Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...

Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...

Co-clustering algorithms and models represent a robust framework for the simultaneous partitioning of the rows and columns in a data matrix. This dual clustering approach, often termed block ...

A simple algorithm to aid in the selection of appropriate disease modifying therapies (DMTs) reduces racial disparities in patients with relapsing multiple sclerosis (MS), early new research showed.

"wrapper.py" is the script that runs the tracking algorithm with the desired input and output directories and parameter choices. This should be the only Python file you need to modify. Relevant ...

This is a paper dealing with truncation and censored data in the insurance agency. We go over Maximum Likelihood Estimation and the EM Algorithm for censored exponential data.

Abstract: Existing data mining techniques, more particularly iterative learning algorithms, become overwhelmed with big data. While parallelism is an obvious and, usually, necessary strategy, we ...