Data For Science And Technology
Download Data For Science And Technology PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data For Science And Technology book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data for Science and Technology
Data for Science and Technology covers the proceedings of the Seventh International CODATA Conference. This text is comprised of 133 chapters with a total of 180 papers from 400 hundred authors, which cover CODATA concerned with environmental and energy questions along with problems of data banking and telecommunications network operations. This book provides valuable assessment of data and points out alternatives, trends, and requirements for the future, such as production and use of data in pure applied sciences; data for the development of human settlements in a dynamic world; informatical analysis of scientific research activities; and data on our evolutionary heritage. Researchers from all scientific fields will find this book a great source reference material, since it presents research from various disciplines.
Nuclear Data for Science and Technology
Author: K.H. Bockhoff
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Proceedings of the International Conference, Antwerp, Belgium, September 6-10, 1982
Data Science and Emerging Technologies
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.