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A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Explainable AI for precise fatigue crack detection
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction
Big Loop: Die vernetzte Karte für das automatische Fahren
Automatic Geographic Enrichment by Multi-modal Bike Sensing
Verzögern mit Rekuperation: Lernprozesse aus der Nutzerperspektive
Degradation Mode Recognition for Battery of Electric Vehicle Based on ART2 Network
A Software Scheme for UAV's Safe Landing Area Discovery
The path inference filter: Model-based low-latency map matching of probe vehicle data
Anwendungen akustischer Ereigniserkennung im Automobil
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Evolutionary Computation Methods for Helicopter Loads Estimation
Fast, Scalable, Model-free Trajectory Optimization for Wireless Data Ferries
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
Online learning for ship detection in maritime surveillance
Kernel regression for travel time estimation via convex optimization
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Oppositional particle swarm optimization algorithm and its application to fault monitor
Robot design for space missions using evolutionary computation
Research on suspension system based on genetic algorithm and neural network control
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Software V&V support by parametric analysis of large software simulation systems
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Robust servo-control for underwater robots using banks of visual filters
Mechanical fault diagnosis using wireless sensor networks and a two-stage neural network classifier
Application of fuzzy neural network to aero-engine controller design
Fuel cell vehicle and infrastructure learning demonstration status and results
Stellenwert von Fahrerassistenzsystemen bei Fahrlehrern und Fahrschülern
An Ant Colony Optimization using training data applied to UAV way point path planning in wind