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Intelligence Science III [electronic resource] : 4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24–27, 2021, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: IFIP Advances in Information and Communication Technology ; 623Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XIII, 317 p. 47 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030748265
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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 Datafrom 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 IntelligentSystem -- 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.
In: Springer Nature eBookSummary: This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.
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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 Datafrom 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 IntelligentSystem -- 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.

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.

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