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Forecasting
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Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City
A Genetic Neural Network Approach for Production Prediction of Trailing Suction Dredge
Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction
Applying Non-stationary Noise Estimation to Achieve Contrast Invariant Edge Detection
A Skylight Opening Prediction Method Based on Parallel Dirichlet Process Mixture Model Clustering
A Variant Gaussian Process for Short-Term Wind Power Forecasting Based on TLBO
City-Obstacles Impact on OLSR-Based Routing Protocols
Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks
Crowdsourcing Leakage of Personally Identifiable Information via Sina Microblog
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles
Dense Photometric Stereo by Expectation Maximization
Density Estimation Using Mixtures of Mixtures of Gaussians
Electric Power-Train Pre-fault Detection Using AI with IoT
Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM
Image Segmentation Using Co-EM Strategy
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Improved LMD and Its Application in Short-Term Wind Power Forecast