当前位置:网站首页>2019.10.6训练总结
2019.10.6训练总结
2022-06-29 09:17:00 【叶卡捷琳娜2号】
前两天看了后缀自动机,掌握的还不太好,还需要再看看。这一周做了20多个题感觉稍微有点少,得再稍微加点量。从上周三到这周三感觉周四到周末的做题时间相对多一些。所以计划周四到周末多做一些题,周一到周三以学习知识和看题为主,但每天必须得保证做题。最近做题还没遇到能卡住的题,还算顺畅。
边栏推荐
- LiferayPortal JSONWS反序列化漏洞(CVE-2020-7961)分析
- Segmentation of Head and Neck Tumours Using Modified U-net
- Mysql5.7 installation tutorial in centos7 under Linux
- Leetcode MySQL database topic 181
- JVM之TLAB
- IPC(进程间通信)之管道详解
- Causes and solutions of error reporting by using startactivity() method outside the activity
- Application of decorator mode, packaging ServletRequest and adding addparameter method
- 367. effective complete square dichotomy
- RecyclerView 通用适配器封装
猜你喜欢

ORA-01950 对表空间无权限

GridView of basic component of shutter

Segmentation of Head and Neck Tumours Using Modified U-net

A 2.5D Cancer Segmentation for MRI Images Based on U-Net

Binding mechanism of JVM methods

Automatic 3D Detection and Segmentation of Head and Neck Cancer from MRI Data.

Do you know what BFD is? This article explains the principle and usage scenarios of BFD protocol in detail

JVM之虚拟机栈之动态链接

阿里云防火墙配置,多种设置方式(iptables和fireward)

遍历vector容器中的对象的方式
随机推荐
数据库常见面试题(附答案)
Gmail: how to quickly read all messages
数据源连接池未关闭的问题 Could not open JDBC Connection for transaction
完美二叉树、完全二叉树、完满二叉树
The collapsing "2.3 * 10 = 22" produced by multiplying float and int
leetcode MYSQL数据库题目181
语言特性
2019.11.13训练总结
cenos7下搭建LAMP环境
gSoap例子——calc
自定义mvc框架实现
Deep Learning-based Automated Delineation of Head and Neck Malignant Lesions from PET Images
Language characteristics
Gross Tumor Volume Segmentation for Head and Neck Cancer Radiotherapy using Deep Dense Multi-modalit
Flutter 基础组件之 Image
Segmentation of Head and Neck Tumours Using Modified U-net
Flutter 基础组件之 Text
GSOAP example - calc
2019.10.30学习总结
A 3D Dual Path U-Net of Cancer Segmentation Based on MRI