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Enhanced Bayesian Network Models for Spatial Time Series Prediction

Author: Monidipa Das

Publisher: Springer Nature

Published: 2019-11-07

Total Pages: 149

ISBN-13: 3030277496

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This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers.

Book Synopsis Enhanced Bayesian Network Models for Spatial Time Series Prediction by : Monidipa Das

Download or read book Enhanced Bayesian Network Models for Spatial Time Series Prediction written by Monidipa Das and published by Springer Nature. This book was released on 2019-11-07 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers.

Bayesian Applications in Environmental and Ecological Studies with R and Stan

Author: Song S. Qian

Publisher: CRC Press

Published: 2022-08-29

Total Pages: 416

ISBN-13: 1351018779

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Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, as they enable information from different sources to be brought into the modelling process. Bayesian Applications in Evnironmental and Ecological Studies with R and Stan provides a Bayesian framework for model formulation, parameter estimation, and model evaluation in the context of analyzing environmental and ecological data. Features: An accessible overview of Bayesian methods in environmental and ecological studies Emphasizes the hypothetical deductive process, particularly model formulation Necessary background material on Bayesian inference and Monte Carlo simulation Detailed case studies, covering water quality monitoring and assessment, ecosystem response to urbanization, fisheries ecology, and more Advanced chapter on Bayesian applications, including Bayesian networks and a change point model Complete code for all examples, along with the data used in the book, are available via GitHub The book is primarily aimed at graduate students and researchers in the environmental and ecological sciences, as well as environmental management professionals. This is a group of people representing diverse subject matter fields, who could benefit from the potential power and flexibility of Bayesian methods.

Book Synopsis Bayesian Applications in Environmental and Ecological Studies with R and Stan by : Song S. Qian

Download or read book Bayesian Applications in Environmental and Ecological Studies with R and Stan written by Song S. Qian and published by CRC Press. This book was released on 2022-08-29 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, as they enable information from different sources to be brought into the modelling process. Bayesian Applications in Evnironmental and Ecological Studies with R and Stan provides a Bayesian framework for model formulation, parameter estimation, and model evaluation in the context of analyzing environmental and ecological data. Features: An accessible overview of Bayesian methods in environmental and ecological studies Emphasizes the hypothetical deductive process, particularly model formulation Necessary background material on Bayesian inference and Monte Carlo simulation Detailed case studies, covering water quality monitoring and assessment, ecosystem response to urbanization, fisheries ecology, and more Advanced chapter on Bayesian applications, including Bayesian networks and a change point model Complete code for all examples, along with the data used in the book, are available via GitHub The book is primarily aimed at graduate students and researchers in the environmental and ecological sciences, as well as environmental management professionals. This is a group of people representing diverse subject matter fields, who could benefit from the potential power and flexibility of Bayesian methods.

Climate Change and Water Security

Author: Sreevalsa Kolathayar

Publisher: Springer Nature

Published: 2021-11-18

Total Pages: 516

ISBN-13: 9811655014

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This book presents the select proceedings of the Virtual Conference on Disaster Risk Reduction (VCDRR 2021). It emphasizes on the role of civil engineering for a disaster resilient society. It presents latest research on climate change and water security focusing on disaster risk reduction. Various topics covered in this book are climate change, stormwater management, flood risk analysis, drought management, water treatment, etc. This book is a comprehensive volume on disaster risk reduction (DRR) and its management for a sustainable built environment. This book is useful for the students, researchers, policy makers and professionals working in the area of civil engineering, climate change and disaster management.

Book Synopsis Climate Change and Water Security by : Sreevalsa Kolathayar

Download or read book Climate Change and Water Security written by Sreevalsa Kolathayar and published by Springer Nature. This book was released on 2021-11-18 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select proceedings of the Virtual Conference on Disaster Risk Reduction (VCDRR 2021). It emphasizes on the role of civil engineering for a disaster resilient society. It presents latest research on climate change and water security focusing on disaster risk reduction. Various topics covered in this book are climate change, stormwater management, flood risk analysis, drought management, water treatment, etc. This book is a comprehensive volume on disaster risk reduction (DRR) and its management for a sustainable built environment. This book is useful for the students, researchers, policy makers and professionals working in the area of civil engineering, climate change and disaster management.

Bayesian Time Series Models

Author: David Barber

Publisher: Cambridge University Press

Published: 2011-08-11

Total Pages: 432

ISBN-13: 0521196760

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The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.

Book Synopsis Bayesian Time Series Models by : David Barber

Download or read book Bayesian Time Series Models written by David Barber and published by Cambridge University Press. This book was released on 2011-08-11 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.

ECAI 2016

Author: G.A. Kaminka

Publisher: IOS Press

Published: 2016-08-24

Total Pages: 1860

ISBN-13: 1614996725

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Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.

Book Synopsis ECAI 2016 by : G.A. Kaminka

Download or read book ECAI 2016 written by G.A. Kaminka and published by IOS Press. This book was released on 2016-08-24 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.

Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion

Author: Mohamed Zaki

Publisher: Infinite Study

Published:

Total Pages: 16

ISBN-13:

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Cairo is experiencing traffic congestion that places it among the worst in the world. Obviously, it is difficult if not impossible to solve the transportation problem because it is multi-dimensional problem but it's good to reduce this waste of money and the associated waste of time resulting from congestion.

Book Synopsis Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion by : Mohamed Zaki

Download or read book Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion written by Mohamed Zaki and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cairo is experiencing traffic congestion that places it among the worst in the world. Obviously, it is difficult if not impossible to solve the transportation problem because it is multi-dimensional problem but it's good to reduce this waste of money and the associated waste of time resulting from congestion.

Hierarchical Modeling and Analysis for Spatial Data

Author: Sudipto Banerjee

Publisher: CRC Press

Published: 2014-09-12

Total Pages: 583

ISBN-13: 1439819181

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Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and ModelingSince the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflec

Book Synopsis Hierarchical Modeling and Analysis for Spatial Data by : Sudipto Banerjee

Download or read book Hierarchical Modeling and Analysis for Spatial Data written by Sudipto Banerjee and published by CRC Press. This book was released on 2014-09-12 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and ModelingSince the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflec

Challenges and Opportunity with Big Data

Author: Lin Zhang

Publisher: Springer

Published: 2017-08-03

Total Pages: 209

ISBN-13: 3319619942

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This book presents the thoroughly refereed and revised post-workshop proceedings of the 19th Monterey Workshop, held in Beijing, China, in Ocotber 2016. The workshop explored the challenges associated with the Development, Operation and Management of Large-Scale complex IT Systems. The 18 revised full papers presented were significantly extended and improved by the insights gained from the productive and lively discussions at the workshop, and the feedback from the post-workshop peer reviews. 2016 marks the 23rd anniversary for the Monterey Workshop series which started in 1993. For nearly a quarter of century, the Monterey Workshops have established themselves as an important international forum to foster, among academia, industry, and government agencies, discussion and exchange of ideas, research results and experience in developing software intensive systems, and have significantly advanced the field. The community of the workshop participants has grown to become an influential source of ideas and innovations and its impact on the knowledge economy has been felt worldwide.

Book Synopsis Challenges and Opportunity with Big Data by : Lin Zhang

Download or read book Challenges and Opportunity with Big Data written by Lin Zhang and published by Springer. This book was released on 2017-08-03 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the thoroughly refereed and revised post-workshop proceedings of the 19th Monterey Workshop, held in Beijing, China, in Ocotber 2016. The workshop explored the challenges associated with the Development, Operation and Management of Large-Scale complex IT Systems. The 18 revised full papers presented were significantly extended and improved by the insights gained from the productive and lively discussions at the workshop, and the feedback from the post-workshop peer reviews. 2016 marks the 23rd anniversary for the Monterey Workshop series which started in 1993. For nearly a quarter of century, the Monterey Workshops have established themselves as an important international forum to foster, among academia, industry, and government agencies, discussion and exchange of ideas, research results and experience in developing software intensive systems, and have significantly advanced the field. The community of the workshop participants has grown to become an influential source of ideas and innovations and its impact on the knowledge economy has been felt worldwide.

Recent Advances in Information and Communication Technology 2017

Author: Phayung Meesad

Publisher: Springer

Published: 2017-06-17

Total Pages: 360

ISBN-13: 3319606638

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This book includes selected contributions related to big data and data networking, presented at the 13th International Conference on Computing and Information Technology (IC2IT), which was held at the Arnoma Grand Hotel Bangkok, Thailand, July 6–7, 2017. The aim of the conference was to present emerging algorithms, methods and technologies with a high degree of originality, novelty and innovation addressing the conference theme `Mastering Data and Networking’. Section 1 and 2 discuss various aspects of data mining and corresponding applications. Section 3 focuses on speed and overhead networking optimisation problems, as well as energy problems of autonomous systems, which are becoming increasingly important. The key to addressing these problems is properly determining critical parameters. Section 4 sheds light on natural language processing, including extraction of trends and popularity and recognition of emotions as well as classic topics such as detection and classification.

Book Synopsis Recent Advances in Information and Communication Technology 2017 by : Phayung Meesad

Download or read book Recent Advances in Information and Communication Technology 2017 written by Phayung Meesad and published by Springer. This book was released on 2017-06-17 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected contributions related to big data and data networking, presented at the 13th International Conference on Computing and Information Technology (IC2IT), which was held at the Arnoma Grand Hotel Bangkok, Thailand, July 6–7, 2017. The aim of the conference was to present emerging algorithms, methods and technologies with a high degree of originality, novelty and innovation addressing the conference theme `Mastering Data and Networking’. Section 1 and 2 discuss various aspects of data mining and corresponding applications. Section 3 focuses on speed and overhead networking optimisation problems, as well as energy problems of autonomous systems, which are becoming increasingly important. The key to addressing these problems is properly determining critical parameters. Section 4 sheds light on natural language processing, including extraction of trends and popularity and recognition of emotions as well as classic topics such as detection and classification.

Theory and Method of Fisheries Forecasting

Author: Xinjun Chen

Publisher: Springer Nature

Published: 2022-09-07

Total Pages: 208

ISBN-13: 9811929564

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This book systematically introduces the knowledge system and research results of fisheries forecasting. It is divided into four parts and seven chapters. The first part is the introduction, which mainly introduces the basic concepts, the nature of the subject, and the research contents, as well as the current status of research. The second part is about the basic knowledge of fisheries forecasting, including overview of the world marine environment, fish shoaling and migration distribution, the relationship between fish behavior and marine environment, and the basic theory of forming fishing ground. The third part is the focus of this book, including the basic principles and methods of fisheries forecasting, as well as the application of new techniques and methods in fisheries forecasting. The fourth part is the comprehensive application of fisheries forecasting, including the general situation of world marine fisheries, the impact of global marine environment changes on fisheries resources and fishing ground, and case studying of fisheries forecasting of important economic species, such as oceanic squid, jack mackerel, anchovy, and skipjack. The study of this book will help everyone to master the basic principles and methods of fisheries forecasting, as well as the application of new technologies and methods in important economic species, and lay a foundation for future work in the field of marine fisheries.

Book Synopsis Theory and Method of Fisheries Forecasting by : Xinjun Chen

Download or read book Theory and Method of Fisheries Forecasting written by Xinjun Chen and published by Springer Nature. This book was released on 2022-09-07 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically introduces the knowledge system and research results of fisheries forecasting. It is divided into four parts and seven chapters. The first part is the introduction, which mainly introduces the basic concepts, the nature of the subject, and the research contents, as well as the current status of research. The second part is about the basic knowledge of fisheries forecasting, including overview of the world marine environment, fish shoaling and migration distribution, the relationship between fish behavior and marine environment, and the basic theory of forming fishing ground. The third part is the focus of this book, including the basic principles and methods of fisheries forecasting, as well as the application of new techniques and methods in fisheries forecasting. The fourth part is the comprehensive application of fisheries forecasting, including the general situation of world marine fisheries, the impact of global marine environment changes on fisheries resources and fishing ground, and case studying of fisheries forecasting of important economic species, such as oceanic squid, jack mackerel, anchovy, and skipjack. The study of this book will help everyone to master the basic principles and methods of fisheries forecasting, as well as the application of new technologies and methods in important economic species, and lay a foundation for future work in the field of marine fisheries.