Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques

MY Salman, H Hasar - Sustainable Cities and Society, 2023 - Elsevier
Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …

Drones for flood monitoring, mapping and detection: A bibliometric review

U Iqbal, MZB Riaz, J Zhao, J Barthelemy, P Perez - Drones, 2023 - mdpi.com
Floods are one of the most often occurring and damaging natural hazards. They impact the
society on a massive scale and result in significant damages. To reduce the impact of floods …

Computational deep air quality prediction techniques: a systematic review

M Kaur, D Singh, MY Jabarulla, V Kumar… - Artificial Intelligence …, 2023 - Springer
The escalating population and rapid industrialization have led to a significant rise in
environmental pollution, particularly air pollution. This has detrimental effects on both the …

[HTML][HTML] Citizen-operated mobile low-cost sensors for urban PM2. 5 monitoring: field calibration, uncertainty estimation, and application

A Hassani, N Castell, ÅK Watne, P Schneider - Sustainable cities and …, 2023 - Elsevier
Research communities, engagement campaigns, and administrative agents are increasingly
valuing low-cost air-quality monitoring technologies, despite data quality concerns. Mobile …

A long-term prediction method for PM2. 5 concentration based on spatiotemporal graph attention recurrent neural network and grey wolf optimization algorithm

C Zhang, S Wang, Y Wu, X Zhu, W Shen - Journal of Environmental …, 2024 - Elsevier
With the rapid advancement of global industrialization and urbanization, the problem of air
pollution, primarily attributed to PM 2.5, as the main component has become increasingly …

A survey of urban drive-by sensing: An optimization perspective

W Ji, K Han, T Liu - Sustainable Cities and Society, 2023 - Elsevier
Pervasive and mobile sensing is an integral part of smart transport and smart city
applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity …

[HTML][HTML] Modeling PM2. 5 forecast using a self-weighted ensemble GRU network: Method optimization and evaluation

H Huang, C Qian - Ecological Indicators, 2023 - Elsevier
Due to the rapid industrial development and global concern about air pollution,
understanding the dynamics of PM2. 5 concentration has become a key aspect of air quality …

Smart city air quality management through leveraging drones for precision monitoring

M Bakirci - Sustainable Cities and Society, 2024 - Elsevier
Air pollution stands out as one of the most critical challenges impacting public health, the
overall quality of life, and the pursuit of sustainable development in urban environments …

Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic …

S Tariq, J Loy-Benitez, CK Yoo - Building and Environment, 2023 - Elsevier
The alarming rise in passenger traffic within underground subway stations has prompted
concerns about indoor air quality in these enclosed spaces. Implementing early warning …

Air quality monitoring and analysis for sustainable development of solid waste dump yards using smart drones and geospatial technology

RH Ranganathan, S Balusamy, P Partheeban, C Mani… - Sustainability, 2023 - mdpi.com
Air pollution has become a global health issue, affecting millions of people annually. It is
essential to obtain accurate and up-to-date information on air quality levels to reduce the …