Accurate classification of fault is important for condition based maintenance (CBM) applications. Two main approaches commonly used for fault classification are model-based and …
Machine learning is a subfield of artificial intelligence (AI). While AI is the ability of the machine to think like humans, machine learning is the ability of machine to learn …
What are `IndexedSlices` and why are they get used in Tensorflow?
Implementing attention mechanisms, multi-head attention, transformer architecture, etc. from scratch in Tensorflow.
Create a data pipeline by incrementally reading thousands of `csv` files using Tensorflow `Sequence`.
Create a data pipeline by incrementally reading thousands of `csv` files in PyTorch.
Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available datasets and …
Feature selection is one of the most important aspects of condition monitoring. The condition or health of a machinery is manifested in the form of changes to its signal features. …
Create a data pipeline by incrementally reading thousands of `csv` files in Tensorflow.
Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available machinery …