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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XXXI, 884 p. 221 illus., 150 illus. in color.)
Disciplina 620.00285
Collana Advances in Intelligent Systems and Computing
Soggetto topico Engineering—Data processing
Cooperating objects (Computer systems)
Computational intelligence
Machine learning
Big data
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Machine Learning
Big Data
ISBN 3-030-62743-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483068103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.)
Disciplina 004.678
Collana Advances in Intelligent Systems and Computing
Soggetto topico Engineering—Data processing
Cooperating objects (Computer systems)
Computational intelligence
Machine learning
Big data
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Machine Learning
Big Data
ISBN 3-030-62746-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483082303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer International Publishing, 2021
Descrizione fisica 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.)
Disciplina 004.678
Collana Advances in Intelligent Systems and Computing
Soggetto topico Engineering—Data processing
Cooperating objects (Computer systems)
Computational intelligence
Machine learning
Big data
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Machine Learning
Big Data
ISBN 3-030-62746-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910863143603321
Springer International Publishing, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer International Publishing, 2021
Descrizione fisica 1 online resource (XXXI, 884 p. 221 illus., 150 illus. in color.)
Disciplina 620.00285
Collana Advances in Intelligent Systems and Computing
Soggetto topico Engineering—Data processing
Cooperating objects (Computer systems)
Computational intelligence
Machine learning
Big data
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Machine Learning
Big Data
ISBN 3-030-62743-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910863143703321
Springer International Publishing, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1
Autore Macintyre John
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (1169 pages)
Altri autori (Persone) ZhaoJinghua
MaXiaomeng
Collana Lecture Notes on Data Engineering and Communications Technologies Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-89508-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Record Nr. UNINA-9910508442103321
Macintyre John  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2
Autore Macintyre John
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (999 pages)
Altri autori (Persone) ZhaoJinghua
MaXiaomeng
Collana Lecture Notes on Data Engineering and Communications Technologies Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-89511-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Record Nr. UNINA-9910508442203321
Macintyre John  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (999 pages)
Disciplina 006.3
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Engineering - Data processing
Cooperating objects (Computer systems)
Computational intelligence
Big data
Artificial intelligence
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Big Data
Artificial Intelligence
ISBN 3-030-89511-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining -- Analysis of Smart City Construction Based on 5G Data Technology -- Prediction of Stock Price Based on Artificial Intelligence Algorithm -- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining -- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars -- Computer Graphics and Image Software in Advertising Design -- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises -- Impact of Computer Network Technology on Regional Economic Development -- Chaos Algorithm of Electrical Control System Based on Neural Network Technology -- Pulse Signal Acquisition System Based on Match Pursuit Algorithm -- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm -- Reactive Optimization of Power System Based on K-means Algorithm -- Design and Structure Analysis of Manipulator based on Acceleration Sensor -- Discussion on Decision Tree Algorithm in University Teaching Management System. .
Record Nr. UNINA-9910523725703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (1169 pages)
Disciplina 006.31
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Engineering - Data processing
Cooperating objects (Computer systems)
Computational intelligence
Big data
Artificial intelligence
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Big Data
Artificial Intelligence
ISBN 3-030-89508-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Application of Artificial Intelligence in Arrangement Creation -- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++ -- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition -- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development -- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures -- Application of Artificial Intelligence Technology in English Online Learning Platform -- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine -- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era -- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology -- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- Application of 3D Computer Aided System in Dance Creation and Learning -- Data Selection and Machine Learning Algorithm Application under the Background of Big Data. .
Record Nr. UNINA-9910523725603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui