Synonyme wurden verwendet für: Forecasting
Suche ohne Synonyme: keywords:(Forecasting)

1–20 von 45 Ergebnissen
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    Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM

    Ye, Ting / Zou, Fumin / Guo, Feng | Springer Verlag | 2024
    Schlagwörter: Traffic Flow Prediction

    Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City

    Aroba, Oluwasegun Julius / Mabuza, Phumla / Mabaso, Andile et al. | Springer Verlag | 2023
    Schlagwörter: Forecasting

    Pedestrian Crossing Prediction Based on Invariant Feature Extraction of Cross-Spectral Images

    Wang, Fan / Bai, Jie / Fang, Jianwu | Springer Verlag | 2023
    Schlagwörter: Pedestrian crossing prediction

    Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting

    Bansal, Nishu / Bali, Rasmeet Singh | Springer Verlag | 2023
    Schlagwörter: Vehicular flow forecasting

    Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation Systems

    Neelakandan, S. / Prakash, M. / Bhargava, Sanjay et al. | Springer Verlag | 2022
    Schlagwörter: Traffic flow prediction

    Traffic Congestion Prediction Using Categorized Vehicular Speed Data

    Kumar, Manoj / Kumar, Kranti | Springer Verlag | 2022
    Schlagwörter: Speed prediction

    The Facets of Machine Learning in Lane Change Prediction of Vehicular Traffic Flow

    Upadhyaya, Shreya / Mehrotra, Deepti | Springer Verlag | 2022
    Schlagwörter: Lane change prediction

    Impact of Data Cleansing for Urban Bus Commercial Speed Prediction

    Lyan, Gauthier / Gross-Amblard, David / Jezequel, Jean-Marc et al. | Springer Verlag | 2022
    Schlagwörter: Prediction

    Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s

    Bindu, G. / Karthika, R. A. | Springer Verlag | 2021
    Schlagwörter: Traffic prediction

    Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles

    Chen, Zekuan / Luo, Xiong / Wang, Ting et al. | Springer Verlag | 2021
    Schlagwörter: Traffic flow forecasting

    Port Logistics Demand Forecast Based on Grey Neural Network with Improved Particle Swarm Optimization

    Yuan, Ruiping / Wei, Hui / Li, Juntao | Springer Verlag | 2021
    Schlagwörter: Port logistics demand prediction

    Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution

    Patole, Deepti / Mehta, Raj / Mehta, Chintan et al. | Springer Verlag | 2021
    Schlagwörter: Time-based taxi demand prediction

    Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks

    Spooner, James / Cheah, Madeline / Palade, Vasile et al. | Springer Verlag | 2020
    Schlagwörter: Pedestrian prediction

    PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction

    Zheng, Yuxin / Liao, Lyuchao / Zou, Fumin et al. | Springer Verlag | 2020
    Schlagwörter: Traffic states prediction

    Maritime Target Trajectory Prediction Model Based on the RNN Network

    Jin, Jialong / Zhou, Wei / Jiang, Baichen | Springer Verlag | 2020
    Schlagwörter: Trajectory prediction

    Electric Power-Train Pre-fault Detection Using AI with IoT

    Kokare, Bapu Dada / Gupta, Anil Kumar / Deokar, Sanjay A. | Springer Verlag | 2020
    Schlagwörter: Error prediction

    In-Memory Deep Learning Computations on GPUs for Prediction of Road Traffic Incidents Using Big Data Fusion

    Aqib, Muhammad / Mehmood, Rashid / Alzahrani, Ahmed et al. | Springer Verlag | 2019
    Schlagwörter: Incident prediction

    Analyzing the Accuracy of Historical Average for Urban Traffic Forecasting Using Google Maps

    Rezzouqi, Hajar / Gryech, Ihsane / Sbihi, Nada et al. | Springer Verlag | 2018
    Schlagwörter: Prediction

    Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou

    Li, Luming / Jiang, Xinhua | Springer Verlag | 2017
    Schlagwörter: Travel time prediction

    Short-Term Load Forecasting Model Based on Multi-label and BPNN

    Sun, Xiaokui / Ouyang, Zhiyou / Yue, Dong | Springer Verlag | 2017
    Schlagwörter: Short-term load forecasting