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E-raamat: Nature of Computation and Communication: 7th EAI International Conference, ICTCC 2021, Virtual Event, October 28-29, 2021, Proceedings

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Nature of Computation and Communication: 7th EAI International Conference, ICTCC 2021, Virtual Event, October 28-29, 2021, ProceedingsSuurem pilt
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This book constitutes the refereed post-conference proceedings of the 7th International Conference on Nature of Computation and Communication, ICTCC 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually.
The 17 revised full papers presented were carefully selected from 43 submissions. The papers of ICTCC 2021 cover formal methods for self-adaptive systems and discuss natural approaches and techniques for natural computing systems and their applications.
Improving Morphology and Recurrent Residual Refinement Network to
Classify Hypertension in Retinal Vessel Image.- The impacts of the contextual
substitutions in Vietnamese micro-text augmentation.- Patient Classification
based on Symptoms using Machine Learning Algorithms Supporting Hospital
Admission.- Implementation of the Motion Controller for an Omni Mobile Robot
using the Trajectory Linearization Control.- Adaptive Deep Learning Technique
to Predict Graduation Result.- An approach for multiple choice question
answering system.- Forecast of the VN30 Index by day using a variable
dimension reduction method based on kernel tricks.- An Improved Algorithm to
Protect Sensitive High Utility Itemsets in Transaction Database.- Nowcasting
Vietnams RGDP using a kernel-based dimensional reduction method.- Predicting
Vietnamese stock market using the variants of LSTM architecture.-
Dimensionality reduction performance of Sparse PCA methods.- A game theory
approach for water exchange in ecoindustrial parks.- A case study without
regeneration units.- A game theory approach for water exchange in
ecoindustrial parks.- Numerical solution of Robin-Dirichlet problem for a
nonlinear wave equation with memory term.- Stable random vector and Gaussian
copula for stock market data.
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