Benchmarking deep learning approaches for all-vs-all conjunction screening
Autonomous anomaly detection on traffic flow time series with reinforcement learning
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Robust unsupervised learning of temporal dynamic vehicle-to-vehicle interactions
CryptoKnight:generating and modelling compiled cryptographic primitives
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Rule-base Reduction in Fuzzy Rule Interpolation-based Q-learning
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Innovation Paths for Machine Learning in Robotics
RANCANG BANGUN ROBOT LEGO SEBAGAI MEDIA PEMBELAJARAN SEKOLAH DASAR BERBASIS ARDUINO MEGA
Adaptive control of hypersonic vehicles with unknown dynamics based on dual network architecture
Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties
Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes
Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient
Deep Decentralized Reinforcement Learning for Cooperative Control
Argumentation-Based Online Incremental Learning
Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment
The Utilization of Virtual Laboratory in Learning: A Meta-Analysis
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Gait Trajectory and Gait Phase Prediction Based on an LSTM Network
Warning systems triggered by trains increase flight-initiation times of wildlife
Robot interaction styles for conversation practice in second language learning
Robot interaction styles for conversation practice in second language learning
Semisupervised fault diagnosis of aeroengine based on denoising autoencoder and deep belief network
Learning-based restoration sequence ordering for multi-site traffic signal failure
Predicting network flows from speeds using open data and transfer learning
Grasping learning, optimization, and knowledge transfer in the robotics field
Federated Learning for Spanish Ports as an Aid to Digitization