Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems [[electronic resource] ] : Using the Methods of Stochastic Processes / / by M. Reza Rahimi Tabar |
Autore | Rahimi Tabar M. Reza |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XVIII, 280 p. 41 illus., 22 illus. in color.) |
Disciplina | 519.2 |
Collana | Understanding Complex Systems |
Soggetto topico |
Processos estocàstics
Sistemes complexos Anàlisi de sèries temporals Statistical physics Dynamical systems System theory Probabilities Economic theory Computational complexity Neurosciences Complex Systems Probability Theory and Stochastic Processes Economic Theory/Quantitative Economics/Mathematical Methods Complexity |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-18472-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Introduction -- 2 Introduction to Stochastic Processes -- 3 Kramers-Moyal Expansion and Fokker-Planck Equation -- 4 Continuous Stochastic Process -- 5 The Langevin Equation and Wiener Process -- 6 Stochastic Integration, It^o and Stratonovich Calculi -- 7 Equivalence of Langevin and Fokker-Planck Equations -- 8 Examples of Stochastic Calculus -- 9 Langevin Dynamics in Higher Dimensions -- 10 Levy Noise Driven Langevin Equation and its Time Series-Based Reconstruction -- 11 Stochastic Processes with Jumps and Non-Vanishing Higher-Order Kramers-Moyal Coefficients -- 12 Jump-Diffusion Processes -- 13 Two-Dimensional (Bivariate) Jump-Diffusion Processes -- 14 Numerical Solution of Stochastic Differential Equations: Diffusion and Jump-Diffusion Processes -- 15 The Friedrich-Peinke Approach to Reconstruction of Dynamical Equation for Time Series: Complexity in View of Stochastic Processes -- 16 How To Set Up Stochastic Equations For Real-World Processes: Markov-Einstein Time Scale -- 17 Reconstruction of Stochastic Dynamical Equations: Exemplary Stationary Diffusion and Jump-Diffusion Processes -- 18 The Kramers-Moyal Coefficients of Non-Stationary Time series in The Presence of Microstructure (Measurement) Noise -- 19 Influence of Finite Time Step in Estimating of the Kramers-Moyal Coefficients -- 20 Distinguishing Diffusive and Jumpy Behaviors in Real-World Time Series -- 21 Reconstruction of Langevin and Jump-Diffusion Dynamics From Empirical Uni- and Bivariate Time Series -- 22 Applications and Outlook -- 23 Epileptic Brain Dynamics. |
Record Nr. | UNINA-9910337876203321 |
Rahimi Tabar M. Reza
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Complex, Intelligent and Software Intensive Systems [[electronic resource] ] : Proceedings of the 15th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2021) / / edited by Leonard Barolli, Kangbin Yim, Tomoya Enokido |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (788 pages) |
Disciplina | 620.00151 |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Engineering - Data processing Dynamics Nonlinear theories Computational Intelligence Data Engineering Applied Dynamical Systems Intel·ligència artificial Informàtica tova Sistemes complexos |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-79725-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Welcome Message of CISIS-2021 International Conference Organizers -- Organization -- CISIS-2021 Organizing Committee -- Honorary Co-chairs -- General Co-chairs -- Program Committee Co-chairs -- International Advisory Board -- Award Co-chairs -- International Liaison Co-chairs -- Publicity Co-chairs -- Finance Chair -- Local Arrangement Co-chairs -- Web Administrator Chairs -- Steering Committee Chair -- Track Areas and PC Members -- 1. Database and Data Mining Applications -- Sec101 -- Sec102 -- 2. Artificial Intelligence and Bio-inspired Computing -- Sec104 -- Sec105 -- 3. Multimedia Systems and Virtual Reality -- Sec106 -- Sec161 -- 4. Next Generation Wireless Networks -- Sec107 -- Sec108 -- 5. Semantic Web and Web Services -- Sec109 -- Sec110 -- 6. Security and Trusted Computing -- Sec112 -- Sec113 -- 7. HPC and Cloud Computing Services and Orchestration Tools -- Sec116 -- Sec1177 -- 8. Parallel, Distributed and Multicore Computing -- Sec119 -- Sec1200 -- Sec1700 -- Sec121 -- Sec122 -- 10. Complex Systems, Software Modeling and Analytics -- Sec125 -- Sec126 -- 11. Multi-agent Systems, SLA Cloud and Social Computing -- Sec131 -- Sec138 -- 12. Internet of Everything and Machine Learning -- Sec141 -- Sec142 -- CISIS-2021 Reviewers -- CISIS-2021 Keynote Talks -- Asking AI Why: Explainable Artificial Intelligence -- Coevolution of Semantic and Blockchain Technologies -- Contents -- Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University -- 1 Introduction -- 2 Related Work -- 3 Data Description -- 4 Proposed Approach -- 5 Experimental Results -- 6 Conclusion -- References -- The Role of Collective Engagement to Strengthen Organizational Identity -- Abstract -- 1 Introduction -- 2 Literature Review and Hypothesis Development -- 2.1 Collaboration and Competition.
2.2 Managerial Motivation and Collective Engagement -- 2.3 Engagement and Community Identity -- 2.4 Collapetition Management Practices -- 3 Method -- 4 Result and Discussion -- 5 Conclusion, Implication and Future Research -- References -- A Novel Structural and Semantic Similarity in Social Recommender Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dependency Graph of Users -- 3.2 Homophily Concept -- 3.3 User Modeling -- 3.4 Structural Information Extraction -- 4 Experiment and Results -- 4.1 Datasets -- 4.2 Evaluation Metrics -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Trustworthy Explainability Acceptance: A New Metric to Measure the Trustworthiness of Interpretable AI Medical Diagnostic Systems -- 1 Introduction -- 2 Background and Related Work -- 2.1 Need for AI Explainability Metrics -- 2.2 Trust Mechanism -- 3 AI Trustworthy Explainability Acceptance Metric -- 4 Evaluating AI System for DCIS Recurrence Prediction -- 4.1 Background -- 4.2 Data -- 4.3 Experiments and Results -- 5 Conclusions -- References -- Entity Relation Extraction Based on Multi-attention Mechanism and BiGRU Network -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Model Structure -- 3.1 Embedding Layer -- 3.2 BiGRU Neural Network -- 3.3 Multi-attention Strategy -- 4 Experiment and Analysis -- 4.1 Dataset -- 4.2 Settings -- 4.3 Baseline -- 4.4 Results -- 5 Conclusion -- Acknowledgments -- References -- Time Series Prediction of Wind Speed Based on SARIMA and LSTM -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Establishment of Combined Prediction Model Based on SARIMA-LSTM -- 3.1 Seasonal Auto Regressive Integrated Moving Average -- 3.2 Long Short-Term Memory -- 3.2.1 Recurrent Neural Network -- 3.2.2 LSTM -- 3.3 Modeling Process -- 4 Experiment and Analysis -- 4.1 Data Source and Preprocessing. 4.2 SARIMA Model Construction and Testing -- 4.3 SARIMA-LSTM Model Wind Speed Prediction -- 4.4 Error Analysis -- 5 Conclusion -- Acknowledgments -- References -- Dimensionality Reduction on Metagenomic Data with Recursive Feature Elimination -- 1 Introduction -- 2 Related Research -- 3 Methodology -- 3.1 Implementing Process for Study -- 3.2 Using Recursive Feature Elimination for Feature Selection -- 3.3 Using Random Forest Algorithm -- 3.4 Using Feature Selection Randomly for Comparison -- 3.5 Using K-Fold Cross-Validation for Separating Training and Testing Data -- 3.6 Using Scoring Metrics to Evaluate Predicting Results -- 4 Experiments -- 4.1 Dataset -- 4.2 Using RFE with Random Forest Algorithm to Select Features and Train Model -- 4.3 Predicting Results and Comparison with Randomly Selected Features -- 5 Conclusion -- References -- The Application of Improved Grasshopper Optimization Algorithm to Flight Delay Prediction-Based on Spark -- Abstract -- 1 Introduction -- 2 Grasshopper Optimization Algorithm -- 2.1 The Adaptive Descent of S-shaped Curve -- 2.2 Sigmoid Curve Descent Based on Logistic Mapping -- 3 SPGOA-RF Algorithm -- 3.1 Distributed Grasshopper Optimization Algorithm -- 3.2 Optimization of Random Forest Parameter Based on SPGOA -- 4 Simulation Experiment and Analysis -- 4.1 Analysis of the Effectiveness of Improved GOA -- 4.2 Sample Data Set Construction -- 4.3 Flight Delay Detection Analysis -- 4.4 Analysis of Distributed Algorithm Effect -- 5 Conclusion -- Acknowledgments -- References -- Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction -- Abstract -- 1 Introduction -- 2 Relevant Knowledge -- 3 Improving SOA -- 3.1 Population Uniform Distribution Strategy -- 3.2 Cauchy Mutation -- 3.3 CC-SOA Based on Spark -- 4 Analysis of Experimental Results -- 4.1 Experimental Environment. 4.2 Experimental Analysis -- 5 Conclusion -- Acknowledgments -- References -- Performance Evaluation of WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium Distribution of Mesh Clients and Different Number of Mesh Routers -- 1 Introduction -- 2 Proposed and Implemented Simulation System -- 2.1 Velocities and Positions of Particles -- 2.2 Routers Replacement Methods -- 2.3 DGA Operations -- 2.4 Fitness and Migration Functions -- 2.5 Particle-Pattern and Gene Coding -- 3 Simulation Results -- 4 Conclusions -- References -- A New Scheme for Slice Overloading Cost in 5G Wireless Networks Considering Fuzzy Logic -- 1 Introduction -- 2 Software-Defined Networks (SDNs) -- 3 Outline of Fuzzy Logic -- 3.1 Linguistic Variables -- 3.2 Fuzzy Control Rules -- 3.3 Defuzzificaion Method -- 4 Proposed Fuzzy-Based System -- 5 Simulation Results -- 6 Conclusions and Future Work -- References -- COVID-Prevention-Based Parking with Risk Factor Computation -- 1 Introduction -- 2 Related Work -- 3 Anti-COVID-Standards-Based Parking -- 3.1 First Phase: Information Loading -- 3.2 Second Phase: Parking Classification -- 3.3 Third Phase: Risk Factor Computation -- 4 Example -- 5 Conclusions -- References -- Coarse Traffic Classification for High-Bandwidth Connections in a Computer Network Using Deep Learning Techniques -- Abstract -- 1 Introduction -- 2 The Proposed Approach -- 2.1 Research Stand -- 2.2 Acquiring Data -- 2.3 Adjusting the Data -- 2.4 Adjusting the Data -- 2.5 Predictive Model -- 2.6 Interpretation of the Results Obtained -- 3 Examples of Application -- 4 Conclusion -- Acknowledgments -- References -- A Privacy Preserving Hybrid Blockchain Based Announcement Scheme for Vehicular Energy Network -- 1 Introduction -- 2 Related Work -- 2.1 Authentication -- 2.2 Trust Management -- 2.3 Privacy -- 2.4 Efficiency -- 3 Problem Statement. 4 System Model -- 4.1 Entities -- 4.2 Conclusion -- References -- Prediction of Wide Area Road State Using Measurement Sensor Data and Meteorological Mesh Data -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Road State Sensor System -- 4 Temporal and Geological Prediction of Road Conditions -- 4.1 Temporal Prediction Method of Road State -- 4.2 Geological Prediction Method of Road State -- 5 Conclusions and Future Works -- Acknowledgments -- References -- A Coverage Construction and Hill Climbing Approach for Mesh Router Placement Optimization: Simulation Results for Different Number of Mesh Routers and Instances Considering Normal Distribution of Mesh Clients -- 1 Introduction -- 2 Mesh Router Placement Problem -- 3 Proposed System -- 3.1 CCM for Mesh Router Placement Optimization -- 3.2 CCM-based HC for Mesh Router Placement Optimization -- 4 Simulation Results -- 5 Conclusion -- References -- Related Entity Expansion and Ranking Using Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 4 Search Log-Based Model -- 5 Search Log and Knowledge Graph-Based Model -- 6 Evaluation -- 7 Conclusion -- References -- Zero Trust Security in the Mist Architecture -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Mist Architecture -- 2.2 Zero Trust Network -- 3 Mist Architecture for ZTN -- 3.1 System Overview -- 3.2 IAM -- 3.3 IAP and IAP Connector -- 3.4 SIEM -- 3.5 MDM -- 3.6 Others -- 4 Evaluations -- 5 Conclusions -- Acknowledgments -- References -- Blockchain Based Authentication for End-Nodes and Efficient Cluster Head Selection in Wireless Sensor Networks -- 1 Introduction -- 2 Related Work -- 2.1 Registration and Authentication of Nodes -- 2.2 Storage Issues in Network Nodes -- 2.3 Data Privacy of Nodes -- 2.4 Excessive Energy Consumption -- 2.5 Malicious Nodes Detection and Removal from Networks. 2.6 Single Point of Failure Issue Due to Centralized Authority. |
Record Nr. | UNINA-9910488715903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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