The convergence of advanced sensors and AI models enables smart factories to process data at the Edge, optimising real-time decision-making ...

Whether it be smartphones, wearables, virtual reality headsets, or even robotic vacuum cleaners, today’s users expect and demand such devices to consistently behave as commanded, to smoothly and ...

There are real costs associated with fusing data from multiple sources. Costs can include legal fees to review data use agreements or negotiate data use terms, the cost to maintain and recalibrate ...

Sensors are increasingly important in mobile devices. Combining data from cameras, microphones, inertial sensors, beacons (e.g., GPS) and proximity-based sensors can greatly improve the accuracy and ...

Sensor networks are highly distributed networks of small, lightweight wireless nodes, deployed in large numbers to monitor the environment or system by the measurement of physical parameters such as ...

What are the database management system (DBMS) requirements for complex real-time sensor data fusion? What application modifications are needed if a DBMS isn’t being used? Different definitions of ...