9783110702453-3110702452-Blockchain 3.0 for Sustainable Development (De Gruyter Frontiers in Computational Intelligence, 10)

Blockchain 3.0 for Sustainable Development (De Gruyter Frontiers in Computational Intelligence, 10)

ISBN-13: 9783110702453
ISBN-10: 3110702452
Edition: 1
Author: Sanjeevikumar Padmanaban, Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas
Publication date: 2021
Publisher: De Gruyter
Format: Hardcover 172 pages
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Book details

ISBN-13: 9783110702453
ISBN-10: 3110702452
Edition: 1
Author: Sanjeevikumar Padmanaban, Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas
Publication date: 2021
Publisher: De Gruyter
Format: Hardcover 172 pages

Summary

Blockchain 3.0 for Sustainable Development (De Gruyter Frontiers in Computational Intelligence, 10) (ISBN-13: 9783110702453 and ISBN-10: 3110702452), written by authors Sanjeevikumar Padmanaban, Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas, was published by De Gruyter in 2021. With an overall rating of 3.8 stars, it's a notable title among other AI & Machine Learning (Algorithms, Programming, Security & Encryption, Engineering, Computer Science) books. You can easily purchase or rent Blockchain 3.0 for Sustainable Development (De Gruyter Frontiers in Computational Intelligence, 10) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE

The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research.

Series Editor

Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India

Editorial Advisory Board

Dr. Elizabeth Behrman, Wichita State University, Kansas, USA

Dr. Goran Klepac

Dr. Leo Mrsic, Algebra University College, Croatia

Dr. Aboul Ella Hassanien, Cairo University, Egypt

Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic

Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland

Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil

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