We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
Abstract: Diagnosing potential faults is of great importance to ensure reliability of battery management systems. This is because a current or voltage sensor fault often results in an inaccurate state ...
Abstract: The success of convolutional neural networks (CNNs) benefits from the stacking of convolutional layers, which improves the model’s receptive field for image data but also causes a decrease ...
Fundamental, a San-Francisco-based startup that has developed a way to drive predictions from enterprise data, emerged from stealth recently with $255 million in funding. The company has raised a $30 ...