Computational Data and Social Networks: 9th International Conference, Csonet 2020, Dallas, Tx, Usa, December 11-13, 2020, Proceedings, Chellappan Sriram, Choo Kim-Kwang Raymond, Phan Nhathai
Описание: This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.*The 70 full papers presented were carefully reviewed and selected from 314 submissions. computational collective intelligence and natural language processing;
Описание: 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 in Hierarchical 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 Who's 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 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 Volunteer's 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 Efficien
Описание: This book constitutes the proceedings of the 24th Annual Conference on Research in Computational Molecular Biology, RECOMB 2020, held in Padua, Italy, in May 2020. The papers report on original research in all areas of computational molecular biology and bioinformatics.
Описание: This book gathers outstanding research papers presented at the International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), organized by Daffodil International University (DIU) and Jahangirnagar University (JU) in Bangladesh and South Asian University (SAU) in India.
Описание: This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020.The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. minority language information processing;
ICCS Main Track.- Modified binary tree in the fast PIES for 2D problems with complex shapes.- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study.- An effective stable numerical method for integrating highly oscillating functions with a linear phase.- Fitting Penalized Logistic Regression Models using QR Factorization.- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method.- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique.- Data-driven partial differential equations discovery approach for the noised multi-dimensional data.- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks.- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity.- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data.- Loop Aggregation for Approximate Scientific Computing.- Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass.- Bezier surfaces for modeling inclusions in PIES.- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study.- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem.- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River.- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations.- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs.- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem.- Epigenetic modification of genetic algorithm.- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification.- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks.- SciNER: Extracting Named Entities From Scientific Literature.- GPU-embedding of kNN-graph representing large and high-dimensional data.- Evolving Long Short-Term Memory Networks.- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features.- Data fitting by exponential sums with equal weights.- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape.- Improving accuracy and speeding up Document Image Classification through parallel systems.- Computation of the airborne contaminant transport in urban area by the artificial neural network.- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs.- Modeling of Anti-tracking Network based on Convex-polytope Topology.- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations.- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources.- Malicious Domain Detection Based on K-means and SMOTE.- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management.- Hashing Based Prediction for Large-Scale Kernel Machine.- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy.- Are n-gram Categories Helpful in Text Classification?.- Calculating Reactive Power Compensation for Large-scale Street Lighting.- Developing a Decision Support App for Computational Agriculture.- Optimal Location of Sensors for Early Detection of Tsunami Waves.- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression.- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling.- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society.- Joint Entity Linking for Web Tables with Hybrid Semantic Matching.- A new coefficient of rankings simil
Data Driven Computational Sciences.- A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.- Early adaptive evaluation scheme for data-driven calibration in forest fire spread prediction.- Strategic Use of Data Assimilation for Dynamic Data-driven Simulation.- PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation.- Cyber Attribution from Topological Patterns.- Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model.- Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms.- Normal Grouping Density Separation (NGDS): a novel object-driven indoor point cloud partition method.- Machine Learning and Data Assimilation for Dynamical Systems.- Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach.- Learning ergodic averages in chaotic systems.- Supermodeling: the next level of abstraction in the use of data assimilation.- A new multilayer network construction via Tensor learning.- Neural Assimilation.- A Machine Learning Method for Computing Rare Event Probabilities.- Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network.- Accelerated Gaussian Convolution in a Data Assimilation scenario.- Complementary Role of Data Assimilation and Machine Learning for a Truly Optimal Estimation System: An Example Derived from Air Quality Analysis.- Recursive Updates of Wildfire Perimeters using Barrier Points and Ensemble Kalman Filtering.- Meshfree Methods in Computational Sciences.- Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data.- High accuracy terrain reconstruction from point clouds using implicit deformable model.- Solving non-linear elasticity problems by a WLS high order continuation.- Advanced Radial Basis Functions mesh morphing for high fidelity Fluid-Structure Interaction with known movement of the walls: simulation of an aortic valve.- Radial Basis Functions Mesh Morphing - A comparison between the bi-harmonic spline and the Wendland C2 radial function.- Radial Basis Function Approximation Optimal Shape Parameters Estimation: Preliminary Experimental Results.- Multiscale Modelling and Simulation.- Projective Integration for Moment Models of the BGK Equation.- Open Boundary Modeling in Molecular Dynamics with Machine Learning.- Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli.- Formation of morphogenetic patterns in cellular automata.- Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling.- Development and application of the Statistically Similar Representative Volume Element for numerical modelling of multiphase materials.- A heterogeneous multi-scale model for blood flow.- Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources.- Easing multiscale model design and coupling with MUSCLE 3.- Quantum Computing Workshop.- Simulations of Quantum Finite Automata.- LibKet: A cross-platform programming framework for quantumaccelerated scientific computing.- Generalized Quantum Deutsch-Jozsa Algorithm.- Revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching.- A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.- Hybrid quantum annealing heuristic method for solving Job Shop Scheduling Problem.- Foundations for Workflow Application Scheduling on D-Wave System.- A Hybrid Solution Method for the Multi-Service Location Set Covering Problem.- New hybrid quantum annealing algorithms for solving Vehicle Routing Problem.- Multi-agent reinforcement learning using simulated quantum annealing.- Quantum Hopfield neural networks: A new approach and its storage Capacity.- A Variational algorithm for Quantum Neural Networks
Описание: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020.
Описание: It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.
Описание: This book constitutes the refereed post-conference proceedings of the 11th International Conference on Broadband Communications, Networks, and Systems, Broadnets 2020, which took place in Qingdao, China, in December 2020.
Описание: Decision support model for assessing projects by a group of investors with regards of multi-factors.- 9-Dimensions Optimization Task: PBO-Nature-Inspired Optimizer versus 10-years-old Differential Evolution Based Optimizer 3rd Generation EPSDE.- Energy consumption reduction in real time multiprocessor embedded systems with uncertain data.- Developing an Efficient Method for Automatic Threshold Detection based on Hybrid Feature Selection Approach.- Comparison of Hybrid ACO-k-means algorithm and Graph cut for MRI images segmentation.- Parallel deep neural network for motor imagery EEG recognition with spatiotemporal features.- Using of Simple Genetic Algorithm for A Hand Contour Classification.- Bio-inspired Collaborative and Content Filtering Method for Online Recommendation Assistant Systems.- COMPUTER-BASED SUPPORT FOR SEARCHING RATIONAL STRATEGIES FOR INVESTORS IN CASE OF INSUFFICIENT INFORMATION ON THE CONDITION OF THE COUNTERPARTY.
Описание: This volume constitutes the proceedings of the 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020, held in Dallas, TX, USA, in December 2020. The 55 full papers presented in this volume were carefully reviewed and selected from 104 submissions. Search, Facility and Graphs; and Graph Problems.
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