Solving Challenges to Advance Federal Missions
Explore this listing for Noblis publications, presentations and thought leadership resources.
This black box study was conducted to empirically evaluate tire impression examiners’ decisions reported for samples selected to be broadly representative of casework.
Leveraging modeling and experimentation for information and communications technology solutioning, assessment and optimization.
This 2024 NHCP research report provides a foundational understanding of ML and its applications and helping to leverage ML for a safer, more efficient, and sustainable transportation future.
The complementary characteristics of LiDARs and cameras motivate their combined use in object detection, especially for autonomous vehicles. We propose a novel automated annotation pipeline.
The Noblis Data Lakehouse has a scalable data infrastructure that provides replication, consistency and reliability; an efficient and scalable engine for data processing; and support for faster analytic queries and the ML development lifecycle.
Embarking on a project that involves human subjects research requires careful planning to protect the rights of the participants. This document is designed to help researchers in the United States navigate and comply with requirements and best practices for human subjects research, with specific emphasis on biometric and forensic science research.
Our smart sensors, secure networks and data analytics help platforms—such as the U.S. Navy’s Littoral Combat Ship—stay up and running while optimizing performance and minimizing overall lifecycle costs.
Members of the Noblis team completed a research project on designing and testing the effectiveness of polymerase chain reaction primers for Monkeypox using algorithms – continuing efforts to help prevent and prepare for potential infectious disease outbreaks.
Scientists from Noblis and the Defense Biological Product Assurance Office (DBPAO) published a paper in the online journal Frontiers in Public Health.
The Noblis autonomy concept orchestrates the motions and actions of unfamiliar, connected, and autonomous machines. With this concept, systems of autonomous machines are safer, more productive, and more equitable.
Our OptiSource solution uses advanced modeling and simulation to forecast workloads and resources for surface ship drydocking and other maintenance periods.
We report on the largest study to date of the accuracy, reproducibility (inter-examiner variation), and repeatability (intra-examiner variation) of footwear examiners’ decisions.
