Computational Science -- ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings. Part I / Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 12137. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Cham : Springer, 2020Description: 1 online resource (xix, 707 pages) : illustrations (some color)Content type: - text
- computer
- online resource
- 9783030503710
- 3030503712
- ICCS 2020
- Computer science -- Congresses
- Computational complexity -- Congresses
- Informatique -- Congrès
- Complexité de calcul (Informatique) -- Congrès
- Computer networking & communications
- Mathematical theory of computation
- Artificial intelligence
- Computer architecture & logic design
- Computer science
- Computers -- Networking -- General
- Computers -- Data Processing
- Computers -- Intelligence (AI) & Semantics
- Computers -- Logic Design
- Computers -- Computer Science
- Computational complexity
- Computer science
- 004.0151
- QA75.5 .I23 2020eb
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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eBook
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e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
Efficient Trace-Prediction of Disease Outbreaks in Contact Networks -- Eigen-AD: Algorithmic Differentiation of the Eigen Library ive Causal Relationships between Cannabis, Anxiety and Sleep -- Detecting Critical Transitions in the Human Innate Immune System Post-Cardiac Surgery -- Using individual-based models to look beyond the horizon: the changing effects of household-based clustering of susceptibility to measles in the next 20 years -- Modelling the effects of antibiotics on gut flora using a nonlinear compartment model with uncertain parameters -- Stochastic volatility and early warning indicator -- Boost and Burst: Bubbles in the Bitcoin Market -- Estimation of tipping points for critical and transitional regimes in the evolution of complex interbank network -- Modeling of Fire Spread including Different Heat Transfer Mechanisms using Cellular Automata -- Narrow passage problem solution for motion planning -- Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles -- Using Cellular Automata to Model High Density Pedestrian Dynamics -- Autonomous Vehicles as Local Traffic Optimizers -- Modeling Helping Behavior in Emergency Evacuations using Volunteers Dilemma Game -- Learning Mixed Traffic Signatures in Shared Networks -- A Novel Metric to Evaluate In Situ Workflows -- Social Recommendation in Dynamic Evolving Relation Network -- DDNE: Discriminative Distance Metric Learning for Network Embedding -- Extracting Backbone Structure of a Road Network from Raw Data -- Look Deep into the New Deep Network: A Measurement Study on the ZeroNet -- Identifying influential spreaders on a weighted network using HookeRank method -- Community aware models of meme spreading in micro-blog social networks -- Dynamic Vote-Rank Based Approach for Effective Sequential Initialization of Information Spreading Processes within Complex Networks -- On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks -- Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations -- A Probabilistic Infection Model for.
The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis- )Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.