Decision Support -

Intelligent decision support systems help people assess situations, analyze information, and make predictions or decisions in areas such as equipment diagnosis, planning, and design. These systems apply the knowledge of experts, encoded as heuristic rules, computational models, or experiences.

Success Stories

Team Environment Analysis and Modeling
TEAM enables organizations to understand, analyze, and track inter-related political, military, economic, social, and technological factors to help them determine how best to influence their environment and achieve their objectives.

Improving Surface Threat Detection and Identification
Stottler Henke developed a software system, the Intelligent Surface Threat Identification System (ISTIS), based on Artificial Intelligence (AI) techniques that improves the surface threat ID process, quality, and efficiency in the Littoral Combat Ship and its Surface Mission Module.

Case-based Reasoning Shell
ESTEEM enables people to develop case-based reasoning applications without programming.

Predicting Retail Sales
Stottler Henke developed a case-based reasoning (CBR) system that predicts the daily sales volume for each store in a store chain of 800 service centers to support staffing decisions that ensure adequate yet efficient staffing levels.

Helping Aircraft Land Aboard Carriers
Stottler Henke developed a real-time visual decision-support system to help landing signal officers (LSOs) guide aircraft landing aboard carriers.

Designing Environmentally-Friendly Buildings
EnvKB is a case-based advisor that helps architects design environmentally-friendly buildings.

Selecting Steel Manufacturing Process Settings
Stottler Henke developed a case-based reasoning (CBR) system that enabled a major steel company to design the manufacturing process for each new order quickly and automatically.

Applying Deep Learning to Improve Maritime Situational Awareness
Stottler Henke developed an Extensible Platform for Automated Tactical Sensor Screening (ExPATSS) for the Navy to automatically detect and classify ships by simultaneously processing several video streams and applying deep learning to perform ship detection and classification.