Thinking, Observing And Mining The Universe - Proceedings Of The International Conference PDF Download
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Author: Gennaro Miele
Publisher: World Scientific
ISBN: 9814483648
Category : Science
Languages : en
Pages : 361
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Book Description
This is a collection of review articles and more specialized papers on the main issues of early universe physics. Both theoretical and experimental fields of research are dealt with.
Author: Gennaro Miele
Publisher: World Scientific
ISBN: 9814483648
Category : Science
Languages : en
Pages : 361
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Book Description
This is a collection of review articles and more specialized papers on the main issues of early universe physics. Both theoretical and experimental fields of research are dealt with.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 64
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Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Author: Donald Hilvert
Publisher: World Scientific
ISBN: 9814603848
Category : Science
Languages : en
Pages : 380
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Book Description
A select group of 40 eminent scientists from all parts of the world met to consider the current state of chemical and biological knowledge on the ever-expanding protein universe, and to discuss emerging opportunities for the foreseeable future. Scientific approaches to discover, characterize, and regulate protein functions were discussed over a range of disciplines, including natural product chemistry, microbiology, enzymology, biochemistry, structural biology, chemical biology, and glycobiology. Some notable highlights included discovery of new enzymatic pathways, innovative carbohydrate chemistry, design of proteins containing unnatural amino acids, structural elucidation of complex supramolecular machines, and design and application of small molecule drugs, biologics and biosimilars.This fascinating compendium of scientific presentations and in-depth discussions affords a unique perspective on today's protein chemistry and biology as well as on the challenges for tomorrow.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
Author: James R. Sanford
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 1236
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Book Description
Author: Željko Ivezić
Publisher: Princeton University Press
ISBN: 0691197059
Category : Science
Languages : en
Pages : 557
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Book Description
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date. Fully revised and expanded Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from astronomical surveys Uses a freely available Python codebase throughout Ideal for graduate students, advanced undergraduates, and working astronomers
Author: Guoyin Wang
Publisher: Springer Science & Business Media
ISBN: 3540140409
Category : Computers
Languages : en
Pages : 758
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Book Description
This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2003, held in Chongqing, China in May 2003. The 39 revised full papers and 75 revised short papers presented together with 2 invited keynote papers and 11 invited plenary papers were carefully reviewed and selected from a total of 245 submissions. The papers are organized in topical sections on rough sets foundations and methods; fuzzy sets and systems; granular computing; neural networks and evolutionary computing; data mining, machine learning, and pattern recognition; logics and reasoning; multi-agent systems; and Web intelligence and intelligent systems.
Author: Dominik Ślęzak
Publisher: Springer Science & Business Media
ISBN: 3540286535
Category : Computers
Languages : en
Pages : 764
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Book Description
The two volume set LNAI 3641 and LNAI 3642 constitutes the refereed proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005. The 119 revised full papers presented were carefully reviewed and selected from a total of 277 submissions. They comprise the two volumes together with 6 invited papers, 22 approved workshop papers, and 5 special section papers that all were carefully selected and thoroughly revised. The first volume includes 75 contributions related to rough set approximations, rough-algebraic foundations, feature selection and reduction, reasoning in information systems, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, approximate and uncertain reasoning, probabilistic network models, spatial and temporal reasoning, non-standard logics, and granular computing. The second volume contains 77 contributions and deals with rough set software, data mining, hybrid and hierarchical methods, information retrieval, image recognition and processing, multimedia applications, medical applications, web content analysis, business and industrial applications, the approved workshop papers and the papers accepted for a special session on intelligent and sapient systems.
Author: Singh, Sonia
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 521
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Book Description
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.
Author: British Library. Document Supply Centre
Publisher:
ISBN:
Category : Conference proceedings
Languages : en
Pages : 844
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Book Description
