爱思唯尔旗下的Credit Author Statement模板 论文已正式出版~ 相关博客：https://blog.csdn.net/qq_39763246/article/details/126797385

Create visually appealing and feature-rich applications by using Qt 5 and the C++ language Qt 5, the latest version of Qt, enables you to develop applications with complex user interfaces for multiple targets. It provides you with faster and smarter ways to create modern UIs and applications for multiple platforms. This book will teach you to design and build graphical user interfaces that are functional, appealing, and user-friendly. In the initial part of the book, you will learn what Qt 5 is and what you can do with it. You will explore the Qt Designer, discover the different types of widgets generally used in Qt 5, and then connect your application to the database to perform dynamic operations. Next, you will be introduced to Qt 5 chart which allows you to easily render different types of graphs and charts and incorporate List View Widgets in your application. You will also work with various Qt modules, like QtLocation, QtWebEngine, and the networking module through the course of the book. Finally, we will focus on cross-platform development with QT 5 that enables you to code once and run it everywhere, including mobile platforms. By the end of this book, you will have successfully learned about high-end GUI applications and will be capable of building many more powerful, cross-platform applications. What You Will Learn Implement tools provided by Qt 5 to design a beautiful GUI Understand different types of graphs and charts supported by Qt 5 Create a web browser using the Qt 5 WebEngine module and web view widget Connect to the MySQL database and display data obtained from it onto the Qt 5 GUI Incorporate the Qt 5 multimedia and networking module in your application Develop Google Map-like applications using Qt 5’s location module Discover cross-platform development by exporting the Qt 5 application to different platforms Uncover the secrets behind debugging Qt 5 and C++ applications

国外教材 作者 Michale T.Goodrich 算法分析与设计 课后习题答案

ScholarOne-Manuscripts-Author-Guide翻译本

个人的期末作业 Authorware作品 得分90分 共3个压缩文件

合作者_link_prediction_V1 这是一个python代码，用于在两个公共可用的cauthorship网络数据集中实施链接预测： 1-ArnetMiner 2dblp 每个cauthorship网络均以图表形式显示。 该图是使用R代码运行network_graph_similarity.R脚本生成的，该脚本还会在网络中的每个两个顶点/节点之间生成一些相似性特征。 除了从作者网络中提取的其他功能以外，这些功能还用于训练进行链接预测的机器学习分类器。 有关此链接预测方法和使用此代码的更多信息，请引用以下文章： 多阿·哈桑（Doaa Hassan）。 “基于研究绩效以及研究兴趣和隶属关系的相似性的共同作者网络中的监督链接预测”。 在国际机器学习与控制论会议论文集（ICMLC 2019）中，日本神户，2019年7月。

提高含INU和噪声的MR脑图像分割的分割精度。 实施了带有偏差校正的空间 FCM 方法，该方法结合了偏差和噪声的校正。

windows kernel programming编程作者开源的一些工具，github下载慢。

基于国家标准 GB/T 7714-2015 《文后参考文献著录规则》编制的 EndNote 输出样式模板。

Endnote 文后参考文献 的国标GB/T 7714-2005的style文件，方便endnote与office word的交互。