Global Burden of Disease and Risk Factors

Global Burden of Disease and Risk Factors

Author: Alan D. Lopez

Publisher: World Bank Publications

Published: 2006-04-02

Total Pages: 511

ISBN-13: 0821362631

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Strategic health planning, the cornerstone of initiatives designed to achieve health improvement goals around the world, requires an understanding of the comparative burden of diseases and injuries, their corresponding risk factors and the likely effects of invervention options. The Global Burden of Disease framework, originally published in 1990, has been widely adopted as the preferred method for health accounting and has become the standard to guide the setting of health research priorities. This publication sets out an updated assessment of the situation, with an analysis of trends observed since 1990 and a chapter on the sensitivity of GBD estimates to various sources of uncertainty in methods and data.


Information Processing in Medical Imaging

Information Processing in Medical Imaging

Author: Michael F. Insana

Publisher: Springer

Published: 2003-06-29

Total Pages: 553

ISBN-13: 3540457291

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This book constitutes the refereed proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI 2001, held in Davis, CA, USA, in June 2001. The 54 revised papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.


The VR Book

The VR Book

Author: Jason Jerald

Publisher: Morgan & Claypool

Published: 2015-09-01

Total Pages: 637

ISBN-13: 1970001135

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This is a strong foundation of human-centric virtual reality design for anyone and everyone involved in creating VR experiences. Without a clear understanding of the human side of virtual reality (VR), the experience will always fail. The VR Book bridges this gap by focusing on human-centered design. Creating compelling VR applications is an incredibly complex challenge. When done well, these experiences can be brilliant and pleasurable, but when done badly, they can result in frustration and sickness. Whereas limitations of technology can cause bad VR execution, problems are oftentimes caused by a lack of understanding human perception, interaction, design principles, and real users. This book focuses on the human elements of VR, such as how users perceive and intuitively interact with various forms of reality, causes of VR sickness, creating useful and pleasing content, and how to design and iterate upon effective VR applications. This book is not just for VR designers, it is for managers, programmers, artists, psychologists, engineers, students, educators, and user experience professionals. It is for the entire VR team, as everyone contributing should understand at least the basics of the many aspects of VR design. The industry is rapidly evolving, and The VR Book stresses the importance of building prototypes, gathering feedback, and using adjustable processes to efficiently iterate towards success. It contains extensive details on the most important aspects of VR, more than 600 applicable guidelines, and over 300 additional references.


Introduction to Deep Learning

Introduction to Deep Learning

Author: Sandro Skansi

Publisher: Springer

Published: 2018-02-04

Total Pages: 196

ISBN-13: 3319730045

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This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website. Topics and features: introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning; discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network; examines convolutional neural networks, and the recurrent connections to a feed-forward neural network; describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning; presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism. This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology.


Proceedings of the European Computing Conference

Proceedings of the European Computing Conference

Author: Nikos Mastorakis

Publisher: Springer Science & Business Media

Published: 2010-03-16

Total Pages: 789

ISBN-13: 0387848142

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The European Computing Conference offers a unique forum for establishing new collaborations within present or upcoming research projects, exchanging useful ideas, presenting recent research results, participating in discussions and establishing new academic collaborations, linking university with the industry. Engineers and Scientists working on various areas of Systems Theory, Applied Mathematics, Simulation, Numerical and Computational Methods and Parallel Computing present the latest findings, advances, and current trends on a wide range of topics. This proceedings volume will be of interest to students, researchers, and practicing engineers.


Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

Author: Jean-Jacques Rousseau

Publisher: Springer Nature

Published: 2023-08-09

Total Pages: 652

ISBN-13: 3031377311

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This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.