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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
AI-based neural network models for bus passenger demand forecasting using smart card data
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
Verbundvorhaben "iMove" : Schlussbericht : Laufzeit des Vorhabens: von: 01.01.2017 bis: 31.12.2020
Verbundvorhaben "iMove" : Schlussbericht : Laufzeit des Vorhabens: von: 01.01.2017 bis: 31.12.2020
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
Analyzing the Accuracy of Historical Average for Urban Traffic Forecasting Using Google Maps
Monitoring and Predicting Pedestrian Behavior Using Traffic Cameras
Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fußgängern
Comparison of Taxi Time Prediction Performance Using Different Taxi Speed Decision Trees
Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou
Short-Term Load Forecasting Model Based on Multi-label and BPNN
Intelligent Traffic Congestion Prediction System Based on ANN and Decision Tree Using Big GPS Traces
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
A Skylight Opening Prediction Method Based on Parallel Dirichlet Process Mixture Model Clustering
Monitoring Data Reduction in Data Centers: A Correlation-Based Approach
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
The Relationship Between Traffic Rule Violations and Accident Involvement Records of Drivers