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A Study on Web2.0 Blending Learning
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Multi Agent Reinforcement Learning for Gridworld Soccer Leadingpass
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
A Reinforcement Learning Enhanced Fuzzy Control for Real-Time Off-Road Traction System
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Low-Cost Surface Classification System Supported by Deep Neural Models
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Effective Durability and Damage Tolerance Training: New Methods for Modern Learners
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
The Development of E-Learning System for Fractal Fern Graphics Based on Iterated Function System