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: 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: 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 book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020.The 49 papers included in this book were carefully reviewed and selected from 73 submissions.
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: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
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: 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.
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