IoT-enabled smart sustainable cities: Challenges and approaches
The ongoing diffusion of Internet of Things (IoT) technologies is opening new possibilities,
and one of the most remarkable applications is associated with the smart city paradigm …
and one of the most remarkable applications is associated with the smart city paradigm …
Data mining and machine learning to promote smart cities: A systematic review from 2000 to 2018
Smart cities (SC) promote economic development, improve the welfare of their citizens, and
help in the ability of people to use technologies to build sustainable services. However …
help in the ability of people to use technologies to build sustainable services. However …
Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review
Energy efficiency is an important concern that the scientific community and society will have
to deal with in the coming years. Power-efficient structures and effective energy resource …
to deal with in the coming years. Power-efficient structures and effective energy resource …
Parking occupancy prediction method based on multi factors and stacked GRU-LSTM
C Zeng, C Ma, K Wang, Z Cui - Ieee Access, 2022 - ieeexplore.ieee.org
With the development of society and the continuous advancement of urbanization, motor
vehicles have increased rapidly, which exacerbates the imbalance between parking supply …
vehicles have increased rapidly, which exacerbates the imbalance between parking supply …
A comparative analysis of machine/deep learning models for parking space availability prediction
Machine/Deep Learning (ML/DL) techniques have been applied to large data sets in order
to extract relevant information and for making predictions. The performance and the …
to extract relevant information and for making predictions. The performance and the …
Predicting vacant parking space availability: A DWT-Bi-LSTM model
C Zeng, C Ma, K Wang, Z Cui - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Accurate and efficient prediction of vacant parking space availability, despite its great
significance, is no easy a task. How to address the noise in the original data and how to …
significance, is no easy a task. How to address the noise in the original data and how to …
Energy-Efficient smart cities with green internet of things
With governments of different countries having a vision of smart cities, the technology
adoption and implementation are at its peak and the current increase in the usage of …
adoption and implementation are at its peak and the current increase in the usage of …
An efficient smart parking pricing system for smart city environment: A machine-learning based approach
Now-a-days, with the ever increasing number of vehicles, getting parking space at right
place and on time has become an inevitable necessity for all across the globe. In this …
place and on time has become an inevitable necessity for all across the globe. In this …
Implementing big data lake for heterogeneous data sources
Modern connected cities are more and more leveraging advances in ICT to improve their
services and the quality of life of their inhabitants. The data generated from different sources …
services and the quality of life of their inhabitants. The data generated from different sources …
Data mining algorithms for smart cities: A bibliometric analysis
Smart cities connect people and places using innovative technologies such as Data Mining
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …