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Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems [[electronic resource] ] : Using the Methods of Stochastic Processes / / by M. Reza Rahimi Tabar
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  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui