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… 続きを読む >>

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… 続きを読む >>

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… 続きを読む >>

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,… 続きを読む >>

I am excited to announce a number of new features that are available to all ThingSpeak users. We added the ability for ThingSpeak channels to be organized by tags. ThingSpeak channels have a… 続きを読む >>

As most of you know I love building IoT projects. Most of these maker projects use an Arduino, Particle, or Raspberry Pi, like my IR color-changing robot that connects to ThingSpeak and the… 続きを読む >>

Join the MathWorks and ThingSpeak IoT team at the MIT Connected Things 2018 conference held at the MIT Media Lab on April 5, 2018. MathWorks is proud to be a sponsor for a second year and we are… 続きを読む >>

Douglas Mawrey created a Smart Humidity Sensor using ThingSpeak to collect data, MATLAB to analyze the data, and IFTTT to send push notifications for certain conditions. This project uses the outdoor… 続きを読む >>

Social media is blowing up the term bomb cyclone. The term is everywhere from Twitter to 24/7 news coverage of the storm hitting the East Coast of the United States. The technical term for a bomb… 続きを読む >>

ThingSpeak has APIs for collecting data produced by sensors and APIs for reading that data from applications. Think of an IoT project as two parts. One part of the project is where you need to… 続きを読む >>