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1. |
Record Nr. |
UNINA9910488714703321 |
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Autore |
Liu Shu-Tang |
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Titolo |
Mathematical Principle and Fractal Analysis of Mesoscale Eddy / / by Shu-Tang Liu, Yu-Pin Wang, Zhi-Min Bi, Yin Wang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (260 pages) |
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Collana |
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Intelligent Technologies and Robotics Series |
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Disciplina |
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Soggetti |
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Automatic control |
Engineering mathematics |
Control and Systems Theory |
Engineering Mathematics |
Vòrtexs |
Models matemàtics |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Preliminaries -- Universal Mathematical Model of Mesoscale Eddy -- Semi-stable Limit Cycle in Mathematical Model of Mesoscale Eddy -- Semi-stable Limit Cycles and Mesoscale Eddies -- Example Verification -- Spatiotemporal Structure of Mesoscale Eddies: Self-similar Fractal Behavior -- Mesoscale Eddies: Disc and Columnar Shapes -- Fractal Analysis and Prediction of Mesoscale Eddy Spatiotemporal Complexity -- Nonlinear Characteristics of Universal Mathematical Model of Mesoscale Eddy -- Same Solution between Momentum Balance Equations and Mesoscale Eddies -- Momentum Balance Equation Based on Truncation Function and Mathematical Model of Mesoscale Eddies -- Interpolation Prediction of Mesoscale Eddies -- Random Elliptic Curve and Brownian Motion Trajectory of Mesoscale Eddy -- Mathematical Model for Edge Waves of Mesoscale Eddies and Its Spatio-temporal Fractal Structures. |
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Sommario/riassunto |
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This book focuses on universal nonlinear dynamics model of mesoscale eddies. The results of this book are not only the direct-type applications of pure mathematical limit cycle theory and fractal theory |
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in practice but also the classic combination of nonlinear dynamic systems in mathematics and the physical oceanography. The universal model and experimental verification not only verify the relevant results that are obtained by Euler's form but also, more importantly, are consistent with observational numerical statistics. Due to the universality of the model, the consequences of the system are richer and more complete. The comprehensive and systematic mathematical modeling of mesoscale eddies is one of the major features of the book, which is particularly suited for readers who are interested to learn fractal analysis and prediction in physical oceanography. The book benefits researchers, engineers, and graduate students in the fields of mesoscale eddies, fractal, chaos, and other applications, etc. |
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2. |
Record Nr. |
UNINA9910255020103321 |
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Titolo |
Pattern Recognition : 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part I / / edited by Tieniu Tan, Xuelong Li, Xilin Chen, Jie Zhou, Jian Yang, Hong Cheng |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XXIII, 783 p. 339 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 662 |
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Disciplina |
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Soggetti |
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Pattern recognition systems |
Computer vision |
Biometric identification |
Artificial intelligence |
Natural language processing (Computer science) |
Data mining |
Automated Pattern Recognition |
Computer Vision |
Biometrics |
Artificial Intelligence |
Natural Language Processing (NLP) |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Robotics -- Computer vision -- Basic theory of pattern recognition -- Image and video processing -- Speech and language -- Emotion recognition. |
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Sommario/riassunto |
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The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016. The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition. |
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