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Reprint

Selected Papers from IIKII 2019 conferences in Symmetry

Edited by
August 2020
368 pages
  • ISBN978-3-03936-240-0 (Hardback)
  • ISBN978-3-03936-241-7 (PDF)
https://doi.org/10.3390/books978-3-03936-241-7
Free download (PDF)

This book is a reprint of the Special Issue Selected Papers from IIKII 2019 conferences in Symmetry that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary

The International Institute of Knowledge Innovation and Invention (IIKII, http://www.iikii.org) promotes the exchange of innovations and inventions and establishes a communication platform for international innovations and research. In 2019, IIKII cooperates with the IEEE Tainan Section Sensors Council to hold IEEE conferences, such as IEEE ICIASE 2019, IEEE ECBIOS 2019, IEEE ICKII 2019, ICUSA-GAME 2019, and IEEE ECICE 2019. This Special Issue, entitled "Selected Papers from IIKII 2019 conferences", aims to showcase outstanding papers from IIKII 2019 conferences, including symmetry in physics, chemistry, biology, mathematics, and computer science, etc. It selected 21 outstanding papers from 750 papers presented in IIKII 2019 conferences on the topic of symmetry. The main goals of this Special Issue are to encourage scientists to publish their experimental and theoretical results in as much detail as possible, and to discover new scientific knowledge relevant to the topic of symmetry.

Format
  • Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
learning attitude; computer subject; learning effectiveness; energy level consumption; pattern recognition; random forest; machine learning; load forecasting; level classification; fan design; numerical simulation; fan experiments; axial flow fan; electronics cooling; YouTube advertising; uses and gratifications approach; demographic characteristics; behavioral modality; reliability; machine learning; graph embedding method; dimensionality reduction; diversity learning; adaptive neighbors; sustainable energy; power load forecasting; adaptive-network-based fuzzy inference system (ANFIS); back-propagation neural network (BPN); persistence; search algorithm; empirical mode decomposition; pattern recognition; wavelet; empirical wavelet transform; convolutional neural network; induction motor; fourier transform; fault diagnosis; generalized spatial modulation; indoor visible light communication; multi-pulse amplitude and position modulation; dimming control; CNC machining; semantic rules; fuzzy quantification; fuzzy inference; Game theory; iterative ILU; preconditioner; partial-differential equations; parallel computation; linked open data; GPS; traffic assistant agents; balance interface design; structure surveying; 3D model; reverse engineering; CAD; blended learning; learning behaviors; learning performance; machine learning; online programming course; gray relational analysis; flow-field analysis; fan design; CFD; product design evaluation; symmetry; particle swarm optimization; improved bacterial foraging optimization; imbalanced data; backtracking; energy sorting; atom screening; three-dimensional models; cloud computing; histogram shifting; encrypted model; decrypted model; symmetric model; communication effectiveness; communication satisfaction; job performance; failure prediction model; industrial Internet of Things; iterative feature selection; machine learning; manufacturing; constrained application protocol; Internet of Things local network; sensor device; speedy block-wise transfer; virtual private storage; GIS; monitoring; resident parking; transport; physics symmetry; mathematics symmetry; computer Science; dual coding theory; computer assisted language learning; learning attitude; learning effectiveness