Air Quality Monitoring And Advanced Bayesian Modeling
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Air Quality Monitoring And Advanced Bayesian Modeling
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Author : Yongjie Li
language : en
Publisher: Elsevier
Release Date : 2023-01-14
Air Quality Monitoring And Advanced Bayesian Modeling written by Yongjie Li and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-14 with Science categories.
Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models. - Covers fundamental to advanced applications of urban air quality monitoring and forecasting - Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques - Presents case studies throughout to provide real-world context to the research presented in the book
Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing
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Author : Y. A. Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2023-07-25
Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing written by Y. A. Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.
Bayesian Modeling Of Spatio Temporal Data With R
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Author : Sujit Sahu
language : en
Publisher: CRC Press
Release Date : 2022-02-23
Bayesian Modeling Of Spatio Temporal Data With R written by Sujit Sahu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Mathematics categories.
Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction. Ideally such inferential tasks should be approached through modelling, which aids in estimation of uncertainties in all conclusions drawn from such data. Unified Bayesian modelling, implemented through user friendly software packages, provides a crucial key to unlocking the full power of these methods for solving challenging practical problems. Key features of the book: • Accessible detailed discussion of a majority of all aspects of Bayesian methods and computations with worked examples, numerical illustrations and exercises • A spatial statistics jargon buster chapter that enables the reader to build up a vocabulary without getting clouded in modeling and technicalities • Computation and modeling illustrations are provided with the help of the dedicated R package bmstdr, allowing the reader to use well-known packages and platforms, such as rstan, INLA, spBayes, spTimer, spTDyn, CARBayes, CARBayesST, etc • Included are R code notes detailing the algorithms used to produce all the tables and figures, with data and code available via an online supplement • Two dedicated chapters discuss practical examples of spatio-temporal modeling of point referenced and areal unit data • Throughout, the emphasis has been on validating models by splitting data into test and training sets following on the philosophy of machine learning and data science This book is designed to make spatio-temporal modeling and analysis accessible and understandable to a wide audience of students and researchers, from mathematicians and statisticians to practitioners in the applied sciences. It presents most of the modeling with the help of R commands written in a purposefully developed R package to facilitate spatio-temporal modeling. It does not compromise on rigour, as it presents the underlying theories of Bayesian inference and computation in standalone chapters, which would be appeal those interested in the theoretical details. By avoiding hard core mathematics and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.
Machine Learning And Its Applications
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Author : Georgios Paliouras
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-08-01
Machine Learning And Its Applications written by Georgios Paliouras 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 2001-08-01 with Computers categories.
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.
Earth Observation In Urban Monitoring
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Author : Amit Kumar
language : en
Publisher: Elsevier
Release Date : 2023-11-09
Earth Observation In Urban Monitoring written by Amit Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-09 with Technology & Engineering categories.
Earth Observation in Urban Monitoring: Techniques and Challenges presents the latest techniques of remote sensing in urban monitoring, along with methods for quantitative and qualitative assessment using state-of-the-art Earth observation technologies. The book details the advances of remote sensing technologies in urban environmental monitoring for a range of practical and research applications, Earth observation datasets, remote sensing of environmental considerations, geostatistical techniques and resilience perspectives. Chapters cover sensor applications, urban growth modelling, SAR applications, surveying techniques, satellite time series analysis and a variety of other remote sensing technologies for urban monitoring. Each chapter includes detailed case studies at a variety of scales and from a variety of geographies, offering up-to-date, global, urban monitoring methodologies for researchers, scientists and academics in remote sensing, geospatial research, environmental science and sustainability. - Focuses on a variety of interdisciplinary applications using Earth observation data, GIS and soft computing techniques to address various challenges in urban monitoring - Provides numerous case studies at a variety of scales, from local to global, to aid readers in implementing urban monitoring techniques at any level - Includes theoretical and applied research contributions along with background information on the use of concurrent technologies in the disciplines of urban studies
A Companion To Health And Medical Geography
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Author : Tim Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2009-11-19
A Companion To Health And Medical Geography written by Tim Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-19 with Science categories.
This Companion provides a comprehensive account of health and medical geography and approaches the major themes and key topics from a variety of angles. Offers a unique breadth of topics relating to both health and medical geography Includes contributions from a range of scholars from rising stars to established, internationally renowned authors Provides an up-to-date review of the state of the sub-discipline Thematically organized sections offer detailed accounts of specific issues and combine general overviews of the current literature with case study material Chapters cover topics at the cutting edge of the sub-discipline, including emerging and re-emerging diseases, the politics of disease, mental and emotional health, landscapes of despair, and the geography of care
Quantitative Methods In Environmental And Climate Research
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Author : Michela Cameletti
language : en
Publisher: Springer
Release Date : 2018-12-30
Quantitative Methods In Environmental And Climate Research written by Michela Cameletti and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-30 with Mathematics categories.
This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data.
Hierarchical Modeling And Analysis For Spatial Data
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Author : Sudipto Banerjee
language : en
Publisher: CRC Press
Release Date : 2014-09-12
Hierarchical Modeling And Analysis For Spatial Data written by Sudipto Banerjee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-12 with Mathematics categories.
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
Cases On Ai Innovations In Occupational Health And Safety
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Author : Chadyiwa, Martha
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Cases On Ai Innovations In Occupational Health And Safety written by Chadyiwa, Martha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Business & Economics categories.
Hazards are a significant concern to businesses, including handling heavy or biomedical materials and machine operation. Innovations in occupational health and safety may prevent injuries and accidents and increase the physical health of the employees. Artificial intelligence (AI) tools may increase workplace safety by offering real-time monitoring technologies and safety hazard prediction. Consequently, costs associated with incidents may be decreased and working conditions may improve, enhancing the well-being of employees. Cases on AI Innovations in Occupational Health and Safety explores applications of intelligent technology in the field of occupational health and safety. It provides real-life examples on how risk management and hazard prevention have been reshaped by AI and machine learning technologies. Covering topics such as bio-risk management, long short-term memory (LSTM), and urban informal vendors, this book is an excellent resource for safety policymakers, technology innovators, consultants, safety practitioners, business managers, professionals, researchers, academicians, and more.
Air Pollution Modeling And Its Application Xxii
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Author : Douw G. Steyn
language : en
Publisher: Springer
Release Date : 2013-10-04
Air Pollution Modeling And Its Application Xxii written by Douw G. Steyn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-04 with Science categories.
Recent developments in air pollution modeling and its application are explored here in contributions by researchers at the forefront of their field. The book is focused on local, urban, regional and intercontinental modeling; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation; the relationship between air quality and human health and the interaction between climate change and air quality. The work will provide useful reference material for students and professors interested in air pollution modeling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.