Analyze and Visualize Air Quality Data with MATLAB
https://blogs.mathworks.com/iot/2019/07/16/analyze-and-visualize-air-quality-data-with-matlab/
https://blogs.mathworks.com/iot/2019/07/16/analyze-and-visualize-air-quality-data-with-matlab/
Hans on IoT
Analyze and Visualize Air Quality Data with MATLAB
Have you ever wondered if the air around you is healthy? It is possible to understand air quality by using MATLAB to analyze air quality data collected by an air quality sensor on ThingSpeak.
What is
What is
#FileExchange #UpdateRecently
Gyroboy - self-balancing two-wheel robot based on Lego EV3
https://ift.tt/2Gf35ID
Gyroboy - self-balancing two-wheel robot based on Lego EV3
https://ift.tt/2Gf35ID
ww2.mathworks.cn
Gyroboy - self-balancing two-wheel robot based on Lego EV3 - File Exchange - MATLAB Central
Model of EV3 segway robot with LQR controller. Could be run on hardware (EV3)
#FileExchange #UpdateRecently
Thingspeak to esp 8266 led on off anywhere in the world
https://ift.tt/32uVxLh
Thingspeak to esp 8266 led on off anywhere in the world
https://ift.tt/32uVxLh
ww2.mathworks.cn
Thingspeak to esp 8266 led on off anywhere in the world - File Exchange - MATLAB Central
matlab thingspeak server to control led
#FileExchange #UpdateRecently
Data Science: Predict Damage Costs of Weather Events
https://ift.tt/30OFiXV
Data Science: Predict Damage Costs of Weather Events
https://ift.tt/30OFiXV
ww2.mathworks.cn
Data Science: Predict Damage Costs of Weather Events - File Exchange - MATLAB Central
Use machine learning to predict the damage costs of various storm events based on location, time of year, and type of event
#FileExchange File Exchange Pick of the Week: Generate Code for All the Things?
https://ift.tt/2xSIdlQ
https://ift.tt/2xSIdlQ
File Exchange Pick of the Week
Generate Code for All the Things?
Greg's pick this week is A short introduction on using model based design approach in Embedded System by TAB.
Imagine a quiet summer evening at the beach. There's a warm fire crackling in the cool offshore breeze, and everyone is sitting around enjoying…
Imagine a quiet summer evening at the beach. There's a warm fire crackling in the cool offshore breeze, and everyone is sitting around enjoying…
#FileExchange #UpdateRecently
Deep Learning for Defect Detection on Raspberry Pi
https://ift.tt/2QBjr0P
Deep Learning for Defect Detection on Raspberry Pi
https://ift.tt/2QBjr0P
ww2.mathworks.cn
Deep Learning for Defect Detection on Raspberry Pi - File Exchange - MATLAB Central
How to create, train simple network, integrate it into pre/post image processing and generate C code to run it on Raspberry Pi
#Tips 接下来分享一下，如何通过MATLAB爬取动态网页。
两年前我写过一篇帖子，主题大概是MATLAB不适合爬动态网页，只怪当初年少无知，今天要啪啪打脸了
对于像知识星球这样的网页，直接右键查看源代码，是找不到任何你需要的网页信息的，这就是动态网页有别于静态网页的地方。
不过，当你在谷歌浏览器中使用F12按钮时，就能在Network中的XHR找到对应网页的Request URL
之后，在MATLAB就是常规操作了，通过webread去读取Request URL，就可以爬取所需的信息。
对于知识星球，稍有不同的是，需要cookie的模拟登陆，这一步并不难，在谷歌浏览器中“查看所有Cookie和网站数据“，通过搜索知识星球的关键词，是能够找到对应的Cookie的。
上述关于知识星球的爬虫，在网上能找到很多相关的帖子，不过都是通过Python实现的。
MATLAB处理的方式比较类似，使用weboptions去配置HeaderFields，然后通过webread去读取网页
option = weboptions('RequestMethod','auto','HeaderFields',{'User-Agent',User_Agent;'cookie',cookie;'Referer',Referer});
content = webread(url,option);
source: https://zhuanlan.zhihu.com/p/74577062
两年前我写过一篇帖子，主题大概是MATLAB不适合爬动态网页，只怪当初年少无知，今天要啪啪打脸了
对于像知识星球这样的网页，直接右键查看源代码，是找不到任何你需要的网页信息的，这就是动态网页有别于静态网页的地方。
不过，当你在谷歌浏览器中使用F12按钮时，就能在Network中的XHR找到对应网页的Request URL
之后，在MATLAB就是常规操作了，通过webread去读取Request URL，就可以爬取所需的信息。
对于知识星球，稍有不同的是，需要cookie的模拟登陆，这一步并不难，在谷歌浏览器中“查看所有Cookie和网站数据“，通过搜索知识星球的关键词，是能够找到对应的Cookie的。
上述关于知识星球的爬虫，在网上能找到很多相关的帖子，不过都是通过Python实现的。
MATLAB处理的方式比较类似，使用weboptions去配置HeaderFields，然后通过webread去读取网页
option = weboptions('RequestMethod','auto','HeaderFields',{'User-Agent',User_Agent;'cookie',cookie;'Referer',Referer});
content = webread(url,option);
source: https://zhuanlan.zhihu.com/p/74577062
知乎专栏
北科的朋友，就是优秀！
公众号里有一位朋友，给我留下非常深刻的印象，他是北京科技大学的学生。这位朋友关注我的公众号比较早，有两年多了，不过我真正认识他，还是在他加入知识星球之后。之所以说印象深刻，是因为这位朋友喜欢爬虫，什…