Siemens X-ray detectors in healthcare and their applications

Willi A. Kalender, 西门子工作16年，有大量的CT临床应用。

learn machine with R, this book rocks, check it out.

Graph Neural Networks: Methods, Applications, and Opportunities 在过去十年左右的时间里，我们见证了深度学习重振机器学习领域。它以最先进的性能解决了计算机视觉、语音识别、自然语言处理和各种其他任务领域的许多问题。数据通常在这些域中的欧几里得空间中表示。各种其他域符合非欧几里得空间，图是其中的理想表示。图适用于表示各种实体之间的依赖关系和相互关系。传统上，图形的手工特征无法从这种复杂的数据表示中为各种任务提供必要的推理。最近，出现了利用深度学习中的各种进步来绘制基于数据的任务的趋势。本文对每个学习设置中的图神经网络 (GNN) 进行了全面调查：监督学习、无监督学习、半监督学习和自监督学习。每个基于图的学习设置的分类都提供了属于给定学习设置的方法的逻辑划分。从理论和经验的角度分析每个学习任务的方法。此外，我们提供了构建 GNN 的通用架构指南。还提供了各种应用程序和基准数据集，以及仍然困扰 GNN 普遍适用性的开放挑战。

computer vision:algorithm and applications written by Richard

A2L/ASAP2文件标准协议说明

Discrete Mathematics and Its Applications Eighth Edition Kenneth H. Rosen Copyright 2019 McGraw-Hill Education

Designing Data-Intensive Applications。英文原版，完整高清，带书签。本书概括和总结了数据系统，分布式或非分布式环境下面临的本质问题，和解决方案的分类。

Time series analysis and its applications with R examples 时间序列分析及R应用

Elasticity is concerned with determining the strength and load carrying ability of engineering structures including buildings, bridges, cars, planes, and thousands of machine parts that most of us never see. It is especially important in the fields of mechanical, civil, aeronautical and materials engineering. Elasticity: Theory, Applications and Numerics 2e provides a concise and organized presentation and development of the theory of elasticity, moving from solution methodologies, formulations and strategies into applications of contemporary interest, including fracture mechanics, anisotropic/composite materials, micromechanics and computational methods. Developed as a text for a one or two-semester graduate elasticity course, this new edition is the only elasticity text to provide coverage in the new area of non-homogenous, or graded, materal behavior. End of chapter exercises throughout the book are fully incorporated with the use of MATLAB software. Key Features: * Provides a thorough yet concise introduction to general elastic theory and behavior * Demonstrates numerous applications in areas of contemporary interest including fracture mechanics, anisotropic/composite and graded materials, micromechanics, and computational methods * The only current elasticity text to incorporate MATLAB into its extensive end-of-chapter exercises * The book's organization makes it well-suited for a one or two semester course in elastictiy Features New to the Second Edition: * First elasticity text to offer a chapter on non-homogenous, or graded, material behavior * New appendix on review of undergraduate mechanics of materials theory to make the text more self-contained * 355 end of chapter exercises - 30% NEW to this edition