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Maschinelles Lernen
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Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Gain Customer Insights Using NLP Techniques
Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Gaussian process regression for forecasting battery state of health
A camera self-health-maintenance system based on sensor artificial intelligence
Real-time demand forecasting for an urban delivery platform