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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1



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Autore: Macintyre John Visualizza persona
Titolo: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing AG, , 2021
©2022
Descrizione fisica: 1 online resource (1169 pages)
Soggetto genere / forma: Electronic books.
Altri autori: ZhaoJinghua  
MaXiaomeng  
Nota di contenuto: Intro -- Foreword -- Organization -- General Chairs -- Program Committee Chairs -- Publicity Chairs -- Publication Chairs -- Local Organizing Chairs -- Program Committee Members -- Contents -- Novel Machine Learning Methods for IoT Security -- Application of Artificial Intelligence in Arrangement Creation -- Abstract -- 1 Introduction -- 2 Overview of Artificial Intelligence Technology -- 2.1 Definition of Artificial Intelligence Technology -- 2.2 Main Features of Artificial Intelligence Technology -- 3 The Main Application of Artificial Intelligence Technology in Music Composition -- 3.1 Neural Network -- 3.2 LSTM Long-Term and Short-Term Memory Unit -- 4 The Concrete Application of Artificial Intelligence in Composing Music -- 4.1 Intelligent Chord: The Early Intelligent Form of Music Arrangement -- 4.2 Intelligent Timbre: An Important Means of Semi Intelligent Music Arrangement -- 4.3 Intelligent Fabric: The Actual Embodiment of Intelligent Music Arrangement -- 5 The Application of Music in Chorus Arrangement -- 6 Conclusion -- Acknowledgements -- References -- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++ -- Abstract -- 1 Introduction -- 2 The Concatenate UNet++ Model Based on UNet++ -- 2.1 The Architecture of U-Net and UNet++ -- 2.2 Concatenate UNet++ Model -- 3 The Concatenate UNet++ Model Based on UNet++ -- 3.1 The Detail of Experiments -- 3.2 Datasets and Pre-process -- 3.3 Evaluation Metrics -- 3.4 Results and Comparison with Some Existing Methods -- 4 Conclusion -- References -- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition -- Abstract -- 1 Introduction -- 2 Experimental Methods -- 2.1 Experimental Equipment -- 2.2 Pronunciation Cooperators and Pronunciation Words -- 2.3 Signal and Parameter Processing.
3 Analysis of Experimental Results -- 3.1 Analysis of the Tone Patterns of Amdo Tibetan College Students' Mandarin -- 3.2 Comparison of the Tone Values Between Tibetan College Students in Amdo and Mandarin -- 3.3 Teaching Strategies and Learning Suggestions -- 4 Conclusion -- References -- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development -- Abstract -- 1 Introduction -- 2 Industrialization of Artificial Intelligence -- 3 How Artificial Intelligence Technology Promotes Economic Development -- 3.1 The Mutual Promotion of Artificial Intelligence and Manufacturing -- 3.2 Artificial Intelligence Upgrade in the Medical and Health Field -- 3.3 Development and Application of Smart City -- 3.4 Development of Smart Logistics -- 3.5 Development of Smart Retail -- 4 Exploration of the Path of Artificial Intelligence Technology to Promote Economic Development -- 4.1 Do a Good Job in Personnel Training -- 4.2 Deepening Corporate Reforms -- 4.3 Improving the Improvement of Innovation Ability -- 5 Conclusion -- References -- Influence of RPA Financial Robot on Financial Accounting and Its Countermeasures -- Abstract -- 1 Introduction -- 2 RPA Financial Robot Overview -- 2.1 Connotation of RPA Financial Robot -- 2.2 Characteristics of RPA Financial Robots -- 3 RPA the Positive Influence of Financial Robot on Financial Accounting -- 3.1 Improving the Efficiency of Financial Accounting -- 3.2 Ensuring the Quality of Financial Accounting -- 3.3 Reduce Labor Costs for Financial Accounting -- 4 Negative Effects of RPA Financial Robots on Financial Accounting -- 4.1 Operational Capacity Constraints -- 4.2 Structural Imbalances in Accountants -- 4.3 Increased Operational Support Costs -- 4.4 Security of Financial Information Needs to Be Tested -- 5 Countermeasures of Financial Accounting Under the Influence of RPA Financial Robot.
5.1 Building a "AI+RPA" Model -- 5.2 Transition to "Intelligent" Accountants -- 5.3 Cost-Benefit Risk Integrated -- 5.4 Establishment of Risk Early Warning Mechanisms -- 5.5 Accelerating the Transformation from "Financial Accounting" to "Management Accounting" -- 6 Conclusion -- References -- Application of Artificial Intelligence Technology in English Online Learning Platform -- Abstract -- 1 Introduction -- 2 Application of Artificial Intelligence Technology in English Online Learning Platform -- 2.1 Key Technologies of Genetic Algorithms in Artificial Intelligence -- 2.2 Analysis of Platform Requirements -- 3 Experiment -- 3.1 Build a Database -- 3.2 Determine Learning Content Indicators -- 3.3 Establish a Mathematical Model of Content Organization -- 3.4 Chromosome Coding -- 3.5 Calculate Fitness Value -- 3.6 Set Algorithm Termination Conditions -- 4 Discussion -- 5 Conclusions -- References -- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine -- Abstract -- 1 Introductions -- 2 Research on NIR Spectral Identification Model of Origin -- 2.1 NIR Origin Spectrum Identification Process -- 2.2 NIR Origin Spectrum Identification Model Algorithm of Deep Extreme Learning Machine -- 3 NIR Origin Spectrum Identification Model Experiment Based on Deep Extreme Learning Machine -- 3.1 The Purpose of the Experiment -- 3.2 Experimental Process -- 4 Analysis of Experimental Results -- 5 Conclusions -- Acknowledgements -- References -- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era -- Abstract -- 1 Introduction -- 2 Application of Artificial Intelligence in the New Media Era -- 2.1 News Algorithms for Accurate Content Distribution -- 2.2 A News Recommendation Algorithm Based on the Neural Network -- 3 Simulation Experiment of News Recommendation Algorithm Based on Neural Network.
3.1 Data Sources -- 3.2 Comparison Model -- 4 Simulation Experiment Results -- 4.1 Model Comparison -- 4.2 Kg Experimental Results of Different Proportions -- 5 Conclusions -- References -- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- Abstract -- 1 Introduction -- 2 Application of Machine Learning Stock Selection Algorithm in the Financial Field -- 2.1 Machine Learning Stock Selection Algorithm -- 2.2 Advantages of the Application of Machine Learning Stock Selection Algorithms in the Financial Field -- 2.3 Prediction of Stock Return Based on Machine Learning Stock Selection Algorithm -- 3 Experimental Research on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- 3.1 Algorithm Flow -- 3.2 Evaluation Index -- 3.3 Data Sources -- 4 Application Data Analysis of Machine Learning Stock Selection Algorithm in the Financial Field -- 4.1 Forecast Accuracy of Different Algorithms -- 4.2 Predictive Performance of Different Algorithms -- 5 Conclusion -- References -- Default Risk Prediction Based on Machine Learning Under Big Data Analysis Technology -- Abstract -- 1 Introduction -- 2 Default Prediction Based on Machine Learning -- 2.1 Data Selection -- 2.2 Model Selection -- 2.3 Evaluation Index -- 2.4 Algorithm Implementation -- 2.5 Comparison of Experimental Results -- 3 Conclusions -- References -- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- Abstract -- 1 Introduction -- 2 Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- 2.1 Demand Analysis of Music Intelligence System -- 2.2 The Overall Module Design of the System -- 2.3 Application of Machine Learning Algorithms in Music.
3 Investigation and Research on the Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- 3.1 System Environment -- 3.2 Experimental Data -- 3.3 Experimental Project -- 4 Application Data Analysis of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- 4.1 User Access Test -- 4.2 Function Module Test -- 5 Conclusion -- References -- Application of 3D Computer Aided System in Dance Creation and Learning -- Abstract -- 1 Introduction -- 2 The Research of 3DCA System in DC and Learning -- 2.1 3DCA Technology -- 2.2 Application of 3DCA System in DC -- 3 Research and Analysis -- 3.1 Research Objects -- 3.2 Research Process Steps -- 4 Research and Analysis on the Application of 3DCA System in DC and Learning -- 4.1 Correlation Coefficient Analysis of DC Under 3DCA System -- 4.2 Satisfaction Analysis of Computer Aided DC -- 5 Conclusions -- References -- Data Selection and Machine Learning Algorithm Application Under the Background of Big Data -- Abstract -- 1 Introduction -- 2 Research on Data Selection and Machine Learning Algorithm Application in the Context of Big Data -- 2.1 Machine Learning Implementation Method -- 2.2 The Construction Process of Random Forest -- 2.3 Random Group Sampling Ensemble Algorithm -- 3 Experiment -- 4 Discussion -- 4.1 Classification Results -- 4.2 Time Complexity Analysis -- 5 Conclusions -- References -- Analysis of the Drawbacks of English-Chinese Intelligent Machine Translation Based on Deep Learning -- Abstract -- 1 Introduction -- 2 An Overview of the Drawbacks of English-Chinese Intelligent Machine Translation Based on Deep Learning -- 2.1 Basic Principles of Machine Translation -- 2.2 Development Trend of Machine Translation -- 2.3 Disadvantages of English-Chinese Smart Translation.
2.4 English-Chinese Machine Translation Algorithm Based on Deep Learning.
Titolo autorizzato: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy  Visualizza cluster
ISBN: 3-030-89508-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910508442103321
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Serie: Lecture Notes on Data Engineering and Communications Technologies Ser.