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Bioimage Data Analysis Workflows ‒ Advanced Components and Methods (Repost)

Posted By: AvaxGenius

Date: 13 Feb 2024 22:39:49

Bioimage Data Analysis Workflows ‒ Advanced Components and Methods (Repost)

This textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis.
Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations.

Science Bioimage Data Analysis Data Analysis Cell Biology Computational Analysis

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Computational Science – ICCS 2021: 21st International Conference (Repost)

Posted By: AvaxGenius

Date: 10 Sep 2023 16:46:40

Computational Science – ICCS 2021: 21st International Conference (Repost)

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.*
The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions.

Development Computational Analysis Machine Learning Computational Methods Computational Science

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Computational Science – ICCS 2021: 21st International Conference (Repost)

Posted By: AvaxGenius

Date: 26 May 2023 23:09:37

Computational Analysis Computational Earth Sciences Machine Learning Computational Methods Development Computational Science

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Bioimage Data Analysis Workflows ‒ Advanced Components and Methods (Repost)

Posted By: AvaxGenius

Date: 1 Apr 2023 00:25:22

This textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis.

Science Data Analysis Bioimage Bioimage Data Analysis Deep Learning Machine Learning Computational Analysis

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Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

Posted By: AvaxGenius

Date: 30 Sep 2022 13:13:35

Science Data Analysis Bioimage Bioimage Data Analysis Analysis Deep Learning Machine Learning Computational Analysis Cell Biology Systems Biology Biological Imaging

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Computational Science – ICCS 2021: 21st International Conference (Repost)

Posted By: AvaxGenius

Date: 1 Jul 2022 06:02:18

Computational Analysis Computing Computational Earth Sciences Frameworks Machine Learning Computational Methods Artificial Intelligence High-Performance Computing Advanced Simulations Bioinformatics Difficult Data Classifier Learning Analysis Complex Social Systems Computational Collective Intelligence Computational Health Emerging Problems Information Analysis Smart Agriculture Computational Optimization Simulation Computational Science IoT Smart Systems Multiscale Modelling Quantification Uncertainty Computer Graphics Image Processing Data-Driven Radial Basis Functions Data Dynamical Systems MeshFree Modelling

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Averaging Methods in Nonlinear Dynamical Systems (Repost)

Posted By: AvaxGenius

Date: 20 Jun 2022 04:28:29

Averaging Methods in Nonlinear Dynamical Systems (Repost)

Averaging Methods in Nonlinear Dynamical Systems by Jan A. Sanders
English | PDF | 2007 | 446 Pages | ISBN : 0387489169 | 3.7 MB

Perturbation theory and in particular normal form theory has shown strong growth during the last decades. So it is not surprising that the authors have presented an extensive revision of the first edition of the Averaging Methods in Nonlinear Dynamical Systems book. There are many changes, corrections and updates in chapters on Basic Material and Asymptotics, Averaging, and Attraction. Chapters on Periodic Averaging and Hyperbolicity, Classical (first level) Normal Form Theory, Nilpotent (classical) Normal Form, and Higher Level Normal Form Theory are entirely new and represent new insights in averaging, in particular its relation with dynamical systems and the theory of normal forms. Also new are surveys on invariant manifolds in Appendix C and averaging for PDEs in Appendix E. Since the first edition, the book has expanded in length and the third author, James Murdock has been added.

Science Nonlinear Dynamical Systems partial differential equations partial differential equation differential equation Dynamical Systems Differential Equations Computational Physics Analysis Computational Analysis Physics

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Digital Designs for Money, Markets, and Social Dilemmas

Posted By: AvaxGenius

Date: 28 May 2022 22:43:14

An innovative feature of this book is its econocentric structure, focusing on digital designs. From the outset, econocentrism is assumed to be a core engine of capitalism, like money. The new coronavirus pandemic has changed lifestyles worldwide, which are unlikely ever to return in their original form. This great transformation will change the nature of the socio-economic system itself and will be centered on digital designs.

Complexity Thinking Evolution of Money Money AI Economics AI Market Experiments Computational Analysis Social Dilemmas Technology Management Game Theory Artificial Intelligence Economics Computational Economics Innovation Experimental Economics

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Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications

Posted By: yoyoloit

Date: 16 Aug 2021 05:24:19

Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications

Computational Analysis Deep Learning

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