Arai Intelligent Computing

Proceedings of the 2021 Computing Conference, Volume 2
1. Auflage 2021
ISBN: 978-3-030-80126-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 284, 1254 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world.Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book.The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences.We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Zielgruppe

Research

Autoren/Hrsg.

Arai, Kohei

Inhaltsverzeichnis

Balanced Weighted Label Propagation.- Analysis of the Vegetation Index Dynamics on the Base of Fuzzy Time Series Model.- Application of Data-driven Fault Diagnosis Design Techniques to a Wind Turbine Test-rig.- Mathematical Model to Support Decision-making to Ensure the Efficiency and Stability of Economic Development of the Republic of Kazakhstan.- Development of an Oceanographic Databank based on Ontological Interactive Documents.- GeoTree: A Data Structure for Constant Time Geospatial Search Enabling a Real-time Property Index.- Predictive Models as Early Warning Systems: A Bayesian Classification Model to Identify At-risk Students of Programming.- A New Proposal of Parametric Similarity Measures with Application in Decision Making.- A Disease Similarity Technique using Biological Process Functional Annotations.- Result Prediction using Data Mining.- Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning.