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.

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.