Nature of Computation and Communication

7th EAI International Conference, ICTCC 2021, Virtual Event, October 28–29, 2021, Proceedings

Häftad, Engelska, 2022

Del i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-01-04
Mått:155 x 235 x 13 mm
Vikt:365 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:225
Förlag:Springer Nature Switzerland AG
ISBN:9783030929411

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Innehållsförteckning

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 Vietnam’s 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.