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Voronoi Diagram-Based Approach to Identify Maritime Corridors
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC
Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning
Vehicular Networks and Autonomous Driving Cars
Vehicle Trajectory Outlier Detection for Road Safety
Vehicle Entry Management System Using Image Processing
UUV teams, control from a biological perspective
Using Object Affordances to Improve Object Recognition
Using machine learning to help find paths through the map in Slay the Spire
Using explainable machine learning to understand how urban form shapes sustainable mobility
Urban traffic control based on learning agents
Unconstrained licence plate and text localization and recognition
Tutorial: Natural language processing with Python
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Transit electrification state of the art: A machine-learning based text mining approach
Trajectory based Flight Phase Identification with Machine Learning for Digital Twins
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic Rule Violation Detection System: Deep Learning Approach
Traffic Congestion Control Using Hierarchical Decision Model
Traffic accident analysis using machine learning paradigms
Tracking Head Yaw by Interpolation of Template Responses
Towards behaviour inference in smart environments
Towards an Ontology-Based Recommender System for the Vehicle Sales Area
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
The NASA systems autonomy program: applying AI in space
The Importance of Applying Artificial Intelligence on Unmanned Aerial Vehicle
The Effect of Harmony Memory Integration into the Bees Algorithm
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Task Optimisation for a Modern Cloud Remanufacturing System Using the Bees Algorithm
Synthesizing and Editing Human Motion from Sparse User Inputs ; 적은 수의 사용자 입력으로부터 인간 동작의 합성 및 편집
Supply Chain Design and Multi-objective Optimisation with the Bees Algorithm
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels