Jun 9, 2021 · The main goal is to design an intelligent IoT-based service that can predict, in the next few hours, the parking spaces occupancy of a street.
In this article, we present and discuss an innovative Deep Learning-based ensemble technique in forecasting the parking space occupancy.
It presents a new deep learning-based ensemble technique for predicting parking space occupancy, supported by a genetic algorithm for parameter optimization. ..
A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources · Computer ...
The main goal is to design an intelligent IoT-based service that can predict, in the next few hours, the parking spaces occupancy of a street. The proposed ...
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Amato (2017) proposed an intelligent parking system based on computing vision, they used deep learning to determine the availability of spaces in a parking lot.
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Aug 9, 2024 · This paper presents a comprehensive study of machine learning (ML) models in IoT-enabled environments focusing on proposing an ML-based model for predicting ...
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data. Article. Jul 2020. Francesco Piccialli ...
This paper examines the impact of WoT and AI in smart cities, considering a real-world problem, the one of predicting parking availability.