Synonyme wurden verwendet für:
Forecasting
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keywords:(Forecasting)
Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM
Spatially-aware station based car-sharing demand prediction
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
Ride-pooling demand prediction: A spatiotemporal assessment in Germany
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
Spatiotemporal exploration of Melbourne pedestrian demand
Modeling bike-sharing demand using a regression model with spatially varying coefficients
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
Addressing transit mode location bias in built environment-transit mode use research
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
Regionale Ozeanvorhersagemodelle im operationellen Betrieb für die Marine
A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction
Monitoring and Predicting Pedestrian Behavior Using Traffic Cameras