Abstract: Baum-Welch Algorithm (BWA) have used in recognition systems, many researchers have improved BWA performances by using hybrid genetic algorithm (HGA). This paper presents a new HGA technique ...
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 ...
Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States Department of Chemistry, Department of Electrical and Computer Engineering, ...
As the Army prepares for large-scale combat operations (LSCO), the importance of effective logistics has never been greater. In contested environments, where supply chains are vulnerable to disruption ...
Recent generations of machine learning, the methodology supporting artificial intelligence, have drawn inspiration from natural neural systems. These algorithmic approaches that mirror the complex ...
November 13, 2024, Mountain View, CA -- The SETI Institute is pleased to open the call for applications for the 2025 William J. Welch Postdoctoral Fellowship (WJWPF), focusing on "Engineering the ...
Fluid flow simulations marshal our most powerful computational resources. In many cases, even this is not enough. Quantum computers provide an opportunity to speed up traditional algorithms for flow ...
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