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learning
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keywords:(learning)
Computers and railroad history: an essay on historical opportunities
A graphics simulation system - task emulation not equipment modeling
Influence of instructional systems development (ISD) on simulator design
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Periodenbezogene Produktionsprogrammplanung bei betrieblichem Lernen
A low-cost altitude control system for the Kadet Senior radio-controlled airplane
Learning and exit behavior of new entrant discount airlines from city-pair markets
Traveler compliance with advice: A Bayesian utilitarian perspective
Prediction of vehicle reliability performance using artificial neural networks
An artificial neural networks approach on automobile pricing
Clustering sensor data for autonomous terrain identification using time-dependency
Case-based adaptation for automotive engine electronic control unit calibration
Data mining for quality control: Burr detection in the drilling process
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
An adaptive learning model in coordination games
Interaktives Lernen in der Stellwerksausbildung - Verknüpfung von Lernplattform und Simulation
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
Production scheduling of assembly fixtures in the aeronautical industry
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
A novel CNN-DDPG based AI-trader: Performance and roles in business operations
Minimizing the total completion time of an urban delivery problem with uncertain assembly time
A machine learning model to predict runway exit at Vienna airport
Modeling train operation as sequences: A study of delay prediction with operation and weather data
Hub-and-spoke network design under congestion: A learning based metaheuristic
Real-time demand forecasting for an urban delivery platform
Online operations strategies for automated multistory parking facilities
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Feature subset selection for predicting the success of crowdfunding project campaigns
A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations
Formation of policies guided by multivariable control theory
Investigation of crowdshipping delivery trip production with real-world data