Air quality monitoring and forecasting using smart drones and recurrent neural network for sustainable development in Chennai city

RR Hemamalini, R Vinodhini, B Shanthini… - Sustainable Cities and …, 2022 - Elsevier
Air quality monitoring is essential due to increased pollution and health hazards in today's
world. Several studies are being conducted to evaluate air quality in metropolitan cities, but …

Air pollution forecasting based on wireless communications

MJ Fadhil, SK Gharghan, TR Saeed - Environmental Monitoring and …, 2023 - Springer
The development of contemporary artificial intelligence (AI) methods such as artificial neural
networks (ANNs) has given researchers around the world new opportunities to address …

Optimization of air pollution measurements with unmanned aerial vehicle low-cost sensor based on an inductive knowledge management method

S Pochwała, S Anweiler, A Deptuła, A Gardecki… - Optimization and …, 2021 - Springer
The article presents the study of Particulate Matter air pollution with PM 1, PM 2, 5 and PM
10 by means of a low-cost sensors mounted on Unmanned Aerial Vehicles. The article is …

Improved A-Star Search Algorithm for Probabilistic Air Pollution Detection Using UAVs

I Ha - Sensors, 2024 - mdpi.com
Recently, air pollution problems in urban areas have become serious, and unmanned aerial
vehicles (UAVs) can be used to monitor air pollution because they can perform spatial …

Identifying spatiotemporal information of the point pollutant source indoors based on the adjoint-regularization method

Y Jing, F Li, Z Gu, S Tang - Building Simulation, 2023 - Springer
Fast and accurate identification of the pollutant source location and release rate is important
for improving indoor air quality. From the perspective of public health, identification of the …

Concentration map reconstruction for gas source location using nano quadcopters: Metal oxide semiconductor sensor implementation and indoor experiments …

A Bouras, A Gutierrez-Galvez, J Burgués, Y Bouzid… - Measurement, 2023 - Elsevier
In this paper, we present a mobile gas monitoring system based on Nano-drones to map
indoors gas distributions and to locate the gas source. The system combines a gas sensing …

Adaptive observer-based fault detection and fault-tolerant control of quadrotors under rotor failure conditions

YH Lien, CC Peng, YH Chen - Applied Sciences, 2020 - mdpi.com
Featured Application This method provides a rotor fault detection and fault tolerance control
mechanism for a quadrotor to achieve safety flight even in the presence of single rotor loss …

Leakage identification and correlation coefficient method for industrial workshop production process combining with computational fluid dynamics

Y Wang, F Liu, Z Long, W Liu - Indoor and Built Environment, 2024 - journals.sagepub.com
Identifying leakage sources in industrial factory production is crucial to improving air quality,
ensuring people's health and safety and preventing safety accidents. In this study, a method …

From laboratory to in-situ 3D measurements of complex pollution states in the city: Introducing a general concept using compact multisensory assemblies on UAVs

R Lugassi, A Blank, I Rogozovsky, K Ohneiser… - Atmospheric …, 2022 - Elsevier
In the city, it is still a challenge to implement a mobile measurement device to accurately
monitor its complex pollution state. Current research proposes new technological …

Agent-based autonomous pollution source localization for complex environment

D Xiao, Y Wang, Z Cheng - Journal of Ambient Intelligence and …, 2021 - Springer
Pollution source localization is important prerequisites for source control, pollution isolation,
purification, and emergency evacuation. Most available studies on pollution source …