IoT-enabled smart sustainable cities: Challenges and approaches

L Belli, A Cilfone, L Davoli, G Ferrari, P Adorni… - Smart Cities, 2020 - mdpi.com
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 …

Data mining and machine learning to promote smart cities: A systematic review from 2000 to 2018

JT Souza, AC Francisco, CM Piekarski, GF Prado - Sustainability, 2019 - mdpi.com
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 …

Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review

P He, N Almasifar, A Mehbodniya, D Javaheri… - … Informatics and Systems, 2022 - Elsevier
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 …

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 …

A comparative analysis of machine/deep learning models for parking space availability prediction

FM Awan, Y Saleem, R Minerva, N Crespi - Sensors, 2020 - mdpi.com
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 …

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 …

Energy-Efficient smart cities with green internet of things

M Sinha, E Chacko, P Makhija, S Pramanik - … Technological Innovation for …, 2021 - Springer
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 …

An efficient smart parking pricing system for smart city environment: A machine-learning based approach

S Saharan, N Kumar, S Bawa - Future Generation Computer Systems, 2020 - Elsevier
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 …

Implementing big data lake for heterogeneous data sources

H Mehmood, E Gilman, M Cortes… - 2019 ieee 35th …, 2019 - ieeexplore.ieee.org
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 …

Data mining algorithms for smart cities: A bibliometric analysis

A Kousis, C Tjortjis - Algorithms, 2021 - mdpi.com
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 …