Research and Development of AI/ML Methods to Support Naval Logistics
Abstract
Research and Development of AI/ML Methods to Support Naval Logistics. The overall objective of this research project is to support and improve U.S. Naval logistics applications through the investigation and development of new and modern methods in data science that include artificial intelligence and machine learning (AI/ML) models. It is thus a key objective of this research project to investigate the application and development of new methods based on data science AI/ML to avoid these types of unnecessary actions through the use of AI/ML methods that utilize the first and second set of data. Specifically, the research project will investigate the use of AI/ML to identify subsets of events in the first and second data sets that are related, to estimate the degree to which the identified subsets of events have a causal relationship rather than just a coincidental relationship, to utilize machine learning methods that indicates or identifies such patterns or grouping of events in the data sets, and, to utilize machine learning methods that predict a subset of events in one data set that are likely to be causally related to a given and observed set in the other data set. The specific research objectives of this proposed activity have resulted from interactions between the researchers and U.S. Navy personnel. These interactions resulted in the objectives being described as three distinct sub-objectives that are paraphrased here as follows and will be referred to as Objective 1, Objective 2, and Objective 3.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 29, 2020
- Source ID
- N000142012287
Entities
People
- Mitchell A. Thornton
Organizations
- Office of Naval Research
- Southern Methodist University
- United States Navy