehensive Evaluation of Digital Economy Development in Anhui Province -- 2.1 Indicator System Determination and Weight Calculation -- 2.2 Fuzzy Comprehensive Evaluation -- 2.3 Chapter Summary -- 3 Conclusions -- References -- Factors Influencing Customer Addictive Purchase Behaviours of Toy Blind Boxes -- 1 Introduction -- 2 Research Methods -- 3 Research Design -- 4 Analysis -- 4.1 Qualitative Analysis -- 4.2 Further Analysis -- 5 Discussions -- 6 Conclusion.
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|a References.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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| 700 |
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|a Boddu, Raja Sarath Kumar.
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| 700 |
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|a Alhasan, Waseem.
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| 776 |
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|i Print version:
|a Hemachandran, K.
|t Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
|d Dordrecht : Atlantis Press (Zeger Karssen),c2023
|z 9789464632217
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a Atlantis Highlights in Intelligent Systems Series
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30721388
|z Click to View
|
