We propose the following improvements for the complete coverage path planning (CCPP) of putty spraying robots as well as the under-performance of path planning by biologically inspired neural networks ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

The performance of UHPC-CA was predicted in this paper based on five prediction models: multiple linear regression, multiple nonlinear regression, traditional neural network (T-BP), principal ...

The comparison results with other models show that the Variational Autoencoder neural network provides the best overall performance with a higher detection accuracy and a reasonable false positive ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...