Most analog output sensors have general specifications such as linearity (or non-linearity), repeatability, and resolution, as well as environmental specifications like operating temperature or shock ...

Most analog output sensors have general specifications, such as linearity (or non-linearity), repeatability, and resolution, as well as environmental specifications like operating temperature or shock ...

Abstract: This paper presents a new method to compensate thermocouple sensor non-linearity based on orthogonal polynomial basis functions neural network. The artificial neural network module is used ...

Graph neural networks (GNNs) have become the de-facto standard used in many graph learning tasks due to their super empirical performance. Researchers often attribute such success to non-linearity in ...

This paper describes the design and characterisation of a long-range capacitive displacement sensor, NanoSensor® model NXE2. Special emphasis is placed on the design features and metrological ...

Abstract: This paper presents a new method to compensate thermocouple sensor non-linearity based on orthogonal polynomial basis functions neural network. The artificial neural network module is used ...