read-4chan_M

有的科技图书会附有索引，其中列出书中重要术语出现的页码，便于读者查看。试设计一个类似的程序。输入是一个英文文本文件，输出是文件中关键字及其出现的行号的列表并按照关键字有序排列。程序运行方式：>index inputfile keys outputflie (Some books will be accompanied by technology index, which lists important terms appear in the book pages, easy to readers to view. Try to design a similar procedure. English text input is a file, the output is a file that appears in the keywords and their line numbers list and ordered according to keywords. Program run mode:> index inputfile keys outputflie)

以“带行逻辑链接信息”的三元组表作为稀疏矩阵的存储结构；实现两个矩阵相加、相减、相乘运算；运算结果以阵列形式输出。-Sparse matrix computation

SRCNN超分辨率重构的matlab应用(Matlab application of SRCNN super-resolution reconstruction)

说明：  一篇硕士论文，详细介绍了利用粒子滤波在无线传感器网络目标跟踪中的应用 基于粒子滤波的无线传感器网络目标跟踪算法的研究(A master' s thesis, detailing the use of particle filtering in wireless sensor network application of target tracking based on particle filtering for wireless sensor network target tracking algorithm)

another type of ppt format

各个事件哪来的看好你过来三个还是自己汇总表(Various events sldsa dkhskc vuia usi dhvfsd jkfwe fdsb)

python提取abaqus后处理指定集合的信息（位移和应力）(Python extracts the information (displacement and stress) of the specified set after ABAQUS processing)

利用ansys APDL语言编写的输电塔有限元模型，可以用于输电塔动力分析(The finite element model of transmission tower, written in ANSYS APDL language, can be used for power analysis of transmission tower)

我学着用matlab编写的用来解最优化问题的fabonacci程序-I learned to use Matlab prepared by the optimal solution to the problem fabonacci procedures

利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply convolutional neural network to image classification. We start training data sets from scratch. In addition, a pre-trained VGG16 abd ResNet50 is used for migration learning.)