Computational science -- ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings.: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings. Part III (2020)

• Record Type: Book
• Other Titles: ICCS 2020
• Further Information: Note: Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira (eds.).
• Editors: Krzhizhanovskaya, Valeria V; Závodszky, Gábor; Lees, Michael H; Dongarra, J. J; Sloot, Peter, 1956-; Brissos, Sérgio; Teixeira, João
• Other Names: International Conference on Computational Science, 20th
• Contents: [I]. Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis -- Data assimilation in volcano deformation using fast finite element analysis with high fidelity model -- Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries -- The challenge of onboard SAR processing: a GPU opportunity -- High-resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large Scale Transport Simulations -- Granulation-based reverse image retrieval for microscopic rock images -- Hybrid SWAN for fast and efficient practical wave modelling -- part 2 [II]. Agent-Based Simulations, Adaptive Algorithms and Solvers: An agent-based simulation of the spread of Dengue fever -- Hypergraph grammar-based model of adaptive bitmap compression -- Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton -- Scalable Signal-based Simulation of Autonomous Beings in Complex Environments -- Design of Loss Functions for Solving Inverse Problems using Deep Learning -- Asynchronous Actor-based Approach to Multiobjective Hierarchical Strategy -- MeshingNet: A New Mesh Generation Method based on Deep Learning -- A block preconditioner for scalable large scale finite element incompressible flow simulations -- Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems -- Computational complexity of hierarchically adapted meshes -- A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection [III]. Applications of Computational Methods in Artificial Intelligence and Machine Learning: Link Prediction by Analyzing Temporal Behavior of Vertices -- Detecting Most Insightful Parts of Documents using an Attention-Based Model -- Challenge Collapsar(CC) Attack Traffic Detection based on Packet Field Differentiated Preprocessing and Deep Neural Network -- Deep Low-Density Separation for Semi-Supervised Classification -- Learning functions using data-dependent regularization: Representer theorem revisited -- Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images -- Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-Clustering as a Neighbourhood Identification Strategy -- GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels -- Interval Adjoint Significance Analysis for Neural Networks -- Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network -- An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation -- Interval methods for seeking fixed points of recurrent neural networks -- Fusion Learning: A One Shot Federated Learning -- The concept of system for automated scientific literature reviews generation -- A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings -- Retrain or not retrain ? -- efficient pruning methods of deep CNN networks -- Hidden Markov Models and their Application for Predicting Failure Events [IV]. Biomedical and Bioinformatics Challenges for Computer Science -- Reference-based Haplotype Phasing with FPGAs -- Tree Based Advanced Relative Expression Analysis -- Testing the significance of interactions in genetic studies using interaction information and resampling technique -- Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data -- Biological Network Visualization for Targeted Proteomics based on Mean First-Passage Time in Semi-Lazy Random Walks -- Bootstrap Bias Corrected Cross Validation applied to Super Learning -- MMRF-CoMMpass data integration and analysis for identifying prognostic markers -- Using machine learning in accuracy assessment of knowledge-based energy and frequency base likelihood in protein structures -- Quantifying Overfitting Potential in Drug Binding Datasets -- Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning -- Statistical iterative reconstruction algorithm based on a continuous-tocontinuous model formulated for spiral cone-beam CT -- Classification of lung diseases using deep learning models -- An Adaptive Space-Filling Curve Trajectory for Mapping 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (xix, 648 pages), illustrations
• Subjects: 004; Computer science -- Congresses; Computational complexity -- Congresses; Artificial intelligence; Computer organization; Computer science -- Mathematics; Computers; Optical data processing
• Languages: English
• ISBNs: 9783030504205; 3030504204
• Related ISBNs: 9783030504199
• Notes: Note: Includes bibliographical references and author index.; Note: Description based on online resource (SpringerLink, viewed August 12, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.