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Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control: Findings and recommendations
Matthew Walsh
Command and Control of Joint Air Operations in the Pacific
Brien Alkire
Leveraging the Past to Prepare for the Future of Air Force Intelligence Analysis
Brien Alkire
Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control: Supporting technical analysis
Matthew Walsh
The Pyrenees
Marc Dubin
Virtual Collaboration for a Distributed Enterprise
Amado Cordova
Operationally Relevant Artificial Training for Machine Learning
Gavin S. Hartnett
Motion Imagery Processing and Exploitation (MIPE)
Amado Cordova
Assessing the Value of Intelligence Collected by U.S. Air Force Airborne Intelligence, Surveillance, and Reconnaissance Platforms
Abbie Tingstad
Technology Innovation and the Future of Air Force Intelligence Analysis
LANCE. METHE
Outsmarting Agile Adversaries in the Electromagnetic Spectrum
Padmaja Vedula
OUTSMARTING AGILE ADVERSARIES IN THE ELECTROMAGNETIC SPECTRUM
ABBIE. TINGSTAD
Technology Innovation and the Future of Air Force Intelligence Analysis
LANCE. MENTHE
Graph Theoretic Algorithms for the Ground Based Strategic Deterrent Program
Don Snyder
Data-Enabled Approaches for Enhancing the Air Force Transformational Capability Pipeline
Matthew Walsh
The Future of Air Force Motion Imagery Exploitation
Lance Menthe
A RAND Analysis Tool for Intelligence, Surveillance, and Reconnaissance
Lance Menthe