Автор: Shrutilipi Bhattacharjee; Soumya Kanti Ghosh; Jia Название: Semantic Kriging for Spatio-temporal Prediction ISBN: 9811386633 ISBN-13(EAN): 9789811386633 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.
Автор: Gali? Название: Spatio-Temporal Data Streams ISBN: 1493965735 ISBN-13(EAN): 9781493965731 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering.
Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing.
Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
Longitudinal Registration and Shape Modeling.- Longitudinal Modeling.- Reconstruction from Longitudinal Data.- 4D Image Processing.
Автор: Rita de Caluwe; Guy De Tr?; Gloria Bordogna Название: Spatio-Temporal Databases ISBN: 3642060706 ISBN-13(EAN): 9783642060700 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spatio-Temporal Databases explores recent trends in flexible querying and reasoning about time- and space-related information in databases.
Автор: Christine Parent; Stefano Spaccapietra; Esteban Zi Название: Conceptual Modeling for Traditional and Spatio-Temporal Applications ISBN: 3642067646 ISBN-13(EAN): 9783642067648 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapidly.
Описание: Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning.
Автор: Andrew U. Frank; Irene Campari; Ubaldo Formentini Название: Theories and Methods of Spatio-Temporal Reasoning in Geographic Space ISBN: 3540559663 ISBN-13(EAN): 9783540559665 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume collects the papers presented at an international symposium dedicated to spatial and temporal reasoning in geographic space. The contributors discuss temporal databases, the understanding of spatial concepts and the unique problems of spatial reasoning in large-scale space.
Автор: Christos Doulkeridis; George A. Vouros; Qiang Qu; Название: Mobility Analytics for Spatio-Temporal and Social Data ISBN: 3319735209 ISBN-13(EAN): 9783319735207 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017. The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.
Описание: Provides a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence. It covers both theory and application-centric research in the area of qualitative spatial and temporal reasoning and provides a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning.
Автор: Vladimir Mashtalir; Igor Ruban; Vitaly Levashenko Название: Advances in Spatio-Temporal Segmentation of Visual Data ISBN: 3030354792 ISBN-13(EAN): 9783030354794 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval.
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