Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

Some studies have shown that machine learning-based forecast systems can predict general weather patterns as well as numerical weather prediction models while using only a fraction of the ...

Today the industries are focusing towards smart and efficient technologies like $\text{IoT}$ and Machine Learning to solve these real-life problems. In this paper sensor-based system to predict air ...

Researchers also are embedding machine learning within numerical weather prediction models to speed up tasks that can be intensive to compute, such as predicting how water vapor gets converted to ...

The hardware comprises two boards, one of which is the ESP8266 for wireless connectivity to the internet, while the other utilizes an Arduino microcontroller with additional sensors to track soil ...

Dr. Hua-Liang Wei, Senior Lecturer (Associate Professor) with CSSP and Co-I of the three-year NERC project, is a well-known expert in nonlinear system identification and interpretable machine learning ...

Machine Learning: Utilizes a decision tree algorithm for asthma risk predictions. Web Server: NodeMCU serves live data to a web interface. GUI Interface: User-friendly interface to input and analyze ...

Machine learning algorithms have vastly improved the precision of weather forecasts. These algorithms analyze massive ...

I’m glad the article was useful to you. I guess it was useful to me, because I’ll never ever even try to run a DNN on an Arduino. If an 128 parameter network took 6ms, then it’ll never run ...