Social Sensing And Big Data Computing For Disaster Management

DOWNLOAD
Download Social Sensing And Big Data Computing For Disaster Management PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Social Sensing And Big Data Computing For Disaster Management 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. If the content not found or just blank you must refresh this page
Social Sensing And Big Data Computing For Disaster Management
DOWNLOAD
Author : Zhenlong Li
language : en
Publisher: Routledge
Release Date : 2020-12-17
Social Sensing And Big Data Computing For Disaster Management written by Zhenlong Li and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Social Science categories.
Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.
Social Sensing And Big Data Computing For Disaster Management
DOWNLOAD
Author : Zhenlong Li
language : en
Publisher: Routledge
Release Date : 2020-12-17
Social Sensing And Big Data Computing For Disaster Management written by Zhenlong Li and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Social Science categories.
Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.
Computer Science And Its Applications
DOWNLOAD
Author : James J. (Jong Hyuk) Park
language : en
Publisher: Springer
Release Date : 2014-12-15
Computer Science And Its Applications written by James J. (Jong Hyuk) Park and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-15 with Technology & Engineering categories.
The 6th FTRA International Conference on Computer Science and its Applications (CSA-14) will be held in Guam, USA, Dec. 17 - 19, 2014. CSA-14 presents a comprehensive conference focused on the various aspects of advances in engineering systems in computer science, and applications, including ubiquitous computing, U-Health care system, Big Data, UI/UX for human-centric computing, Computing Service, Bioinformatics and Bio-Inspired Computing and will show recent advances on various aspects of computing technology, Ubiquitous Computing Services and its application.
Artificial Intelligence A Multidisciplinary Approach Towards Teaching And Learning
DOWNLOAD
Author : Tahmeena Khan
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-11-19
Artificial Intelligence A Multidisciplinary Approach Towards Teaching And Learning written by Tahmeena Khan and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Education categories.
Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning explores the evolving role of AI in education, covering applications in fields such as bioinformatics, environmental science, physics, chemistry, economics, and language learning. Written by experts, this book provides a comprehensive overview of AI's integration into diverse subjects, offering insights into the future of AI in education and its potential to enhance academic research and pedagogy. Targeted at faculty, students, and professionals, the book addresses AI's role in blended learning environments and offers practical tools for educators seeking to incorporate AI into their teaching practices. Key Features: - Multidisciplinary exploration of AI in teaching and learning. - Practical tools and methodologies for educators. - Insights into AI-driven innovations in research. - Relevant to a broad audience, from students to professionals.
Multimedia Modeling
DOWNLOAD
Author : Ichiro Ide
language : en
Publisher: Springer Nature
Release Date : 2025-01-02
Multimedia Modeling written by Ichiro Ide and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
5th World Congress On Disaster Management Volume Ii
DOWNLOAD
Author : S. Ananda Babu
language : en
Publisher: Taylor & Francis
Release Date : 2022-12-02
5th World Congress On Disaster Management Volume Ii written by S. Ananda Babu and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-02 with Social Science categories.
World Congress on Disaster Management (WCDM) brings researchers, policy makers and practitioners from around the world in the same platform to discuss various challenging issues of disaster risk management, enhance understanding of risks and advance actions for reducing risks and building resilience to disasters. The fifth WCDM deliberates on three critical issues that pose the most serious challenges as well as hold the best possible promise of building resilience to disasters. These are Technology, Finance, and Capacity. WCDM has emerged as the largest global conference on disaster management outside the UN system. The fifth WCDM was attended by more than 2500 scientists, professionals, policy makers and practitioners all around the world despite the prevalence of pandemic.
Data Mining And Knowledge Discovery For Big Data
DOWNLOAD
Author : Wesley W. Chu
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-24
Data Mining And Knowledge Discovery For Big Data written by Wesley W. Chu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-24 with Technology & Engineering categories.
The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
Proceedings Of The International Conference On Paradigms Of Computing Communication And Data Sciences
DOWNLOAD
Author : Mayank Dave
language : en
Publisher: Springer Nature
Release Date : 2021-02-19
Proceedings Of The International Conference On Paradigms Of Computing Communication And Data Sciences written by Mayank Dave and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-19 with Technology & Engineering categories.
This book presents best selected papers presented at the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), organized by National Institute of Technology, Kurukshetra, India, during 1–3 May 2020. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Geomatics Solutions For Disaster Management
DOWNLOAD
Author : Jonathan Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-28
Geomatics Solutions For Disaster Management written by Jonathan Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-28 with Science categories.
Effective utilization of satellite positioning, remote sensing, and GIS in disaster monitoring and management requires research and development in numerous areas, including data collection, information extraction and analysis, data standardization, organizational and legal aspects of sharing of remote sensing information. This book provides a solid overview of what is being developed in the risk prevention and disaster management sector.
Geological Disaster Monitoring Based On Sensor Networks
DOWNLOAD
Author : Tariq S. Durrani
language : en
Publisher: Springer
Release Date : 2018-08-09
Geological Disaster Monitoring Based On Sensor Networks written by Tariq S. Durrani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-09 with Science categories.
This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers from China and the UK specializing in geosciences, sensor signal networks and their applications to natural disaster recovery. The Workshop presentations covered the state of the art in the area of disaster recovery and blended wireless sensor systems that act as early warning systems to mitigate the consequences of disasters and function as post-disaster recovery vehicles. This book promotes knowledge transfer and helps readers explore and identify research opportunities by highlighting research outcomes in the internationally relevant area of disaster recovery and mitigation.