Tag: Modelling

Free Download Statistical Modelling and Risk Analysis
English | 2023 | ISBN: 3031398637 | 230 Pages | PDF EPUB (True) | 24 MB
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.

Free Download Modelling Scientific Communities
English | 2023 | ISBN: 1009454080 | 94 Pages | PDF (True) | 2 MB
This Element will overview research using models to understand scientific practice. Models are useful for reasoning about groups and processes that are complicated and distributed across time and space, i.e., those that are difficult to study using empirical methods alone. Science fits this picture. For this reason, it is no surprise that researchers have turned to models over the last few decades to study various features of science. The different sections of the element are mostly organized around different modeling approaches. The models described in this element sometimes yield take-aways that are straightforward, and at other times more nuanced. The Element ultimately argues that while these models are epistemically useful, the best way to employ most of them to understand and improve science is in combination with empirical methods and other sorts of theorizing.

Free Download Mathematical Modelling and Computing in Physics, Chemistry and Biology: Fundamentals and Applications
English | 2023 | ISBN: 3031399846 | 547 Pages | PDF EPUB (True) | 71 MB
This book keeps an eye in the direction of applications of advanced and high performance scientific computing in describing the behavior of natural and constructed systems, e.g. chaos, bifurcation, fractal, Lyapunov exponent, period doubling, Poincaré map, strange attractor etc. With the aid of powerful computers the modem theory of chaos and its geometry, the fractals, and attractors are developed. The concepts of object oriented computing are introduced early in the text and steadily expanded as one progresses through the chapters. The beginning of each chapter is of an introductory nature, followed by practical applications, the discussion of numerical results, theoretical investigations on nonlinear stability and convergence.

Free Download Data Modelling and Analytics for the Internet of Medical Things
English | 2024 | ISBN: 1032414235 | 329 Pages | PDF (True) | 38 MB
The emergence of the Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare costs and errors. This book covers all the essential aspects of IoMT in one place, providing readers with a comprehensive grasp of IoMT and related technologies.

Free Download Analytical modelling and applications
English | 2022 | ISBN: n/a | 405 Pages | PDF (True) | 32 MB

Free Download Statistical Modelling of Occupant Behaviour
by Jan Kloppenborg Møller
English | 2023 | ISBN: 1032334606 | 383 pages | True PDF | 15.68 MB

Free Download Functionally Graded Structures: Modelling and computation of static and dynamical problems
by Snehashish Chakraverty, Subrat Kumar Jena, Ömer Civalek
English | 2023 | ISBN: 075035299X | 312 pages | True PDF EPUB | 70.13 MB

Free Download Quantum Decision Theory and Complexity Modelling in Economics and Public Policy
English | 2023 | ISBN: 3031388321 | 428 Pages | PDF EPUB (True) | 33 MB
This book is an outcome of the interdisciplinary conference held at OP Jindal Global University (Quantum Decision-making and Complexity modeling, and their possible applications in social sciences－ economics, finance and public policy). The volume builds upon the emerging fields of Econophysics, Complexity theory and Quantum like modelling in cognition and social sciences, and their plausible applications in economics and public policy. There can be deep linkages between the micro, meso and macro scales at which these paradigms operate. In this data-driven age, greater amounts of information, along with the facility to harvest, sort and process said information, have permitted an expansion of the capability to study a society’s various factors to a degree of detail and inclusiveness that has never before been available to researchers. As a result, an increasing number of throughlines is being discovered, revealing heretofore unknown connections between various disciplines and enhancing the study of such societal tropes as finance, language, shared behavior, and many others. As the reader will see, with clearer understanding of the interconnectedness of society’s assorted parts comes a clearer understanding of the society as a whole. We have received critical thoughts from noted experts in social and natural sciences to explore possible interconnections. The editors of this book earnestly hope that the critical reviews presented in this volume will stimulate further scholarly interest, but also interest among policy practitioners for the purpose of exploring possibilities for creating a new paradigm for comprehending pressing issues of deep uncertainty and emergence in social dynamics.

Free Download New Paradigms in Flow Battery Modelling
English | 2023 | ISBN: 9819925231 | 689 Pages | PDF EPUB (True) | 53 MB
This book provides a comprehensive review of the latest modelling developments in flow batteries, as well as some new results and insights. Flow batteries have long been considered the most flexible answer to grid scale energy storage, and modelling is a key component in their development. Recent modelling has moved beyond macroscopic methods, towards mesoscopic and smaller scales to select materials and design components. This is important for both fundamental understanding and the design of new electrode, catalyst and electrolyte materials. There has also been a recent explosion in interest in machine learning for electrochemical energy technologies. The scope of the book includes these latest developments and is focused on advanced techniques, rather than traditional modelling paradigms. The aim of this book is to introduce these concepts and methods to flow battery researcher, but the book would have a much broader appeal since these methods also employed in other battery and fuel cell systems and far beyond. The methods will be described in detail (necessary fundamental material in Appendices). The book appeals to graduate students and researchers in academia/industry working in electrochemical systems, or those working in computational chemistry/machine learning wishing to seek new application areas.

Free Download Jerry Scutts, "Modelling Postwar Tanks"
English | 2000 | pages: 66 | ISBN: 1841761389 | PDF | 18,4 mb
Since WWII tanks have proved themselves in every conflict – Korea, Vietnam, Afghanistan, the Gulf, the Arab-Israeli wars. This book concentrates on how to model accurately not just postwar technical developments but also changing tactical uses.