Synonyme wurden verwendet für:
Forecasting
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keywords:(Forecasting)
Dense Photometric Stereo by Expectation Maximization
Image Segmentation Using Co-EM Strategy
Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks
Density Estimation Using Mixtures of Mixtures of Gaussians
Using Neural Networks for Route and Destination Prediction in Intelligent Transport Systems
Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou
Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM
Short-Term Load Forecasting Model Based on Multi-label and BPNN
A Variant Gaussian Process for Short-Term Wind Power Forecasting Based on TLBO
Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City
Traffic Congestion Prediction Using Categorized Vehicular Speed Data
Intelligent Traffic Congestion Prediction System Based on ANN and Decision Tree Using Big GPS Traces
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
Pedestrian Crossing Prediction Based on Invariant Feature Extraction of Cross-Spectral Images
Machine Learning and Big Data Analytics in Support of Fleet Safety During Severe Weather
A Genetic Neural Network Approach for Production Prediction of Trailing Suction Dredge
The Relationship Between Traffic Rule Violations and Accident Involvement Records of Drivers
A Skylight Opening Prediction Method Based on Parallel Dirichlet Process Mixture Model Clustering
City-Obstacles Impact on OLSR-Based Routing Protocols
The New Method to Determine the Confidence Probability of Wind Power Prediction Result
Monitoring Data Reduction in Data Centers: A Correlation-Based Approach
Shift-Invariant Image Denoising Using Mixture of Laplace Distributions in Wavelet-Domain
The Facets of Machine Learning in Lane Change Prediction of Vehicular Traffic Flow
Improved LMD and Its Application in Short-Term Wind Power Forecast
PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction
Applying Non-stationary Noise Estimation to Achieve Contrast Invariant Edge Detection
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Situational Awareness and Road Prediction for Trajectory Control Applications
Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction
Maritime Target Trajectory Prediction Model Based on the RNN Network
Crowdsourcing Leakage of Personally Identifiable Information via Sina Microblog
Electric Power-Train Pre-fault Detection Using AI with IoT
Traffic Flow Analysis Based on the Real Data Using Neural Networks
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution