Buch, Englisch, Band 623, 317 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 664 g
Reihe: IFIP Advances in Information and Communication Technology
4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24-27, 2021, Revised Selected Papers
Buch, Englisch, Band 623, 317 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 664 g
Reihe: IFIP Advances in Information and Communication Technology
ISBN: 978-3-030-74825-8
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
Weitere Infos & Material
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.
