Muutke küpsiste eelistusi

E-raamat: Computational Science - ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part I

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 55,56 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Computational Science - ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part ISuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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 ComputationalScience; UNcErtainty QUantIficatiOn for ComputationAl modeLs

*The conference was canceled due to the COVID-19 pandemic.
ICCS Main Track.- An efficient new static scheduling heuristic for
accelerated architectures.- Multilevel Parallel Computations for Solving
Multistage Multicriteria Optimization Problems.- Enabling Hardware Affinity
in JVM-based Applications: A Case Study for Big Data.- An optimizing
multi-platform source-to-source compiler framework for the NEURON MODeling
Language.- Parallel numerical solution of a 2D Chemotaxis-Stokes system on
GPUs technology.- Automatic management of cloud applications with use of
Proximal Policy Optimization.- Utilizing GPU Performance Counters to
Characterize GPU Kernels via Machine Learning.- A massively parallel
algorithm for the three-dimensional Navier-Stokes-Boussinesq simulations of
the atmospheric phenomena.- Reconstruction of Low Energy Neutrino Events with
GPUs at IceCube.- Cache-Aware Matrix Polynomials.- QEScalor: Quantitative
Elastic Scaling Framework in Distributed Streaming Processing.- From
Conditional Independence to Parallel Execution inHierarchical Models.-
Improving performance of the Hypre iterative solver for Uintah combustion
codes on manycore architectures using MPI Endpoints and Kernel
Consolidation.- Analysis of Checkpoint I/O behavior.- Enabling EASEY
deployment of containerized applications for future HPC systems.-
Reproducibility of computational experiments on Kubernetes-managed container
clouds with HyperFlow.- GPU-accelerated RDP Algorithm for Data Segmentation.-
Sparse Matrix-Based HPC Tomography.- heFFTe: Highly Efficient FFT for
Exascale.- Scalable Workflow-Driven Hydrologic Analysis in HydroFrame.-
Patient-specific cardiac parametrization from Eikonal simulations.- An
Empirical Analysis of Predictors for Workload Estimation in Healthcare.- How
You Say Or What You Say? Neural Activity in Message Credibility Evaluation.-
Look Whos Talking: Modeling Decision Making Based on Source Credibility.- An
Adaptive Network Model for Burnout and Dreaming.- Computational Analysis of
the Adaptive 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 eects of household-based clustering of susceptibility to measles in
the next 20 years.- Modelling the eects 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 Dierent 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 EmergencyEvacuations 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 Eective 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
Efficient Trace-Prediction of Disease Outbreaks in Contact Networks.-
Eigen-AD: Algorithmic Dierentiation of the Eigen Library.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97830305037106e.html
Märksõnad: