ISE Developer Blog

Automating Receipt Processing

Claiming expenses is usually a manual process. This project aims to improve the efficiency of receipt processing by looking into ways to automate this process.  This code story describes how we created a skeletal framework to achieve the following: We found a few challenges in addressing these goals. For instance, the ...

Classifying Leaks Using Cognitive Toolkit

We use Deep Learning to turn a painful and time-consuming leak-detection task for water and oil pipelines into a fast, painless process. Using Python and Fast Fourier Transforms, we turn audio sensor data into images, then use Convolutional Neural Networks to detect and classify pipeline anomalies.

Data preparation: The Balancing Act

In this code story, we consider how data preparation can impact the performance of a classifier, and how that may lead to a refinement of problem statement, i.e. the important question we are asking.