Long-range wireless communication technology enables the transfer of sensor data over a long distance while using low-power radios for connectivity. This technology can be leveraged to connect…더 읽어보기 >>

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…더 읽어보기 >>

Interest in predictive maintenance is increasing as more and more companies see it as a key application for data analytics that leverages IoT systems. Branko Dijkstra, a technical consultant at…더 읽어보기 >>

ThingSpeak团队发布了一个更新的版本n of the ThingSpeak Communication Library for Arduino, ESP8266, and ESP32 devices. The ThingSpeak library is the easiest way to get Arduino devices…더 읽어보기 >>

This is a guest post by Diamond Blackwell, ACM-W President at the University of Louisiana at Lafayette.
On Friday, October 26, 2018, the University of Louisiana at Lafayette opened its doors to over…더 읽어보기 >>

Dear friends, we: Louvere Walker-Hannon, an application engineer who assists customers doing deep learning and data analytics, Shruti Karulkar, a quality engineering lead for test and measurement,…더 읽어보기 >>

Libelium makes the Meshlium IoT Gateway that supports commercial IoT systems and sensor applications such as waste management, forest fire detection, potable water monitoring, supply chain…더 읽어보기 >>

We have published an example in the ThingSpeak documentation that shows you how to train a feedforward neural network to predict temperature. The feedforward neural network is one of the…더 읽어보기 >>

The ThingSpeak IoT has been building a new framework to support widgets on channel views. Widgets can be added to the public or private view of a ThingSpeak channel and even be embedded in 3rd-party…더 읽어보기 >>

The ThingSpeak team has integrated the Predictive Maintenance Toolbox for MATLAB into the IoT Analytics features of ThingSpeak. The Predictive Maintenance Toolbox provides tools for labeling data,…더 읽어보기 >>