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Maschinelles Lernen
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SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS
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
A Review on Drone-Based Data Solutions for Cereal Crops
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
Machine Learning Methodology for Management of Shipbuilding Master Data
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
An Effort to Detect Vehicle Drivers Drowsy State Based on the Speed Analysis
Machine Learning-Assisted Adaptive Modulation for Optimized Drone-User Communication in B5G
Classification of Photogrammetric and Airborne LiDAR Point Clouds Using Machine Learning Algorithms
Federated Learning for Spanish Ports as an Aid to Digitization
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
Experimental Evaluation of Computer Vision and Machine Learning-Based UAV Detection and Ranging
Machine Learning Based Approach to a Crane Load Estimation
Convolutional Neural Networks for Classification of Drones Using Radars
Prediction of Fuel Tankering in Aviation Industry with Machine Learning Algorithms
Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning
Review of UAV Obstacle Avoidance Algorithms
PLSAV: Parallel loop searching and verifying for loop closure detection
A Sound-based Machine Learning to Predict Traffic Vehicle Density
Application of algorithmic models of machine learning to the freight transportation process
Forecasting fuel consumption in means of transport with the use of machine learning
How machine learning informs ride-hailing services: A survey
UAI-FI: using artificial intelligence for automatic passenger counting through Wi-Fi and GPS data