Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review

A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

Towards federated learning and multi-access edge computing for air quality monitoring: literature review and assessment

S Abimannan, ESM El-Alfy, S Hussain, YS Chang… - Sustainability, 2023 - mdpi.com
Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …

[HTML][HTML] Predicting real-time within-vehicle air pollution exposure with mass-balance and machine learning approaches using on-road and air quality data

VN Matthaios, LD Knibbs, LJ Kramer, LR Crilley… - Atmospheric …, 2024 - Elsevier
Modelling the air pollutant concentrations within-vehicles is an essential step to estimate our
daily exposure to air pollution. This is a challenging issue however, since the processes that …

In-vehicle data for predicting road conditions and driving style using machine learning

G Al-refai, H Elmoaqet, M Ryalat - Applied Sciences, 2022 - mdpi.com
Many network protocols such as Controller Area Network (CAN) and Ethernet are used in
the automotive industry to allow vehicle modules to communicate efficiently. These networks …

Prediction and Comparison of In-Vehicle CO2 Concentration Based on ARIMA and LSTM Models

J Han, H Lin, Z Qin - Applied Sciences, 2023 - mdpi.com
An increase in the carbon dioxide (CO2) concentration within a vehicle can lead to a
decrease in air quality, resulting in numerous adverse effects on the human body. Therefore …

Machine-learning-based carbon dioxide concentration prediction for hybrid vehicles

D Tena-Gago, G Golcarenarenji, I Martinez-Alpiste… - Sensors, 2023 - mdpi.com
The current understanding of CO2 emission concentrations in hybrid vehicles (HVs) is
limited, due to the complexity of the constant changes in their power-train sources. This …

A novel online prediction method for vehicle cabin temperature and passenger thermal sensation

C Zhang, B Hou, M Li, Z Chen, R Zhang, S Li… - Applied Thermal …, 2024 - Elsevier
Vehicle cabin temperature and passenger thermal sensation are essential indicators for the
vehicle thermal management system. However, the temperature distribution in the vehicle …

Modeling for vehicle cabin temperature prediction based on graph spatial-temporal neural network in air conditioning system

X He, Y Wang, F Guo, X Zhang, X Duan, J Pei - Energy and Buildings, 2022 - Elsevier
The vehicle HVAC (heating, ventilating, and air conditioning) system aims to keep
passengers thermal comfort and reduce energy consumption. One effective measure is to …

[HTML][HTML] In-cabin and outdoor environmental monitoring in vehicular scenarios with distributed computing

E Ramos-Sorroche, J Rubio-Aparicio, J Santa… - Internet of Things, 2024 - Elsevier
Accurate environmental monitoring is becoming the basis for assuring sustainable
development in administrations at different levels, including cities and industry as key actors …

A novel bike-mounted sensing device with cloud connectivity for dynamic air-quality monitoring by urban cyclists

J Gómez-Suárez, P Arroyo, R Alfonso, JI Suárez… - Sensors, 2022 - mdpi.com
We present a device based on low-cost electrochemical and optical sensors, designed to be
attached to bicycle handlebars, with the aim of monitoring the air quality in urban …