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Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Distributed Intelligent Adaptive Controller for Disturbance Rejection in Multiagent Systems
Double-deck elevator systems using genetic network programming with reinforcement learning
Driver behavior and situation aware brake assistance for intelligent vehicles
Dynamic construction of routine patterns for transport vehicles based on ant colony system
Dynamic Targeting to Improve Earth Science Missions
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Enabling Limited Resource-Bounded Disjunction in Scheduling
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Evolutionary Computation Methods for Helicopter Loads Estimation
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on -Learning
Fast, Scalable, Model-free Trajectory Optimization for Wireless Data Ferries
Federated Learning for Spanish Ports as an Aid to Digitization
Foxes and sheep: effect of predictive logic in day-to-day dynamics of route choice behavior
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Generalizability of Code Clone Detection on CodeBERT
Generalizing Movements with Information-Theoretic Stochastic Optimal Control
Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning
Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation
Hypothesis generation strategies for adaptive problem solving (spacecraft mission control)
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance
Interaktives Lernen in der Stellwerksausbildung - Verknüpfung von Lernplattform und Simulation
Interorganisationales Lernen : ein kompetenzorientierter Ansatz zur Steuerung von Logistiknetzwerken
Introduction to the Virtual Collection on Machine Learning in Aerospace
Iterative Data-Driven Controller Tuning with Actuator Constraints and Reduced Sensitivity
Journal of Aerospace Information Systems 2020 Year-End Review
Journal of Aerospace Information Systems 2021 Year-End Review
Journal of Aerospace Information Systems Year-End Review
Kernel regression for travel time estimation via convex optimization
Learning and adaptation in an airborne laser fire controller
Learning fuzzy rules with tabu search-an application to control