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Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Innovation Paths for Machine Learning in Robotics
Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Using ultrasound images of the forearm to predict finger positions
Event-Log Analyse mittels Clustering und Mustererkennung
Tutorial: Natural language processing with Python
A camera self-health-maintenance system based on sensor artificial intelligence
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Gaussian process regression for forecasting battery state of health
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Nachvollziehbarkeit und Begründbarkeit von Maschinellen Lernverfahren mithilfe von 3D-Visualisierung
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Assessing the Role of Machine Learning in Robotics
Using Object Affordances to Improve Object Recognition
Generalizability of Code Clone Detection on CodeBERT
ML of Choosing: Architecting Intelligent Choice Framework
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Machine learning approaches for detection of robot errors in human brain signals
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Context based Text-generation using LSTM networks
Radar Waveforms and Their Mathematical Models
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Deep recurrent neural networks for abstractive text summarization
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Studying the capabilities of the analytical system based on the machine learning method
Reservoir Computing Based Cryptography and Exploration of the Limits of Multifunctionality in NG-RC
Vehicular Networks and Autonomous Driving Cars
A Review on Behavioural Biometric GAIT Recognition
Bird’s Eye View Perception for Autonomous Driving
Target Recognition and Classification Techniques