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Welcome to the Data Jungle – Our Way to Tackle AI-Supported Vehicle Development Projects
Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine
Vibration-based Damage Detection in Bridges via Machine Learning
Vibration-based Damage Detection in Bridges via Machine Learning
Verification of Image-Based Neural Network Controllers Using Generative Models
UUV teams, control from a biological perspective
Using supervised machine learning algorithms in pavement degradation monitoring
Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India
Using explainable machine learning to understand how urban form shapes sustainable mobility
Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors
Urban traffic control based on learning agents
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Unconstrained licence plate and text localization and recognition
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters
Truck industry classification from anonymous mobile sensor data using machine learning
Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Transport Category Aircraft Fuselage Integrated Design
Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning
Transit electrification state of the art: A machine-learning based text mining approach
Trajectory classification in circular restricted three-body problem using support vector machine
Trajectory based Flight Phase Identification with Machine Learning for Digital Twins
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Towards the True Hybrid: Physics-Informed Trainable Models for Prognostics and Health Management
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Assurance for Safety-Critical, Machine Learning-enabled Aviation Systems
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory