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Deep Learning for Fluid Simulation and Animation
This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost. This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of more traditional areas of mathematical modeling – about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed. The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.
III Simpósio Internacional de Abordagens Qualitativas nas Pesquisas em Humanidades e VII Seminário de Pesquisas em Ensino de Humanidades (Sehum)
A publicação e leitura desses Anais registram as potências e qualidades histórica, dialética, rizomaticamente construídas e sempre em processo de consolidação e mudanças em percursos colaborativos implementados pelos autores dessas pesquisas e por tantos outros educadores que integram a comunidade acadêmica em favor do ensino das humanidades.
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Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context
Post COVID-19 pandemic, researchers have been evaluating the healthcare system for improvements that can be made. Understanding global healthcare systems’ operations is essential to preventative measures to be taken for the next global health crisis. A key part to bettering healthcare is the implementation of information management and One Health. The Handbook of Research on Essential Information Approaches to Aiding Global Health in the One Health Context evaluates the concepts in global health and the application of essential information management in healthcare organizational strategic contexts. This text promotes understanding in how evaluation health and information management are decisive for health planning, management, and implementation of the One Health concept. Covering topics like development partnerships, global health, and the nature of pandemics, this text is essential for health administrators, policymakers, government officials, public health officials, information systems experts, data scientists, analysts, health information science and global health scholars, researchers, practitioners, doctors, students, and academicians.
Data Cleaning
This is an overview of the end-to-end data cleaning process. Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors i...
Coletânea Internacional de Pesquisa em Administração e Negócios Vol.01
Temos o prazer de lançar o primeiro livro da coletânea voltada às Ciências Sociais Aplicadas, intitulado Coletânea internacional de pesquisa em administração e negócios V. 01, essa obra é editada pela Seven Publicações Ltda, tendo a composição de 13 capítulos voltados ao desenvolvimento e disseminação do conhecimento nas áreas de administração e negócios.
