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A Concept for the Corps Operations Command Complex in the 1980's
A fuzzy logic based approach for structure-free aggregation in vehicular ad-hoc networks
A Fuzzy Set Approach to Group Decision Making with Ordinal Interval Information on Alternatives
Agent-Based Simulation Framework for Public Bus Fleet Electrification Investment Analysis
AI Expert System Technology Issues for Guidance and Control Applications
Analysis and optimization of hybrid electric vehicle thermal management systems
Analysis of ARAIM Against EOP GPS-Galileo Faults on LPV-200 Precision Approach
Analysis of Impact of Guiding Signs on Evacuation Decision-Making Process
A navigator's user model based on fieldworks study
An Evacuation Decision Making Model for Firefighters in Ad Hoc Robot Network
A new decision making algorithm for airbag control
An experimental study on navigator's decision-making process for collision avoidance
Comprehensive comparison and selection of magnetic materials for powertrain DC–DC converters
Conception of a Control Unit for Critical Systems
Crew Coordination Concepts: Continental Airlines CRM (Cockpit Resource Management) Training
Decision Support Systems for the Commercial Aviation Industry
Defense Planning and Budgeting: The Issue of Centralized Control
Design of Intelligent Transportation Assistant Decision System Based on Traffic Big Data
Development of a Forecasting Model of Naval Aviator Retention Rates
Development of a tool to study aircraft trajectory optimisation in the presence of icing conditions
Development of Cursor-on-Target Control for Semi-Autonomous Unmanned Aircraft Systems
Development Tendency of Space Launch Test and Control
Distributed architectures for autonomous underwater vehicles
Energy price forecasting for optimal managing of electric vehicle fleet
Entwicklung und Anwendung einer neuen Methodik zur Fahreraufgabenanalyse
Fokussierung auf den Testprozess. Methoden zur Testfall-Priorisierung
From the Sea - Preparing the Naval Service for the 21st Century
Heuristics-oriented overtaking decision making for autonomous vehicles using reinforcement learning
How Can Unmanned Aerial Vehicles be Best Integrated into Homeland Security