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Toward a real‐time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning

https://doi.org/10.1002/int.22725
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Broad Learning Introduction
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Multivariate LSTM-FCNs for time series classification
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How likely am I to find parking? – A practical model-based framework for predicting parking availability
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Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
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Expirable parking reservations for managing morning commute with parking space constraints
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Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
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A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
inferredcites →https://doi.org/10.1016/j.trc.2020.102676openalex-snapshot
Parking sharing problem with spatially distributed parking supplies
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Improving Parking Availability Information Using Deep Learning Techniques
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A multivariate state space approach for urban traffic flow modeling and prediction
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Time Series Prediction and Neural Networks
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Smart parking sensors, technologies and applications for open parking lots: a review
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Smart Parking-Management System for Commercial Vehicle Parking at Public Rest Areas
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Data Archiving and Performance Measurement for a Multi-State Truck Parking Information Management System (TPIMS)
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Truck Parking Utilization Analysis Using GPS Data
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Forecasting Truck Parking Using Fourier Transformations
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A Real-Time Parking Prediction System for Smart Cities
inferredcites →https://doi.org/10.1080/15472450.2019.1579092openalex-snapshot
Real-time multistep prediction of public parking spaces based on Fourier transform–least squares support vector regression
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Bidirectional recurrent neural networks
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Short-Term Parking Demand Prediction Method Based on Variable Prediction Interval
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Short-Term Prediction of Available Parking Space Based on Machine Learning Approaches
inferredcites →https://doi.org/10.1109/aiccsa.2017.212openalex-snapshot
Illegal Parking Detection Using Gaussian Mixture Model and Kalman Filter
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Deep Metric Learning to Rank
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Smart parking systems and sensors: A survey
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A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method
inferredcites →https://doi.org/10.1109/ictis.2015.7232145openalex-snapshot
Real time prediction of unoccupied parking space using time series model
inferredcites →https://doi.org/10.1109/iota.2016.7562735openalex-snapshot
IoT based smart parking system
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Real-Time Street Parking Availability Estimation
inferredcites →https://doi.org/10.1109/mits.2011.940473openalex-snapshot
SmartParking: A Secure and Intelligent Parking System
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Survey on Intelligent Truck Parking: Issues and Approaches
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A navigation and reservation based smart parking platform using genetic optimization for smart cities
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Describing Video With Attention-Based Bidirectional LSTM
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DAML: Domain Adaptation Metric Learning
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New “Smart Parking” System Based on Resource Allocation and Reservations
inferredcites →https://doi.org/10.1109/tits.2015.2428705openalex-snapshot
On-Street and Off-Street Parking Availability Prediction Using Multivariate Spatiotemporal Models
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A Survey of Smart Parking Solutions
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Transferable Representation Learning with Deep Adaptation Networks
inferredcites →https://doi.org/10.1109/uemcon.2018.8796716openalex-snapshot
TruParking: Smart Parking and the Internet of Things
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Semi-supervised distance metric learning for collaborative image retrieval and clustering
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Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval
inferredcites →https://doi.org/10.1145/3219819.3219876openalex-snapshot
Du-Parking
inferredcites →https://doi.org/10.1145/3292500.3330767openalex-snapshot
Hard to Park?
inferredcites →https://doi.org/10.1145/3368691.3368707openalex-snapshot
A deep learning approach to real-time parking availability prediction for smart cities
inferredcites →https://doi.org/10.1155/2017/1760842openalex-snapshot
Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1177/0361198118788185openalex-snapshot
Evaluation of Commercial Truck Parking Detection for Rest Areas
inferredcites →https://doi.org/10.1561/2200000019openalex-snapshot
Metric Learning: A Survey
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Attention Based LSTM for Target Dependent Sentiment Classification
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When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011004openalex-snapshot
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
inferredcites →https://doi.org/10.1609/aaai.v34i01.5471openalex-snapshot
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
inferredcites →https://doi.org/10.21949/1501488openalex-snapshot
Freight Facts and Figures 2017
inferredcites →https://doi.org/10.24963/ijcai.2020/610openalex-snapshot
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
inferredcites →https://doi.org/10.3390/s20010322openalex-snapshot
A Comparative Analysis of Machine/Deep Learning Models for Parking Space Availability Prediction
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Attention Is All You Need

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Integrating Adaptive Gcn and Gru for On-Street Parking Predictive Management and Efficiency
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Transfer learning
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