TUDOR tip position control with Neural Networks
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
Dynamic "Standing Orders" for Autonomous Navigation System by means of Machine Learning
SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS
Predicting incident duration using random forests
Sharkeye: Real-Time Autonomous Personal Shark Alerting via Aerial Surveillance
Studying the capabilities of the analytical system based on the machine learning method
A reinforcement learning model for personalized driving policies identification
Identifying traffic conditions from non-traffic related sources
A Review on Drone-Based Data Solutions for Cereal Crops
DROWSINESS DETECTION AND MONITORING SYSTEM
A machine learning-based method for simulation of ship speed profile in a complex ice field
Machine Learning Methodology for Management of Shipbuilding Master Data
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
A Random Forest Model for the Prediction of Spudcan Penetration Resistance in Stiff-Over-Soft Clays
Machine learning methods in monitoring operating behaviour of marine two-stroke diesel engine
Using Bayesian Networks to Model Competence of Lifeboat Coxswains
The Machine Learning Method of PIDVCA
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Traffic volume prediction on low-volume roadways: a Cubist approach
Incorporating congestion patterns into spatio-temporal deep learning algorithms
Predicting the traction power of metropolitan railway lines using different machine learning models
Driver Identification with OBD-II Public Data
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
An Effort to Detect Vehicle Drivers Drowsy State Based on the Speed Analysis
Analyzing travel behavior in Hanoi using Support Vector Machine
Machine Learning-Assisted Adaptive Modulation for Optimized Drone-User Communication in B5G
Federated Learning for Spanish Ports as an Aid to Digitization
Classification of Photogrammetric and Airborne LiDAR Point Clouds Using Machine Learning Algorithms
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms
SeeCucumbers: Using Deep Learning and Drone Imagery to Detect Sea Cucumbers on Coral Reef Flats
Drone Trajectory Segmentation for Real-Time and Adaptive Time-Of-Flight Prediction
From Coastal to Montane Forest Ecosystems, Using Drones for Multi-Species Research in the Tropics