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jiaofan-karina's Projects

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停车场系统源码,停车场小程序,智能停车,Parking system,【功能介绍】:①兼容市面上主流的多家相机,理论上兼容所有硬件,可灵活扩展,②相机识别后数据自动上传到云端并记录,校验相机唯一id和硬件序列号,防止非法数据录入,③用户手机查询停车记录详情可自主缴费(支持微信,支付宝,银行接口支付,支持每个停车场指定不同的商户进行收款),支付后出场在免费时间内会自动抬杆。④支持app上查询附近停车场(导航,可用车位数,停车场费用,优惠券,评分,评论等),可预约车位。⑤断电断网支持岗亭人员使用app可接管硬件进行停车记录的录入。 【技术架构】:后端开发语言java,框架oauth2+springboot2+dubble,数据库mysql/mongodb/redis,即时通讯底层框架netty4,安卓和ios均为原生开发,后台管理模板vue专业定制

aff3ct icon aff3ct

A fast simulator and a library dedicated to the channel coding.

community icon community

基于SpringBoot的学习社区,实现登录注册、发帖评论、点赞私聊、热帖排行等功能

community-1 icon community-1

开源论坛、问答系统,现有功能提问、回复、通知、最新、最热、消除零回复功能。功能持续更新中…… 技术栈 Spring、Spring Boot、MyBatis、MySQL/H2、Bootstrap

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deep-llr-quantization icon deep-llr-quantization

Source code for the "Deep Log-Likelihood Ratio Compression" paper submitted to EUSIPCO 2019

deepcom icon deepcom

[NOT OFFICIAL VERSION] Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317

eblog icon eblog

eblog是一个基于Springboot2.1.2开发的博客学习项目,为了让项目融合更多的知识点,达到学习目的,编写了详细的从0到1开发文档。主要学习包括:自定义Freemarker标签,redis的zset结构完成本周热议排行榜,t-io+websocket完成即时消息通知和群聊,rabbitmq+elasticsearch完成博客内容搜索引擎等。值得学习的地方很多!

eladmin icon eladmin

项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统,项目采用分模块开发方式, 权限控制采用 RBAC,支持数据字典与数据权限管理,支持一键生成前后端代码,支持动态路由

forestblog icon forestblog

一个简单漂亮的SSM(Spring+SpringMVC+Mybatis)博客系统

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果;榜单每周更新一次,敬请关注!

java icon java

All Algorithms implemented in Java

javaguide icon javaguide

「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。

large-scale-fading-decoding icon large-scale-fading-decoding

Simulation code for “Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels,” by Trinh Van Chien, Christopher Mollén, and Emil Björnson, IEEE Transactions on Communications, vol. 67, no. 4, pp. 2746-2762, April 2019.

ldamp_based-channel-estimation icon ldamp_based-channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

low-precision-nnd icon low-precision-nnd

Source code for the paper: "Low-Precision Neural Network Decoding of Polar Codes"

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