Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Although AI and machine learning (ML) algorithms are getting ever better at doing more with less, we still often need to bring together data from multiple sources for them to produce results that ...

Various fiber sensors are discussed based on their working principles and dimensions, and an overview of the machine learning algorithms that have been applied with these fiber sensors is presented.

Liquid metal sensors and AI could help prosthetic hands to 'feel' Study first to use liquid metal sensors and machine learning on a prosthetic hand Date: July 14, 2021 Source: Florida Atlantic ...

Soft sensors can be used to estimate these values when there are not enough personnel to take the measurements. Redundant sensor. In harsh environments, sensor fouling is normal. A soft sensor can ...

Sensor data is sent, often wirelessly, to an edge computing device—such Banner Engineering’s DXM Wireless Gateway/Controller (Fig. 1), which uses a vibration monitoring-specific machine ...

Strategies for building reliability into chips and systems are beginning to shift as more sensors are added into these devices and machine learning is applied to that data. In the past, system ...

The paper is published in the journal Advanced Devices & Instrumentation.. After having a general understanding of machine learning algorithms, this article classifies and summarizes fiber sensors ...