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Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
UUV teams, control from a biological perspective
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Machine learning algorithms in ship design optimization
Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning
L'agenda istruttore condotta elettronica (AGISCO)
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography
Gaussian process regression for forecasting battery state of health
Generalization of human grasping for multi-fingered robot hands
A robust machine learning structure for driving events recognition using smartphone motion sensors
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
A camera self-health-maintenance system based on sensor artificial intelligence
Using Predictive Uncertainty for Cleaning Noisy Annotations
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement Learning
THC Concentration Estimation Model using FTIR Spectrum
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Refining action segmentation with hierarchical video representations
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
Reinforcement learning-enabled genetic algorithm for school bus scheduling