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Brain Cognition
Mind Modeling in Intelligence Science
Some Discussions on Subjectivity of Machine and its Function
Hexagon of Intelligence
Uncertain Theory
Interactive Granular Computing Model for Intelligent Systems
A framework for the approximation of relations
Logical treatment of incomplete/uncertain information relying on different systems of rough sets
Possibility theory and possibilistic logic: Tools for reasoning under and about incomplete information
Machine Learning
Similarity-based Rough Sets with Annotation Using Deep Learning
P-T Probability Framework and Semantic Information G Theory Tested by Seven Difficult Tasks
Trilevel Multi-Criteria Decision Analysis based on Three-Way Decision
Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) based Type-2 Diabetic Modeling
Granulated Tables with Frequency by Discretization and Their Application
Data Intelligence
Person Authentication by Gait Data from Smartphone Sensors using Convolutional Autoencoder
Research on Personal Credit Risk Assessment Model Based on Instance-based Transfer Learning
Language Cognition
From Texts to Classification Knowledge
ANAS: Sentence similarity calculation based on automatic neural architecture search
Fully interval integer transhipment problem- A solution approach
Vision Cognition
Novel image compression and deblockingapproach using BPN and Deep neural network architecture
Characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning
Perceptual Intelligence
Stability Analysis of Imprecise Prey-Predator Model
Comparative Performance Study on Human Activity Recognition with Deep Neural Networks
Intelligent Robot
Beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control
Application of pinching method to quantify sensitivity of reactivity coefficients on power defect
Computation with Democracy An Intelligent System
Medical Artificial Intelligence
Economy and Unemployment Due to COVID19 Secondary ResearchL
Optimal Control of Dengue-Chikungunya Co-infection: A mathematical Study
Comparative analysis of machine learning algorithms for categorizing eye diseases.

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