Computational Science and Its Applications - ICCSA 2019

Name: Computational Science and Its Applications - ICCSA 2019 | 19th International Conference, Saint Petersburg, Russia, July 1-4, 2019, Proceedings, Part II
Brand: Springer
Price: 96.29 EUR
Availability: OnlineOnly

19th International Conference, Saint Petersburg, Russia, July 1-4, 2019, Proceedings, Part II

Sanjay Misra Osvaldo Gervasi Beniamino Murgante Elena Stankova Vladimir Korkhov Carmelo Torre Ana Maria A.C. Rocha David Taniar Bernady O. Apduhan Eufemia Tarantino(Editor)

Springer (Publisher)

Published on 29. June 2019

XXX, 786 pages

E-Book

PDF with digital watermarking

System requirements

978-3-030-24296-1 (ISBN)

€96.29incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Intro
Preface
Welcome to St. Petersburg
Organization
Contents - Part II
Short Papers
Expert System for Urban Multimodal Mobility Estimation Based on Information from Public Mobile Network
Abstract
1 Introduction
2 PMN Generated Data in Urban Mobility Research
3 Spatial Decomposition
4 Multimodal Mobility Indicators and Calculation Methodology
5 Design of ANFIS Based Expert System
6 Conclusion
References
Asymtotic Distribution of the Bootstrap Parameter Estimator for the AR(p) Model
1 Introduction
2 Estimator of Mean and Autocovariance for the Autoregressive Model
3 Bootstrap and Delta Method
4 Main Result
5 Conclusions
References
Weighted Coefficients to Measure Agreement Among Several Sets of Ranks Emphasizing Top and Bottom Ranks at the Same Time
1 Introduction
2 Weighted Coefficients to Measure the Concordance Among Several Sets of Ranks Putting Emphasis on the Extremes Ranks
3 Distribution of the Generalized Weighted Agreement Coefficients
4 Example
5 Future Work
References
Metrics to Rank Illegal Buildings
1 Introduction
2 Materials and Methods
2.1 Relevance of the Problem
2.2 Notations
2.3 Metrics
2.4 A GIS Technological Setting for the Implementation of the Proposal
3 Discussion and Future Work
References
Fog Based IIoT Architecture Based on Big Data Analytics for 5G-networked Smart Factory
1 Introduction
2 Related Work
3 Industrial IoT Platform for Smart Factory
3.1 Design Requirements
3.2 Components of Industrial IoT Platform
4 Open Challenges for 5G Smart Factory
5 Conclusion
References
Design and Analysis of OpenStack Cloud Smart Factory Platform for Manufacturing Big Data Applications
1 Introduction
2 Related Work
3 OpenStack Cloud Smart Factory Platform Design Study
4 Designed Big Data Application Cloud TEST BED and ANALYSIS
5 Conclusion
References
Towards a Resident Static Analysis
1 Introduction
2 Related Work
3 Proposed Method
4 Operating Modes
4.1 Workspace Creation
4.2 Controlled Compilation
4.3 Data Fetching
4.4 Preliminary Analysis
4.5 Analysis on Demand
5 Evaluation
6 Discussion
7 Conclusion
References
Distributed Shortest Paths on Power Law Networks in the Generalized Linear Preference Model: An Experimental Study
1 Introduction
2 Background
3 Distributed Computation Pruning
4 Generalized Linear Preference Model
5 Evaluation of DCP on GLP Networks
6 Conclusions
References
Financial Feasibility Assessment of Public Property Assets Valorization: A Case Study in Rome (Italy)
Abstract
1 Introduction
2 Aim
3 Case Study
3.1 Current Use
3.2 Description of the Enhancement Initiative
3.3 The Subjects Involved in the Enhancement Initiative
3.4 Financial Feasibility Assessment of the Initiative for the Private Investor (Main Subject)
3.5 Costs
3.6 Investment Costs
3.7 Operating Costs
3.8 Revenues
3.9 Development of the DCFA
4 Conclusions
References
Modeling an Optimal Control Problem for the Navigation of Mobile Robots in an Ocduded Environment Application to Unmanned Aerial Vehicles
1 Introduction
2 Definition of General Problem of Navigation
3 Application to the Case of Two Quad-Rotor Drones
4 Results Simulation
5 Conclusion
References
Advanced Transport Tools and Methods (A2TM 2019)
The Effectiveness of Strategies to Reduce External Costs from Commuting in Central Europe
Abstract
1 Introduction
2 Commuting External Costs
3 External Cost Reductions Strategies: A Literature Review
4 The Effectiveness of Smart Commuting Project's Externality Reduction Strategies
5 Conclusion
Acknowledgement
References
Effects of Rolling Stock Unavailability on the Implementation of Energy-Saving Policies: A Metro System Application
1 Introduction
2 Rolling Stock Unavailability Analysis
3 Application to a Real Metro Line
4 Conclusions and Research Prospects
References
Latent Classes Exploring the Sense of Passengers Well-Being in the Terminal: Evidence from a Peripheral Airport
Abstract
1 Introduction
2 Methodology
3 Case Study
3.1 Airport Characteristics
3.2 Sample Data
3.3 Air Passengers' Evaluation
4 Latent Class Memberships
4.1 Basic Latent Class Modeling
4.2 Exploring Latent Class Memberships with Covariates
5 Discussion of the Results
6 Conclusion
References
Some Features of Formatting the Arrival Time Distribution
1 Introduction
2 Literature Review
3 Stochastic Model of Arrival Deviation Formation
4 An Example of the Joint Influence of Random Factors on the Arrival Deviation Distribution
5 Validation of the Model by Using Statistical Data
6 Conclusions and Future Research
References
Basic Framework for Adjusting the Freight Train Schedule
Abstract
1 Introduction
2 Literature Review
3 Criteria for Determining the Operational Decisions
4 Group and Sighting Adjustments of Train Traffic
5 Methodology of Analysis Fulfilled Traffic Schedule
6 Regularities of Forming the Schedule Features When Random Disturbances Occur
7 The Grounding of Train Schedules Adjustments
8 Conclusions
References
SaveMyBike - A Complete Platform to Promote Sustainable Mobility
Abstract
1 The Actual State of Art
1.1 Urban Transport Planning Needs
1.2 Mobility Rewarding System
1.3 Bike Antitheft and Recovery System
2 The SaveMyBike Platform
2.1 The Bike-Side Platform
2.2 The Rewarding-Side Platform GOOD_GO
3 The Prototypical Application Results
4 Conclusions and Future Developments
References
Big Data and Policy Making: Between Real Time Management and the Experimental Dimension of Policies
Abstract
1 Introduction
2 Urban Decisions and the Multiplicity of Big Data
2.1 Big Data and Its Different Sources
2.2 Big Data and Actors' Expertise
2.3 Big Data and Their Role in Mobility Policy Making
3 Data Relevance at the Intersection Between Data Production Systems and Policy Making
3.1 Data for Short- and Long-Term Decisions and Reasoning
3.2 Opportunities for an Experimental Approach to Policy Design
4 The Experimental Dimension at Work in the Polivisu Pilots
4.1 Ghent
4.2 Issy-les-Molinaux
4.3 Pilsen
5 Discussion and Conclusions
Acknowledgments
References
Detection of Points of Interest from Crowdsourced Tourism Data
1 Introduction
2 Data and Methods
2.1 Data Properties
2.2 Data Structure
2.3 Data Exploration
2.4 Methods
3 Qualitative Data Considerations
3.1 Data Issues
4 Problem Statement
5 Results
5.1 Global Results
5.2 Individual Analysis
5.3 Places
5.4 Discussion
6 Conclusion
References
Cycling for Home-to-School Travel in Palermo: A Method for Assessing the Optimal Allocation of New Cycling Infrastructure
Abstract
1 Introduction
2 Background
3 The Bike-Sharing Service in Palermo
4 Cycling in Italy and in Palermo
5 The Italian Legislation About Cycling Infrastructure and the Cycle Network in Palermo
6 The Methodology
6.1 Calibration of the Demand Model
6.2 The Optimization Process
7 Conclusion
References
A Land Use and Transport Interaction Model for the Greater Florence Metropolitan Area
Abstract
1 Introduction
2 The Land Use and Transport Interaction Models
3 The Choice of the LUTI Model
4 The Study Area and the Urbanistic Forecasts
4.1 The Collection of Project Forecasts
4.2 The Multimodal Transport Model
4.3 The Land Use Model
5 Results and Future Researches
References
Advanced Computational Approaches in FracTals, WaveleT, EnTropy and DaTa mining applications (AAFTWTETDT 2019)
Computational Methods for OCT Images Analyze Provided Within Diabetic Retinopathy
Abstract
1 Introduction
2 Methods
3 Results and Discussions
4 Conclusions
Acknowledgements
References
Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification
1 Introduction
2 Data and Methods
2.1 Patient Details
2.2 Methods
3 Experimental Results and Discussion
3.1 The Application of the K-Means Algorithm
3.2 The Results of the K-Means Algorithm
4 Conclusion
References
A Comparison of Two Hölder Regularity Functions to Forecast Stock Indices by ANN Algorithms
1 Introduction
2 Materials and Methods
2.1 Material
2.2 Methods
3 Experimental Results and Discussion
3.1 Application of the FFBP and CFBP to the P_Finance Dataset
3.2 Accuracy Rates Obtained from the FFBP and CFBP Algorithm Classification of E_Finance Dataset
3.3 Accuracy Rates Obtained from the FFBP and CFBP Algorithm Classification of p_finance Dataset and e_Finance Dataset
4 Conclusion
References
Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2019)
Hahai: Computational Thinking in Primary Schools
1 Introduction
2 Global Society and Technology
2.1 Life Skills
2.2 Computational Thinking
2.3 Solution: Hahai Project
3 The Hahai Project and Development
3.1 Requirements Analysis
3.2 Wireframe and Graphic Design
4 Testing Phase
4.1 Official Testing in First-Grade Classes
4.2 Final Report
5 Conclusions and Future Developments
5.1 Conclusions
5.2 Future Developments
5.3 Technology as a Tool for Training
References
An Image-Based Encoding to Record and Track Immersive VR Sessions
1 Introduction
2 Related Work
3 Encoding Model
3.1 Session Volumes
3.2 Image-Based Encoding and Layout
3.3 Saliency
4 Architecture Overview
5 Results
6 Conclusions and Future Developments
References
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation
Abstract
1 Introduction
2 The Learning Environment and Stopping Rules
3 Analysis of the Performance of the Stopping Rules
4 Learning Cost Evaluation and Experimentation
5 Summary and Conclusion
References
Impact of Time Granularity on Histories Binary Correlation Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Student Histories
3.2 Histories Pairwise Similarity
3.3 Cluster Detection
4 Experiments
4.1 Dataset
4.2 Ground Truth
4.3 Granularity
4.4 Evaluation Criteria
5 Experiment Results Discussion
6 Conclusions and Future Works
References
Sharing Linkable Learning Objects with the Use of Metadata and a Taxonomy Assistant for Categorization
Abstract
1 Introduction
2 The G-LOREP-MOODLE Connections
2.1 Design and Environment Setting
2.2 Setting the Drupal Web-Service
2.3 G-LOREP Moodledata Download and Storage
2.4 Moodledata Upload in Moodle
3 G-LOREP Taxonomy Metadata
3.1 Metadata Storage in G-LOREP Through the Drupal API Field
3.2 The G-LOREP Taxonomy Assistant
3.3 Synonym Inherence as an Effectiveness Index
3.4 Inherence of Categories
4 Searching LO with a Semantics-Based AI
5 Conclusions and Future Work
Acknowledgments
References
Affective Computing and Emotion Recognition (ACER-EMORE 2019)
Affective Computing for Enhancing Affective Touch-Based Communication Through Extended Reality
Abstract
1 Background
2 Affective Computing Systems
2.1 Affective Computing in Social Media
2.2 Affective Touch
3 Extended Reality Systems with Affective Computing
3.1 Augmented Reality with Affective Computing and Affective Touch
3.2 Virtual Reality with Affective Computing and Affective Touch
4 Future Directions for Affective Touch-Based Communication
5 Conclusions
Acknowledgments
References
Humble Voices in Political Communication: A Speech Analysis Across Two Cultures
Abstract
1 Introduction
2 The Humble Stance
3 Charisma and Its Multimodal Communication
4 The Multimodal Communication of Humble Leadership
5 The Voice of Humble Politicians Across Two Cultures
5.1 Comparing American and Italian Dominant and Humble Leaders
5.2 Method: Speech Material and Analysis
5.3 Results
5.3.1 STANCE: Humble vs Dominant Politicians
5.3.2 COUNTRY: Italy vs USA
5.4 Discussion and Conclusion
References
Computer-Generated Speaker Charisma and Its Effects on Human Actions in a Car-Navigation System Experiment - or How Steve Jobs' Tone of Voice Can Take You Anywhere
Abstract
1 Introduction
1.1 The Importance of Charismatic Speech
1.2 Phonetic Exponents of Perceived Speaker Charisma
1.3 Using Machines for Understanding Perceived Speaker Charisma
1.4 The Goal of This Study
2 Method
2.1 Participants of the Test Drive
2.2 Map and Route of the Test Drive
2.3 Stimuli: Design and Synthesis of Navigation Prompts
2.4 Stimuli: Creation of Tone-of-Voice Conditions SJ and MZ
2.5 Car
2.6 Procedure of the Test Drive
3 Results
4 Discussion
References
Emotion Recognition for Self-aid in Addiction Treatment, Psychotherapy, and Nonviolent Communication
Abstract
1 Introduction
2 An Architecture for Emotion Recognition for Self-aid
3 Self-aid Using ER for Three Real-Life Problems
4 Addiction Treatment
5 Circle of Security (COS)
6 Non-violent Communication (NVC)
7 Text ER Using the Semantic Emotions Model (SEMO)
8 Face ER Using Convolutional Neural Networks (CNN)
9 Conclusions
Acknowledgments
References
Advances in information Systems and Technologies for Emergency management, risk assessment and mitigation based on the Resilience concepts (ASTER 2019)
Risk Analysis: A Focus on Urban Exposure Estimation
Abstract
1 Introduction
2 Exposure
2.1 Urban Exposure at Global Scale
2.2 Urban Exposure at Local Scale
3 Application of the Urban Exposure Function
3.1 Case A
3.2 Case B
4 Discussion
5 Conclusion
References
SAFE (Safety for Families in Emergency)
Abstract
1 Introduction
2 Civil Protection 2.0
3 Integrating Social Activism and Certified Procedures
3.1 The User Family
3.2 The Geometaphor Neighborhood
3.3 Dynamically Quantifying Risk Parameters
4 Acting in SAFE
5 Final Remarks
Acknowledgments
References
Blockchain and Distributed Ledgers: Technologies and Application (BDLTA 2019)
Automatic Synthesis of Multilevel Automata Models of Biological Objects
Abstract
1 Introduction
2 Problem Description
3 Features of MRFA and Synthesis Efficiency Criteria
4 Synthesis Method
4.1 Algorithm of Inductive Multilevel Synthesis
4.2 Algorithm of Deductive Multilevel Synthesis
5 Technology of Multilevel Synthesis for Biological Systems
6 Simulation Results for Biological Systems
7 Conclusion
References
Using Mathematical Models to Describe the Dynamics of the Spread of Traditional and Cryptocurrency Payment Systems
Abstract
1 Introduction
2 Methodology
3 C2B Payment Systems
4 P2P Payment Systems
5 Application to Real-Life Cases
5.1 WebMoney
6 Summary
References
Self-Sovereign Identity for IoT Devices
1 Introduction
2 Overview of SSI Infrastructures
2.1 Authentication Protocol with DIDs
3 Anonymization Functionality
4 Decentralized Identity Usages in Application Development
5 Digital Identity in Logistic Chains
6 Existing Solutions and Differences
6.1 Source
6.2 Protocol
6.3 Standards
6.4 Our View
7 Conclusion
References
Error Detection in the Decentralized Voting Protocol
1 Introduction
2 Algebraic Preliminaries: Polynomial Interpolation
3 Decentralized Voting Protocol
4 Error Detection in the Data Set
5 Administrators' Faulty Shares
6 Voters' Dishonest Shares
7 Computational Remarks
8 Conclusion
References
Cryptography in Blockchain
1 Introduction
1.1 Importance of Cryptography
1.2 Importance of Choice
1.3 Basics of Blockchain
1.4 Hashes and Keys
2 Usage in Blockchain Platforms
2.1 Ethereum
2.2 Hyperledger Fabric
2.3 R3 Corda
2.4 Ripple
2.5 Quorum
3 Cryptanalysis
3.1 Hash Functions
3.2 Public-Key Algorithms
3.3 Ciphers
3.4 Cryptosystems
4 Conclusion
References
Implementation of an E-Voting Scheme Using Hyperledger Fabric Permissioned Blockchain
1 Introduction
2 Related Work
3 Used Technologies
4 Approach and System Architecture
4.1 Network Configuration
4.2 Voting Configuration
4.3 User Registration
4.4 Voting
4.5 Result Counting
4.6 Inspectors
5 Security Analysis
6 Conclusion
References
Evaluation of Tools for Analyzing Smart Contracts in Distributed Ledger Technologies
1 Introduction
2 Related Work
3 Problem Classification
3.1 More Detailed Description of the Problems
4 Tools
4.1 Comparing Tools
5 Conclusion and Future Work
References
Architecture of a Smart Container Using Blockchain Technology
1 Introduction
2 Current Situation
3 Hardware
4 Software
4.1 Container Software
4.2 Iroha Network
5 Conclusion
References
Methods of Formal Software Verification in the Context of Distributed Systems
1 Introduction
2 Formal Verification Tools
2.1 Isabelle/HOL
2.2 Coq
2.3 Verdi
2.4 TLA+
3 Summary
4 Conclusion
References
Analytical Comparison of DLT Platforms Activity
1 Introduction
2 Criteria and Rating Scale
3 Automated Information Collection System
4 Visualization
4.1 Kibana Visualize and Dashboard
4.2 Kibana Graph
5 Summary and Future Work
6 Conclusion
References
Electronic Expertise Using Distributed Ledger Technology
1 Introduction
2 Motivation
3 Related Work
4 Architecture
4.1 First Block
4.2 Second Block
4.3 Third Block
4.4 Fourth Block
4.5 Task Transfer
4.6 Solved Task Distribution
4.7 Aggregation of Marks
5 Implementation
5.1 Project Structure
6 Benchmark
7 Conclusion
References
Secret Voting: Knowledge vs Trust
Abstract
1 Introduction
2 The Basic Postulate of Mistrust
3 Conventional System of Secret Voting
4 Voting Using "Black Boxes"
5 Estonian Internet Voting System
6 Requirement of Openness
7 Conditions for the Acceptability of the Voting System
8 Certification, Attestation, Audit and All That
9 Conclusions
References
Simulation of Distributed Applications Based on Containerization Technology
1 Introduction
2 Related Works
3 Approach
4 Results
4.1 Simulation
4.2 Monitoring
5 Analysis
6 Conclusions
References
Blockchain as a Platform for Fog Computing
1 Introduction
2 Architecture
3 System Components
4 Implementation
5 Corda Performance Evaluation
6 Conclusion
References
Blockchain Network Threats: The Case of PoW and Ethereum
1 Introduction
2 Why Ethereum
3 Simulation of Ethereum Network
4 Possible Attack
5 Analysis
6 Conclusions
References
Distributed Ledger Technology and Cyber-Physical Systems. Multi-agent Systems. Concepts and Trends
Abstract
1 Introduction
2 Hierarchical Control
2.1 Objective Function
2.2 Hypergraph Systems Modeling
2.3 Directed Acyclic Graph (DAG)
3 Optimization
4 Smart Systems
4.1 Energy
4.2 Robotics
4.3 Virtual Power Plants (VPP). Definition
5 Algorithmic, Management and Technological Limitations
6 Conclusion
References
Deep Learning Approach for Prognoses of Long-Term Options Behavior
Abstract
1 Introduction
2 Data Preparation
3 Data Normalization
4 Building the Model
5 Experiments
6 Conclusion
References
Bio and Neuro inspired Computing and Applications (BIONCA 2019)
Using Neural Networks and Hough Transform for Leukocytes Differentiation in Blood Count Images
1 Introduction
2 Related Work
3 Blood Cells
4 Methodology
4.1 Preprocessing
4.2 Characteristics Extraction
4.3 Differentiation Artificial Neural Network
5 Results
6 Conclusion
References
Efficient Application Mapping onto Three-Dimensional Network-on-Chips Using Multi-Objective Particle Swarm Optimization
1 Introduction
2 Related Work
3 Application and IP Repository Models
4 IP Assignment and Mapping
5 IP Mapping with Multi-objective Particle Swarm Algorithm
6 Objective Functions
6.1 Area
6.2 Power Consumption
6.3 Execution Time
7 Performance Results
8 Conclusions
References
Evolutionary Design of Approximate Sequential Circuits at RTL Using Particle Swarm Optimization
1 Introduction
2 Related Work
3 Multi-objective Particle Swarm Optimization
4 Proposed Approach
4.1 Circuit Representation
4.2 Objectives
4.3 Search Methodology
5 Experiments and Results
6 Conclusion
References
Machine Learning Models for Depression Patient Classification Using fMRI: A Study
Abstract
1 Introduction
2 Literature Survey
2.1 Model Based
2.2 Data Driven
3 Performance Parameters
4 Conclusion
References
Computer Aided Modeling, Simulation, and Analysis (CAMSA 2018)
Detection of Faults in an Osmotic Dehydration Process Through State Estimation and Interval Analysis
Abstract
1 Introduction
2 Theoretical Framework
2.1 Problem Statement
2.2 Studied Process (Osmotic Dehydration of Pineapple)
3 Methodology
3.1 Interval Analysis Fundamentals
3.2 Inversion Set
3.3 State Estimation
3.4 Prediction and Correction
3.5 Extended Mean Value (EMV)
3.6 Envelope-Based Fault Detection and Diagnosis Algorithm
4 Results and Analysis
5 Conclusions
References
Security-State Estimation of Electrical Power Systems: A Methodological Proposal
Abstract
1 Introduction
2 Machine Learning in Power System Security-State Estimation
3 Machine Learning in Power System Security-State Estimation
3.1 Measurements
3.2 Indices Calculation
3.3 Security State Assignment
3.4 Model Building
4 Methodology Implementation
5 Simulations and Results
5.1 Conclusions
References
Robust Control of an Evaporator Through Algebraic Riccati Equations and D-K Iteration
Abstract
1 Introduction
2 Considered Evaporation Process
2.1 Modeling Considerations
2.2 Model Equations
3 Control System Design
3.1 Model Equations
3.2 Controllers
4 Results and Analysis
4.1 Results of the Nominal Closed Loop Simulation
4.2 Results of Simulation Considering Perturbations in Inputs
4.3 Results of the Simulation Considering Uncertainties in the Parameters of the System
5 Conclusion
References
On the Feasibility of Probabilistic Model Checking to Analyze Battery Sustained Power Supply Systems
1 Introduction
2 Probabilistic Model Checking
3 Power Supply Systems
3.1 Solar Power System
3.2 Batteries of Artificial Satellites
4 Modeling and Properties Formalization
4.1 Solar Power System Modeling and Properties Formalization
4.2 Batteries of Artificial Satellites Modeling and Properties Formalization
5 Results Evaluation
5.1 Solar Power System Results
5.2 Batteries of Artificial Satellites Results
6 Discussion of Related Work
7 Conclusions
References
A Telemedicine System Using Petri Nets
Abstract
1 Introduction
2 Definitions
2.1 Service Oriented Architecture (SOA)
2.2 Petri Net
3 General Architecture Proposal
4 Model in Colored Petri Nets
5 Conclusion
References
Particle Charging Using Ultra-Short Pulse Laser in the Ideal Maxwellian Cold Plasma for Cancer Treatment Based on Hadron Therapy
Abstract
1 Introduction
1.1 Motivation
2 Contribution
2.1 Charged Particle Specifications in Applied Fields
2.2 Ultra-Short Pulse Laser Propagation in the Plasma Channel
2.3 Maxwell-Boltzmann Distribution
2.4 Cold Plasma
2.5 Plasma Particle Phenomena
3 Hadron Therapy Procedure Based on Charged Particles
3.1 Definition
3.2 Hadron Therapy Methods
4 Simulations and Experimental Results
4.1 Particles in the Plasma Channel with Electromagnetic Field
4.2 Ideal Maxwellian Energy Distribution for Charged Particles
5 Conclusion and Prospective Works
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Computational Science and Its Applications - ICCSA 2019

Description

More details

Other editions

Additional editions

Content

System requirements