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Forecasting
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Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM
Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City
Pedestrian Crossing Prediction Based on Invariant Feature Extraction of Cross-Spectral Images
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Traffic Congestion Prediction Using Categorized Vehicular Speed Data
The Facets of Machine Learning in Lane Change Prediction of Vehicular Traffic Flow
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles
Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution
Reliability Approach for the Power Semiconductor Devices in EV Applications
Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks
PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction
Maritime Target Trajectory Prediction Model Based on the RNN Network
Electric Power-Train Pre-fault Detection Using AI with IoT
Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution
A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction