Frontiers in Neurorobotics – Editor’s Pick 2021

Frontiers in Neurorobotics – Editor’s Pick 2021 PDF Author: Florian Röhrbein
Publisher: Frontiers Media SA
ISBN: 2889668983
Category : Science
Languages : en
Pages : 159

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Book Description

Frontiers in Neurorobotics – Editor’s Pick 2021

Frontiers in Neurorobotics – Editor’s Pick 2021 PDF Author: Florian Röhrbein
Publisher: Frontiers Media SA
ISBN: 2889668983
Category : Science
Languages : en
Pages : 159

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Book Description


Frontiers in neuroinformatics editor’s pick 2021

Frontiers in neuroinformatics editor’s pick 2021 PDF Author: Jan G. Bjaalie
Publisher: Frontiers Media SA
ISBN: 2832515959
Category : Science
Languages : en
Pages : 352

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Frontiers in Computational Neuroscience – Editors’ Pick 2021

Frontiers in Computational Neuroscience – Editors’ Pick 2021 PDF Author: Si Wu
Publisher: Frontiers Media SA
ISBN: 2889741338
Category : Science
Languages : en
Pages : 268

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Frontiers in Systems Neuroscience – Editors’ Pick 2021

Frontiers in Systems Neuroscience – Editors’ Pick 2021 PDF Author: Olivia Gosseries
Publisher: Frontiers Media SA
ISBN: 2889711730
Category : Science
Languages : en
Pages : 152

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Neuromorphic Engineering Editors’ Pick 2021

Neuromorphic Engineering Editors’ Pick 2021 PDF Author: André van Schaik
Publisher: Frontiers Media SA
ISBN: 2889711617
Category : Science
Languages : en
Pages : 177

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Frontiers in Neural Circuits - Editors’ Pick 2021

Frontiers in Neural Circuits - Editors’ Pick 2021 PDF Author: Edward S. Ruthazer
Publisher: Frontiers Media SA
ISBN: 2889716430
Category : Science
Languages : en
Pages : 192

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Neural Technology Editors' Pick 2021

Neural Technology Editors' Pick 2021 PDF Author: Laura Ballerini
Publisher: Frontiers Media SA
ISBN: 288971103X
Category : Science
Languages : en
Pages : 135

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Frontiers in Robotics and AI editor's picks 2023

Frontiers in Robotics and AI editor's picks 2023 PDF Author: Kostas J. Kyriakopoulos
Publisher: Frontiers Media SA
ISBN: 2832543472
Category : Technology & Engineering
Languages : en
Pages : 124

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Book Description
For the second year in a row, we are very happy to offer our readership an ebook of 10 articles that have achieved widespread acceptance within our core audience and beyond. This time it concerns articles published in 2023, a landmark year for this journal, as it was officially awarded its first impact factor. These papers are among the large number that attained significant interest last year, but we selected just 10, which we consider to be the “best”. These articles have already made an impact in the form of original research or comprehensive reviews. As the Field Chief Editor, I would like to stand alongside our journal staff to honor all authors who contributed very high-level papers to the journal last year and are contributing to our success. We also thank the editors and reviewers of these papers, and of all papers this past year, for their invaluable contribution.

Insights in Neurorobotics: 2021

Insights in Neurorobotics: 2021 PDF Author: Florian Röhrbein
Publisher: Frontiers Media SA
ISBN: 2832505902
Category : Science
Languages : en
Pages : 165

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Book Description


Immunoinformatics of Cancers

Immunoinformatics of Cancers PDF Author: Nima Rezaei
Publisher: Academic Press
ISBN: 0128224304
Category : Medical
Languages : en
Pages : 284

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Book Description
Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching the immunological aspects of malignancies. It details biological and computational principles and the current applications of bioinformatic approaches in the study of human malignancies. Three sections cover the role of immunology in cancers and bioinformatics, including databases and tools, R programming and useful packages, and present the foundations of machine learning. The book then gives practical examples to illuminate the application of immunoinformatics to cancer, along with practical details on how computational and biological approaches can best be integrated.This book provides readers with practical computational knowledge and techniques, including programming, and machine learning, enabling them to understand and pursue the immunological aspects of malignancies. Presents the knowledge researchers need to apply computational techniques to immunodeficiencies Provides the most practical material for bioinformatics approaches to the immunology of cancers Gives straightforward and efficient explanations of programming and machine learning approaches in R Includes details of the most useful databases, tools, programming packages and algorithms for immunoinformatics Illuminates clear explanations with practical examples of immunoinformatic approaches to cancer