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Computational network theory : theoretical foundations and applications / / Edited by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl
Computational network theory : theoretical foundations and applications / / Edited by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH Verlang GmbH & Co. KGaA, , 2015
Descrizione fisica 1 online resource (281 p.)
Disciplina 006.3
Collana Quantitative and network biology
Soggetto topico Electronic commerce
Computational intelligence
Soggetto genere / forma Electronic books.
ISBN 3-527-69154-5
3-527-69151-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Contents; Color Plates; Preface; List of Contributors; Chapter 1 Model Selection for Neural Network Models: A Statistical Perspective; 1.1 Introduction; 1.2 Feedforward Neural Network Models; 1.3 Model Selection; 1.3.1 Feature Selection by Relevance Measures; 1.3.2 Some Numerical Examples; 1.3.3 Application to Real Data; 1.4 The Selection of the Hidden Layer Size; 1.4.1 A Reality Check Approach; 1.4.2 Numerical Examples by Using the Reality Check; 1.4.3 Testing Superior Predictive Ability for Neural Network Modeling
1.4.4 Some Numerical Results Using Test of Superior Predictive Ability1.4.5 An Application to Real Data; 1.5 Concluding Remarks; References; Chapter 2 Measuring Structural Correlations in Graphs; 2.1 Introduction; 2.1.1 Solutions for Measuring Structural Correlations; 2.2 Related Work; 2.3 Self Structural Correlation; 2.3.1 Problem Formulation; 2.3.2 The Measure; 2.3.2.1 Random Walk and Hitting Time; 2.3.2.2 Decayed Hitting Time; 2.3.3 Computing Decayed Hitting Time; 2.3.3.1 Iterative Approximation; 2.3.3.2 A Sampling Algorithm for h(vi,B); 2.3.3.3 Complexity; 2.3.4 Assessing SSC
2.3.4.1 Estimating ρ (Vq)2.3.4.2 Estimating the Significance of ρ (Vq); 2.3.5 Empirical Studies; 2.3.5.1 Datasets; 2.3.5.2 Performance of DHT Approximation; 2.3.5.3 Effectiveness on Synthetic Events; 2.3.5.4 SSC of Real Event; 2.3.5.5 Scalability of Sampling-alg; 2.3.6 Discussions; 2.4 Two-Event Structural Correlation; 2.4.1 Preliminaries and Problem Formulation; 2.4.2 Measuring TESC; 2.4.2.1 The Test; 2.4.2.2 Reference Nodes; 2.4.3 Reference Node Sampling; 2.4.3.1 Batch_BFS; 2.4.3.2 Importance Sampling; 2.4.3.3 Global Sampling in Whole Graph; 2.4.3.4 Complexity Analysis; 2.4.4 Experiments
2.4.4.1 Graph Datasets2.4.4.2 Event Simulation Methodology; 2.4.4.3 Performance Comparison; 2.4.4.4 Batch Importance Sampling; 2.4.4.5 Impact of Graph Density; 2.4.4.6 Efficiency and Scalability; 2.4.4.7 Real Events; 2.4.5 Discussions; 2.5 Conclusions; Acknowledgments; References; Chapter 3 Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction; 3.1 Introduction; 3.2 Graph Theory: Some Basic Concepts; 3.2.1 Connectivity in Graphs; 3.2.2 Subgraphs and Special Graphs; 3.3 Matrix Theory: Some Basic Concepts; 3.3.1 Trace and Determinant of a Matrix
3.3.2 Eigenvalues and Eigenvectors of a Matrix3.4 Graph Matrices; 3.4.1 Adjacency Matrix; 3.4.2 Incidence Matrix; 3.4.3 Degree Matrix and Diffusion Matrix; 3.4.4 Laplace Matrix; 3.4.5 Cut-Set Matrix; 3.4.6 Path Matrix; 3.5 Spectral Graph Theory: Some Basic Results; 3.5.1 Spectral Characterization of Graph Connectivity; 3.5.1.1 Spectral Theory and Walks; 3.5.2 Spectral Characteristics of some Special Graphs and Subgraphs; 3.5.2.1 Tree; 3.5.2.2 Bipartite Graph; 3.5.2.3 Complete Graph; 3.5.2.4 Regular Graph; 3.5.2.5 Line Graph; 3.5.3 Spectral Theory and Graph Colouring
3.5.4 Spectral Theory and Graph Drawing
Record Nr. UNINA-9910463483103321
Weinheim, Germany : , : Wiley-VCH Verlang GmbH & Co. KGaA, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational network theory : theoretical foundations and applications / / Edited by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl
Computational network theory : theoretical foundations and applications / / Edited by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH Verlang GmbH & Co. KGaA, , 2015
Descrizione fisica 1 online resource (281 p.)
Disciplina 006.3
Collana Quantitative and network biology
Soggetto topico Electronic commerce
Computational intelligence
ISBN 3-527-69154-5
3-527-69151-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Contents; Color Plates; Preface; List of Contributors; Chapter 1 Model Selection for Neural Network Models: A Statistical Perspective; 1.1 Introduction; 1.2 Feedforward Neural Network Models; 1.3 Model Selection; 1.3.1 Feature Selection by Relevance Measures; 1.3.2 Some Numerical Examples; 1.3.3 Application to Real Data; 1.4 The Selection of the Hidden Layer Size; 1.4.1 A Reality Check Approach; 1.4.2 Numerical Examples by Using the Reality Check; 1.4.3 Testing Superior Predictive Ability for Neural Network Modeling
1.4.4 Some Numerical Results Using Test of Superior Predictive Ability1.4.5 An Application to Real Data; 1.5 Concluding Remarks; References; Chapter 2 Measuring Structural Correlations in Graphs; 2.1 Introduction; 2.1.1 Solutions for Measuring Structural Correlations; 2.2 Related Work; 2.3 Self Structural Correlation; 2.3.1 Problem Formulation; 2.3.2 The Measure; 2.3.2.1 Random Walk and Hitting Time; 2.3.2.2 Decayed Hitting Time; 2.3.3 Computing Decayed Hitting Time; 2.3.3.1 Iterative Approximation; 2.3.3.2 A Sampling Algorithm for h(vi,B); 2.3.3.3 Complexity; 2.3.4 Assessing SSC
2.3.4.1 Estimating ρ (Vq)2.3.4.2 Estimating the Significance of ρ (Vq); 2.3.5 Empirical Studies; 2.3.5.1 Datasets; 2.3.5.2 Performance of DHT Approximation; 2.3.5.3 Effectiveness on Synthetic Events; 2.3.5.4 SSC of Real Event; 2.3.5.5 Scalability of Sampling-alg; 2.3.6 Discussions; 2.4 Two-Event Structural Correlation; 2.4.1 Preliminaries and Problem Formulation; 2.4.2 Measuring TESC; 2.4.2.1 The Test; 2.4.2.2 Reference Nodes; 2.4.3 Reference Node Sampling; 2.4.3.1 Batch_BFS; 2.4.3.2 Importance Sampling; 2.4.3.3 Global Sampling in Whole Graph; 2.4.3.4 Complexity Analysis; 2.4.4 Experiments
2.4.4.1 Graph Datasets2.4.4.2 Event Simulation Methodology; 2.4.4.3 Performance Comparison; 2.4.4.4 Batch Importance Sampling; 2.4.4.5 Impact of Graph Density; 2.4.4.6 Efficiency and Scalability; 2.4.4.7 Real Events; 2.4.5 Discussions; 2.5 Conclusions; Acknowledgments; References; Chapter 3 Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction; 3.1 Introduction; 3.2 Graph Theory: Some Basic Concepts; 3.2.1 Connectivity in Graphs; 3.2.2 Subgraphs and Special Graphs; 3.3 Matrix Theory: Some Basic Concepts; 3.3.1 Trace and Determinant of a Matrix
3.3.2 Eigenvalues and Eigenvectors of a Matrix3.4 Graph Matrices; 3.4.1 Adjacency Matrix; 3.4.2 Incidence Matrix; 3.4.3 Degree Matrix and Diffusion Matrix; 3.4.4 Laplace Matrix; 3.4.5 Cut-Set Matrix; 3.4.6 Path Matrix; 3.5 Spectral Graph Theory: Some Basic Results; 3.5.1 Spectral Characterization of Graph Connectivity; 3.5.1.1 Spectral Theory and Walks; 3.5.2 Spectral Characteristics of some Special Graphs and Subgraphs; 3.5.2.1 Tree; 3.5.2.2 Bipartite Graph; 3.5.2.3 Complete Graph; 3.5.2.4 Regular Graph; 3.5.2.5 Line Graph; 3.5.3 Spectral Theory and Graph Colouring
3.5.4 Spectral Theory and Graph Drawing
Record Nr. UNINA-9910788289203321
Weinheim, Germany : , : Wiley-VCH Verlang GmbH & Co. KGaA, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational network theory : theoretical foundations and applications / / Edited by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl
Computational network theory : theoretical foundations and applications / / Edited by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH Verlang GmbH & Co. KGaA, , 2015
Descrizione fisica 1 online resource (281 p.)
Disciplina 006.3
Collana Quantitative and network biology
Soggetto topico Electronic commerce
Computational intelligence
ISBN 3-527-69154-5
3-527-69151-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Contents; Color Plates; Preface; List of Contributors; Chapter 1 Model Selection for Neural Network Models: A Statistical Perspective; 1.1 Introduction; 1.2 Feedforward Neural Network Models; 1.3 Model Selection; 1.3.1 Feature Selection by Relevance Measures; 1.3.2 Some Numerical Examples; 1.3.3 Application to Real Data; 1.4 The Selection of the Hidden Layer Size; 1.4.1 A Reality Check Approach; 1.4.2 Numerical Examples by Using the Reality Check; 1.4.3 Testing Superior Predictive Ability for Neural Network Modeling
1.4.4 Some Numerical Results Using Test of Superior Predictive Ability1.4.5 An Application to Real Data; 1.5 Concluding Remarks; References; Chapter 2 Measuring Structural Correlations in Graphs; 2.1 Introduction; 2.1.1 Solutions for Measuring Structural Correlations; 2.2 Related Work; 2.3 Self Structural Correlation; 2.3.1 Problem Formulation; 2.3.2 The Measure; 2.3.2.1 Random Walk and Hitting Time; 2.3.2.2 Decayed Hitting Time; 2.3.3 Computing Decayed Hitting Time; 2.3.3.1 Iterative Approximation; 2.3.3.2 A Sampling Algorithm for h(vi,B); 2.3.3.3 Complexity; 2.3.4 Assessing SSC
2.3.4.1 Estimating ρ (Vq)2.3.4.2 Estimating the Significance of ρ (Vq); 2.3.5 Empirical Studies; 2.3.5.1 Datasets; 2.3.5.2 Performance of DHT Approximation; 2.3.5.3 Effectiveness on Synthetic Events; 2.3.5.4 SSC of Real Event; 2.3.5.5 Scalability of Sampling-alg; 2.3.6 Discussions; 2.4 Two-Event Structural Correlation; 2.4.1 Preliminaries and Problem Formulation; 2.4.2 Measuring TESC; 2.4.2.1 The Test; 2.4.2.2 Reference Nodes; 2.4.3 Reference Node Sampling; 2.4.3.1 Batch_BFS; 2.4.3.2 Importance Sampling; 2.4.3.3 Global Sampling in Whole Graph; 2.4.3.4 Complexity Analysis; 2.4.4 Experiments
2.4.4.1 Graph Datasets2.4.4.2 Event Simulation Methodology; 2.4.4.3 Performance Comparison; 2.4.4.4 Batch Importance Sampling; 2.4.4.5 Impact of Graph Density; 2.4.4.6 Efficiency and Scalability; 2.4.4.7 Real Events; 2.4.5 Discussions; 2.5 Conclusions; Acknowledgments; References; Chapter 3 Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction; 3.1 Introduction; 3.2 Graph Theory: Some Basic Concepts; 3.2.1 Connectivity in Graphs; 3.2.2 Subgraphs and Special Graphs; 3.3 Matrix Theory: Some Basic Concepts; 3.3.1 Trace and Determinant of a Matrix
3.3.2 Eigenvalues and Eigenvectors of a Matrix3.4 Graph Matrices; 3.4.1 Adjacency Matrix; 3.4.2 Incidence Matrix; 3.4.3 Degree Matrix and Diffusion Matrix; 3.4.4 Laplace Matrix; 3.4.5 Cut-Set Matrix; 3.4.6 Path Matrix; 3.5 Spectral Graph Theory: Some Basic Results; 3.5.1 Spectral Characterization of Graph Connectivity; 3.5.1.1 Spectral Theory and Walks; 3.5.2 Spectral Characteristics of some Special Graphs and Subgraphs; 3.5.2.1 Tree; 3.5.2.2 Bipartite Graph; 3.5.2.3 Complete Graph; 3.5.2.4 Regular Graph; 3.5.2.5 Line Graph; 3.5.3 Spectral Theory and Graph Colouring
3.5.4 Spectral Theory and Graph Drawing
Record Nr. UNINA-9910815219603321
Weinheim, Germany : , : Wiley-VCH Verlang GmbH & Co. KGaA, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Critical Information Infrastructures Security [[electronic resource] ] : 17th International Conference, CRITIS 2022, Munich, Germany, September 14–16, 2022, Revised Selected Papers / / edited by Bernhard Hämmerli, Udo Helmbrecht, Wolfgang Hommel, Leonhard Kunczik, Stefan Pickl
Critical Information Infrastructures Security [[electronic resource] ] : 17th International Conference, CRITIS 2022, Munich, Germany, September 14–16, 2022, Revised Selected Papers / / edited by Bernhard Hämmerli, Udo Helmbrecht, Wolfgang Hommel, Leonhard Kunczik, Stefan Pickl
Autore Hämmerli Bernhard
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (284 pages)
Disciplina 005.8
Altri autori (Persone) HelmbrechtUdo
HommelWolfgang
KunczikLeonhard
PicklStefan
Collana Lecture Notes in Computer Science
Soggetto topico Data protection
Data and Information Security
ISBN 3-031-35190-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Protection of Cyber-Physical Systems and Industrial Control Systems -- Root Cause Analysis of Software Aging in Critical Information Infrastructure -- Threat-driven Dynamic Security Policies for Cyber-Physical Infrastructures -- High Data Throughput Exfiltration through Video Cable Emanations -- Design and Justification of a Cybersecurity Assessment Framework for IoT-based Environments -- An Empirical Evaluation of 4.0 CNC Machines -- Dataset Report : LID-DS 2021 -- Analytics, Strategic Management -- Strategic Anticipation in Crisis Management through the Lens of Societal Values - The SANCTUM Project -- An Assessment Model for Prioritizing CVEs in CRITIS in the Context of Time and Fault Criticality -- Towards a Layer Model for Digital Sovereignty: A Holistic Approach -- Building Collaborative Cybersecurity for Critical Infrastructure Protection: Empirical Evidence of Collective Intelligence Information-Sharing Dynamics on ThreatFox -- Automatic Concrete Bridge Crack Detection from Strain Measurements: a Preliminary Study -- Mapping and Simulating Cyber-Physical Threats for Critical Infrastructures -- Identifying Residential Areas based on Open Source Data: a Multi Criteria Holistic Indicator to Optimize Resource Allocation During a Pandemic -- Security Awareness and Crisis Management for C(I)IP -- Modeling Hierarchical Structure of Effective Communication Factors in Cyber Incident Response -- Energy Security in the Context of Hybrid Threats: The Case of the European Natural Gas Network -- Cybersecurity in the German Railway Sector -- The Understanding of Vulnerability of Critical Infrastructure -- Is there a Relationship between Cybersecurity Level and Electricity Outages in Norway? -- Emerging Importance of Cybersecurity in Electric Power Sector as a Hub of Interoperable Critical Infrastructure Protection in the Greater Metropolitan Areas in Japan -- A Water Security Plan to Enhance Resilience of Drinking Water Systems.
Record Nr. UNISA-996538667103316
Hämmerli Bernhard  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Critical Information Infrastructures Security : 17th International Conference, CRITIS 2022, Munich, Germany, September 14–16, 2022, Revised Selected Papers / / edited by Bernhard Hämmerli, Udo Helmbrecht, Wolfgang Hommel, Leonhard Kunczik, Stefan Pickl
Critical Information Infrastructures Security : 17th International Conference, CRITIS 2022, Munich, Germany, September 14–16, 2022, Revised Selected Papers / / edited by Bernhard Hämmerli, Udo Helmbrecht, Wolfgang Hommel, Leonhard Kunczik, Stefan Pickl
Autore Hämmerli Bernhard
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (284 pages)
Disciplina 005.8
Altri autori (Persone) HelmbrechtUdo
HommelWolfgang
KunczikLeonhard
PicklStefan
Collana Lecture Notes in Computer Science
Soggetto topico Data protection
Data and Information Security
ISBN 3-031-35190-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Protection of Cyber-Physical Systems and Industrial Control Systems -- Root Cause Analysis of Software Aging in Critical Information Infrastructure -- Threat-driven Dynamic Security Policies for Cyber-Physical Infrastructures -- High Data Throughput Exfiltration through Video Cable Emanations -- Design and Justification of a Cybersecurity Assessment Framework for IoT-based Environments -- An Empirical Evaluation of 4.0 CNC Machines -- Dataset Report : LID-DS 2021 -- Analytics, Strategic Management -- Strategic Anticipation in Crisis Management through the Lens of Societal Values - The SANCTUM Project -- An Assessment Model for Prioritizing CVEs in CRITIS in the Context of Time and Fault Criticality -- Towards a Layer Model for Digital Sovereignty: A Holistic Approach -- Building Collaborative Cybersecurity for Critical Infrastructure Protection: Empirical Evidence of Collective Intelligence Information-Sharing Dynamics on ThreatFox -- Automatic Concrete Bridge Crack Detection from Strain Measurements: a Preliminary Study -- Mapping and Simulating Cyber-Physical Threats for Critical Infrastructures -- Identifying Residential Areas based on Open Source Data: a Multi Criteria Holistic Indicator to Optimize Resource Allocation During a Pandemic -- Security Awareness and Crisis Management for C(I)IP -- Modeling Hierarchical Structure of Effective Communication Factors in Cyber Incident Response -- Energy Security in the Context of Hybrid Threats: The Case of the European Natural Gas Network -- Cybersecurity in the German Railway Sector -- The Understanding of Vulnerability of Critical Infrastructure -- Is there a Relationship between Cybersecurity Level and Electricity Outages in Norway? -- Emerging Importance of Cybersecurity in Electric Power Sector as a Hub of Interoperable Critical Infrastructure Protection in the Greater Metropolitan Areas in Japan -- A Water Security Plan to Enhance Resilience of Drinking Water Systems.
Record Nr. UNINA-9910728949303321
Hämmerli Bernhard  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Graphs and Combinatorial Optimization: from Theory to Applications : CTW 2023, Garmisch-Partenkirchen, Germany, June 20–22 / / edited by Andreas Brieden, Stefan Pickl, Markus Siegle
Graphs and Combinatorial Optimization: from Theory to Applications : CTW 2023, Garmisch-Partenkirchen, Germany, June 20–22 / / edited by Andreas Brieden, Stefan Pickl, Markus Siegle
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (204 pages)
Disciplina 371.33
Collana AIRO Springer Series
Soggetto topico Mathematical optimization
Graph theory
Computer science - Mathematics
Discrete mathematics
Optimization
Graph Theory
Mathematics of Computing
Applications of Discrete Mathematics
ISBN 9783031468261
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto On syntactical graphs-of-words -- k-slow Burning: Complexity and Upper Bounds -- Exact approaches for the Connected Vertex Cover problem -- Handling Sub-symmetry in Integer Programming using Activation Handlers -- Online Facility Location: comparing ad-hoc and MIP-based algorithms -- A Multivariate Complexity Analysis of the Generalized Noah’s Ark Problem -- On the Optimality Gap of Full Airport Slot Assignments: Capacity-limited Packing with Pareto Optimality Constraints -- The algorithmic complexity of the Paired Matching problem -- Edge Contraction and Forbidden Induced Subgraphs -- Rigidity of frameworks on spheres -- Discrepancies of subtrees.-Data-driven feasibility for the Resource Constraint Shortest Path Problem.-Monte-Carlo Integration on a Union of Polytopes -- Managing Time Expanded Networks: The Strong Lift Problem.
Record Nr. UNINA-9910841861403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Human Systems Engineering and Design II : Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, September 16-18, 2019, Universität der Bundeswehr München, Munich, Germany / / edited by Tareq Ahram, Waldemar Karwowski, Stefan Pickl, Redha Taiar
Human Systems Engineering and Design II : Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, September 16-18, 2019, Universität der Bundeswehr München, Munich, Germany / / edited by Tareq Ahram, Waldemar Karwowski, Stefan Pickl, Redha Taiar
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (1,110 pages)
Disciplina 620.82
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Engineering design
User interfaces (Computer systems)
Cognitive psychology
Electrical engineering
Computational Intelligence
Engineering Design
User Interfaces and Human Computer Interaction
Cognitive Psychology
Communications Engineering, Networks
ISBN 3-030-27928-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484691003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modelling and Simulation for Autonomous Systems : 10th International Conference, MESAS 2023, Palermo, Italy, October 17–19, 2023, Revised Selected Papers / / edited by Jan Mazal, Adriano Fagiolini, Petr Vasik, Francesco Pacillo, Agostino Bruzzone, Stefan Pickl, Petr Stodola
Modelling and Simulation for Autonomous Systems : 10th International Conference, MESAS 2023, Palermo, Italy, October 17–19, 2023, Revised Selected Papers / / edited by Jan Mazal, Adriano Fagiolini, Petr Vasik, Francesco Pacillo, Agostino Bruzzone, Stefan Pickl, Petr Stodola
Autore Mazal Jan
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (425 pages)
Disciplina 003.3
Altri autori (Persone) FagioliniAdriano
VasikPetr
PacilloFrancesco
BruzzoneAgostino
PicklStefan
StodolaPetr
Collana Lecture Notes in Computer Science
Soggetto topico Computer simulation
Computer Modelling
ISBN 3-031-71397-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- M&S of Intelligent Systems – R&D and Application. -- Comparison of Frequency Cepstral Coefficients in Impulse Acoustic Events Detection. -- Modelling and Simulation of hypersonic missile in VR-Forces environment. -- Atlas Fusion 2.0 - A ROS2 Based Real-Time Sensor Fusion Framework. -- UAS Flight Path Optimization Model for Effective Monitoring and Surveillance of the Buffer Zone in the UNFICYP Peacekeeping Mission. -- A Model-Based Design Approach for a System of Systems based on an Integrated UAV Platform. -- Practical applicability of tree spacing passability analysis on vehicle path planning. -- Where to go and how to get there: Tactical terrain analysis for military unmanned ground-vehicle mission planning. -- A Survey of Trajectory Planning Algorithms for Off-road Uncrewed Ground Vehicles. -- Multi-physics and Multi-spectral Sensors Simulator for Autonomous Flight Functions Development. -- Future Challenges of Advanced M&S Technology. -- Conceptual Aspects of Counter-UAS Modelling and Simulation. -- Challenges Associated with the Deployment of Autonomous Reconnaissance Systems on Future Battlefields. -- The Key Challenges of SBAD M&S. -- Development of Geoprocessing Tool for Wet Gap Crossing in Military Operations. -- Digital Twin Modeling for Machine Vision Testing in Autonomous Systems. -- A Situation Analysis Process in Computer-Generated Forces Team Behavior within Air Combat Simulations under Risk and Uncertainty: Concept and First Implementations. -- A Tactical Planning Process in Computer-Generated Forces Team Behavior within Air Combat Simulations: Concept and First Implementations. -- Survey on Sensing, Modelling and Reasoning Aspects in Military Autonomous Systems. -- AxS/AI in Context of Future Warfare and Security Environment. -- Camera based AI models used with lidar data for improvement of detected object parameters. -- The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving. -- Hyperspectral Data Dimensionality Reduction: a Comparative Study between PCA and Autoencoder methods. -- Utilizing a CNN for Automatic Detection of Military Reconnaissance and Surveillance Objects in Aerial Images: Concept and Challenges. -- Multimodal Earth Observation Modeling using AI. -- Statistical Evaluation of Simulation Study Data. -- Mission: COMANND. Conceptualizing an AI Assistant for Decision-Making. -- Using Only Synthetic Images to Train a Drogue Detector for Aerial Refueling.
Record Nr. UNINA-9910983487203321
Mazal Jan  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks / / by Dmitrii Lozovanu, Stefan Pickl
Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks / / by Dmitrii Lozovanu, Stefan Pickl
Autore Lozovanu Dmitrii
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (420 p.)
Disciplina 519.233
Collana Advances in Computational Management Science
Soggetto topico Operations research
Decision making
Mathematical optimization
Management science
Algorithms
Operations Research/Decision Theory
Optimization
Operations Research, Management Science
Discrete Optimization
Algorithm Analysis and Problem Complexity
ISBN 3-319-11833-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Discrete stochastic processes, numerical methods for Markov chains and polynomial time algorithms -- Stochastic optimal control problems and Markov decision processes with infinite time horizon -- A game-theoretical approach to Markov decision processes, stochastic positional games and multicriteria control models -- Dynamic programming algorithms for finite horizon control problems and Markov decision processes.
Record Nr. UNINA-9910298511903321
Lozovanu Dmitrii  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui