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Maschinelles Lernen
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Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Gain Customer Insights Using NLP Techniques
Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features
Predictive Modeling of Aircraft Dynamics Using Neural Networks
Real-time demand forecasting for an urban delivery platform
Generating bunkering statistics from AIS data: A machine learning approach
Multi-part Analysis and Techniques for Air Traffic Speech Recognition
Preliminary evidence of dynamic muscular synergies in human grasping
Machine learning in information systems - a bibliographic review and open research issues
Data mining for quality control: Burr detection in the drilling process
Modeling Weather Impact on Ground Delay Programs
Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Optimal Impulsive Maneuver Planning for Station Acquisition of Geosynchronous Satellites
Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
Applications of machine learning methods in port operations – A systematic literature review
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data
A Hybrid System and Method for Estimating State of Charge of a Battery
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach
Artificial intelligence and machine learning
Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites
Machine learning and deep learning
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
A Review of Intelligence-Based Vehicles Path Planning
Incremental learning for motion prediction of pedestrians and vehicles
Estimating urban freight flow using limited data: The case of Delhi, India
Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation
Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals
Feature subset selection for predicting the success of crowdfunding project campaigns
A Reduced-Order Modeling Framework for Simulating Signatures of Faults in a Bladed Disk
Machine-Learning-Based Emission Models in Gasoline Powertrains—Part 2: Virtual Carbon Monoxide