Datamodellering og simulering

Videregående kvantitative metoder behandler avancerede emner inden for statistisk modellering af samfundsvidenskabelige fænomener primært med udgangspunkt i data på individniveau. Emnerne i de enkelte kapitler er udvalgte, så de er dækkende for de typer af data, som man oftest vil støde på i samfundsvidenskaberne.De teoretiske overvejelser i kapitlerne illustreres af grundige empiriske illustrationer fra det sociologiske, politologiske, økonomiske eller socialmedicinske område. Vægten er således lagt på anvendelsen af teorien og vil sætte læseren i stand til trinvist at løse et givet modelleringsproblem. Videregående kvantitative metoder henvender sig særligt til samfundsvidenskabelige forskere, master- og ph.d.-studerende, som med baggrund i en viden om elementær statistik har brug for at opruste sig på avancerede emner inden for området, men kan også anvendes af bachelorstuderende, som følger kvantitative fag, der ligger ud over basal kvantitativ metode.

The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figures, provides a ground to reason about growing trends and its future trajectory. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations. Moreover, since COVID-19 spread outburst has been twice, the intensity studies and comparative analysis of the two waves of COVID-19 are another interesting feature of the book content. The book is a knowledge base for various researchers and academicians to dive into the detailing of the COVID spread (mathematical) model and understand how it could be explored to draw outcomes. To represent the factual information and analytical results effectively, graphical and diagrammatic representations have been appended at appropriate places. To keep the explanation simple and yet concrete, mathematical concepts have also been introduced; to carry out analysis to generate results for understanding the viral dynamics.

This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints.  Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

The conference proceeding of ICMMCS 2021 presents most recent scientific and technological advances in the fields of engineering mathematics and computational science to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29-30, 2021. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT).

Gathering the proceedings of the 14th CHAOS2021 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences.The respective chapters address key methods, empirical data and computer techniques, as well as major theoretical advances in the applied nonlinear field. Beyond showcasing the state of the art, the book will help academic and industrial researchers alike apply chaotic theory in their studies.Chapter "e;On the Origin of the Universe: Chaos or Cosmos"e; is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

This book describes a unique combination of quantum chemical methods for calculating the basic physical properties of luminescent materials, or phosphors. These solid inorganic materials containing an optically active dopant are key players in several major fields of societal interest, including energy-efficient lighting, solar cells, and medical imaging. The novel ab initio methods described in this book are especially designed to target the crowded and complex electronic excited states of lanthanide activators in inorganic solids. The book is well suited to both new and experienced researchers alike and appeals to a broad range of theoretical and experimental backgrounds. The material presented enables an adept understanding of elaborate calculations, which, in tandem with experiments, give essential insight into difficult luminescence problems and quandaries, thus fully preparing the reader for an educated search for new functional luminescent materials

This book is a collection of papers compiled from the conference "e;Algorithms and Computer-Based Solutions"e; held on June 8-9, 2021 at Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia. The authors of the book are leading scientists from Russia, Germany, Netherlands, Greece, Hungary, Kazakhstan, Portugal, and Poland.The reader finds in the book information from experts on the most interesting trends in digitalization - issues of development and implementation of algorithms, IT and digital solutions for various areas of economy and science, prospects for supercomputers and exo-intelligent platforms; applied computer technologies in digital production, healthcare and biomedical systems, digital medicine, logistics and management; digital technologies for visualization and prototyping of physical objects.The book helps the reader to increase his or her expertise in the field of computer technologies discussed.

Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activationlinking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them.You'll learn:How Google Cloud integrates with GA4The potential use cases that GA4 integrations can enableSkills and resources needed to create GA4 integrationsHow much GA4 data capture is necessary to enable use casesThe process of designing dataflows from strategy though data storage, modeling, and activation

This book contains the proceedings of the Second International Workshop on Languages, Methodologies and Development Tools for Multi-agent Systems (LADS 2009), which took place during September 7-9, 2009 in Turin, Italy. As in its 2007 edition, this workshop was a part of MALLOW, a federation of workshops on Multi-Agent Logics, Languages, and Organizations. The LADS 2009 workshop addressed both theoretical and practical issues related to developing and deploying multi-agent systems. It constituted a rich forum where leading researchers from both academia and industry could share their experiencesonformalapproaches,programminglanguages,methodologies, tools andtechniques supporting the developmentanddeploymentof multi-agent systems.Fromatheoreticalpointofview,LADS2009aimedataddressingissues related to theories, methodologies, models and approaches that are needed to facilitate the development of multi-agent systems ensuring their predictability andveri?cation.Formaldeclarativemodelsandapproacheshavethe potentialof o?ering solutions for the speci?cation and design of multi-agent systems. From a practical point of view, LADS 2009 aimed at stimulating research and d- cussion on how multi-agent system speci?cations and designs can be e?ectively implemented and tested. This book is the result of a strict selection and review process. From 14 papers originally submitted to LADS 2009, and after 2 rounds of reviews, we selected 10 high-quality papers covering important topics related to multi-agent programming technology, such as: agent architectures, programming languages andmethodologies,socialinteractionmodels,developmenttoolsandapplications of multi-agent systems.

This book is a collection of papers presented at the Forum ¿The Impact of Applications on Mathematics¿ in October 2013. It describes an appropriate framework in which to highlight how real-world problems, over the centuries and today, have influenced and are influencing the development of mathematics and thereby, how mathematics is reshaped, in order to advance mathematics and its application. The contents of this book address productive and successful interaction between industry and mathematicians, as well as the cross-fertilization and collaboration that result when mathematics is involved with the advancement of science and technology.