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This book illustrates the rapid pace of development in intelligent assistive technology in recent years, and highlights... Læs mere
This book discusses the most challenging task ahead of researchers from India and around the globe: providing disease-free field crops for the ever-growing world population.
Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitablefor graduate students.
Based on talks from the 2017 and 2018 Combinatorial and Additive Number Theory (CANT) workshops at the City University of New York, these proceedings offer 17 peer-reviewed and edited papers on current topics in number theory.
This book identifies the important uncertainties to use in real-world problem modeling. Presenting problems that can be represented using mathematical models to create a system of linear equations, this book discusses the latest insights into uncertain information.
This book covers different, current research directions in the context of variational methods for non-linear geometric data.
This book presents the latest research in the fields of reliability theory and its applications, providing a comprehensive overview of reliability engineering and discussing various tools, techniques, strategies and methods within these areas.
Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis.
This contributed volume offers a much-needed overview of the statistical methods in early clinical drug and biomarker development.
This book gathers the proceedings of the 9th International Symposium “Information Fusion and Intelligent Geographic Information Systems 2019” (IF&IGIS'2019), which was held in St. Petersburg, Russia from May 22 to 24, 2019.