Tag: sensor data

A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 ...

The emergence of low-power wide-area networking has fundamentally altered the design space available to Internet of Things engineers over the ...

Researchers at the University of KwaZulu-Natal have developed an algorithm that detects and repairs timestamp-displaced sensor data by exploiting spatial ...

Researchers have introduced a Riemannian manifold-based loss function that pushes multimodal Transformer models to state-of-the-art accuracy in human activity recognition ...

Researchers have built a closed-loop decision-making system that fuses machine learning prediction with operations research optimization to keep Internet of ...

A new machine learning framework combines variational autoencoders with actor-critic deep reinforcement learning to sequentially estimate the remaining useful life ...

Researchers have developed BTFA, a behavioral two-factor authentication model that uses touch gestures and sensor data analyzed by an LSTM ...