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Adaptive navigation of automated vehicles by image analysis techniques
Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Lane change intent analysis using robust operators and sparse Bayesian learning
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Clustering sensor data for autonomous terrain identification using time-dependency
A methodology for photometric validation in vehicles visual interactive systems
Crater detection via genetic search methods to reduce image features
A machine learning approach to crater detection from topographic data
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Trajectory classification in circular restricted three-body problem using support vector machine
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
A random forest algorithm for nowcasting of intense precipitation events
Automated detection of new impact sites on Martian surface from HiRISE images
Data-driven train set crash dynamics simulation
A data-driven dynamics simulation framework for railway vehicles
Sunspot cycle prediction using Warped Gaussian process regression
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
GIS-based ensemble soft computing models for landslide susceptibility mapping
A tropical Atlantic dynamics analysis by combining machine learning and satellite data
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Journal of Aerospace Information Systems 2020 Year-End Review
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
Does Machine Learning reconstruct missing sunspots and forecast a new solar minimum?
Scaling uncertainties on asteroid characteristics to prepare datasets for machine learning
Federated Learning for Spanish Ports as an Aid to Digitization
Machine learning regression models for prediction of multiple ionospheric parameters
Machine Learning Based Approach to a Crane Load Estimation
Enabling Limited Resource-Bounded Disjunction in Scheduling
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings