Unless you worked for Ford’s plastics, paint and vinyls division in the 1980s, you probably don’t know the name Jim Moylan. But you might well know the idea that made this unknown engineer who ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in bioinformatics. Once primarily regarded as a mathematical ...

Researchers at the University of California San Diego have developed a simple yet powerful method to characterize lithium metal battery performance with the help of a widely used imaging tool: ...

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 ...

For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...

MINNEAPOLIS – A simple treatment algorithm may help reduce treatment disparities for Hispanic and Black people with multiple sclerosis (MS), according to a preliminary study released today, March 3, ...

Biden also set January 9 as a National Day of Mourning throughout the United States. In remarks this evening, Biden paid tribute to his “great friend” and predecessor in the White House, as a man of ...

This is an R implementation of the Baum-Welch algorithm for estimating the parameters of a Hidden Markov Model, assuming normally distributed emissions. I wrote this code as part of a group project ...

1 Department of Computer Science & Telecommunication Engineering (CSTE), Noakhali Science & Technology University, Noakhali, Bangladesh. 2 School of Computer, Mathematical & Natural Sciences (SCMNS), ...