Your browser does not support the audio element. The results provided in Section 6 allow us to reach several conclusions. First and foremost, as we observed a number ...
Training a neural network means finding millions of parameters that minimize a loss function. The optimizer determines how fast you get there, whether you get there at all, and how well the final ...
Abstract: Gradient-based flux observers are promising for encoderless control of surface-permanent magnet synchronous motors (SPMSMs) for their computational efficiency and adaptability, yet suffer ...
ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...
ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...
An international group of scientists developed a novel dust detection method for PV systems. The new technique is based on deep learning and utilizes an improved version of the adaptive moment ...
The project is over and all main algorithms have were built. Throughout the project, if you see any improvements that could be made in the code, do not hesitate to reach out at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results