Geospatial Data Science in Healthcare for Society 5.0, Garg
Автор: Aithal, Bharath H., Название: Building feature extraction with machine learning : ISBN: 1032255331 ISBN-13(EAN): 9781032255330 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Поставка под заказ.
Описание: This book focuses on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies.
Автор: Durbha, Surya S Название: Advances in Scalable and Intelligent Geospatial Analytics ISBN: 1032200316 ISBN-13(EAN): 9781032200316 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1. Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms. 2.
Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics. 3. Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems.
4. Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data.
Описание: The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards.
Автор: Pravat Shit, Gouri Bhunia and Partha Adhikary Название: Case Studies in Geospatial Applications to Groundwater Resources ISBN: 0323999638 ISBN-13(EAN): 9780323999632 Издательство: Elsevier Science Рейтинг: Цена: 21391.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Let`s Learn About the Forest is an interactive oversized board book that encourages little ones to use their imaginations and power of discovery to find the different animals and items in the forest God created. As they do, they will also learn interesting facts about the different animals and their habitats.
Автор: Kundu Sandeep Narayan Название: Geospatial Data Analytics and Urban Applications ISBN: 9811676488 ISBN-13(EAN): 9789811676482 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data.
Автор: Garg Pradeep Kumar Название: Geospatial Data Science in Healthcare for Society 5.0 ISBN: 9811694753 ISBN-13(EAN): 9789811694752 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Поставка под заказ.
Описание: The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Chapter 1: Introduction: Dr. Atsushi Nara & Dr. Ming-Hsiang Tsou
Chapter 2: Theoretical Perspectives: Dr. Brian Spitzberg and/or Dr. Lourdes Martinez
Chapter 3: Techniques and Methodologies: Social Media Data and Big Data: Dr. Jiue-An Yang
Chapter 4: Techniques and Methodologies: Data Collection and Management: Dr. Xinyue Ye or Dr. Ming-Hsiang
Chapter 5: Techniques and Methodologies: Data Analytics I: Dr. Jae Hyun Lee or Fang Fang
Chapter 6: Techniques and Methodologies: Data Analytics II: Dr. Xuan Shi
Chapter 7: Applications: Disaster Management and Response: Dr. Jonathan Cinnamon or Dr. Xinyue Ye or Dr. Xuan Shi
Chapter 8: Applications: Public Health: Cancer Disparities: Dr. Caroline Thompson & Chanwoo Jin
Chapter 9: Applications: Public Health: Health Behaviour: Dr. Eric Shook or Dr. Bo Zhao or Dr. Atsushi Nara & Luo Nana
Chapter 10: Applications: Urban Geography: Smart Cities and Transportation: Dr. Andrew Crooks or Dr. Sahar Ghanipoor Machiani & Dr. Arash Jahangiri or Chanwoo Jin
Chapter 11: Applications: Urban Geography: Urban Dynamics and Gentrification: Dr. Tuuli Toivonen or Chen Xu or Dr. Atsushi Nara & Cheng-Chia Huang
Chapter 12: Applications: Political Debates: Dr. Monica Stephens or Dr. Kang Aetti or Dr. May Yuan & Jaehee Park
Chapter 13: Applications: Information Diffusion: Jaehee Park or Dr. Brian Spitzberg and/or Dr. Lourdes Martinez
Chapter 14: Future Visions: Dr. Shih-Lung Shaw or Dr. Atsushi Nara & Dr. Ming-Hsiang Tsou
Описание: The open source GIS research community believes that combining free and open software, open data, as well as open standards, leads to the creation of a sustainable ecosystem for accelerating new discoveries to help solve global cross-disciplinary urban challenges.
Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube Название: Cloud Computing for Geospatial Big Data Analytics ISBN: 3030033589 ISBN-13(EAN): 9783030033583 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.
Описание: Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data aims to escalate the current scope of research to support the development of semantically interoperable systems of geographic space. This reference will aid to university lecturers and professors, students, researchers, developers of the spatial applications and the developers of the spatial semantic applications will gain important guidance.
Автор: Aaron Jabbour, Renny Babiarz Название: Geospatial Data, Information, and Intelligence ISBN: 1630819794 ISBN-13(EAN): 9781630819798 Издательство: Artech House Рейтинг: Цена: 21067.00 р. Наличие на складе: Нет в наличии.
Автор: Sabine Timpf; Patrick Laube Название: Advances in Spatial Data Handling ISBN: 3662510510 ISBN-13(EAN): 9783662510513 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Specially selected from the reviewed and edited proceedings of the 2012 International Symposium on Spatial Data Handling, this collection of the latest research achievements incorporates findings in all three of these dynamic and expanding disciplines.
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