References
- Collier-Oxandale, A., et al. Field and Laboratory Performance Evaluations of 28 Gas-Phase Air Quality Sensors by the AQ-SPEC Program. – Atmospheric Environment, Vol. 220, 2020, 117092.
- Kassandros, T., et al. Citizens in the Loop for Air Quality Monitoring in Thessaloniki, Greece. Advances and New Trends in Environmental Informatics. Cham, Springer, 2021, pp. 121-130.
- Chen, J., et al. Modeling Air Quality in the San Joaquin Valley of California during the 2013 Discover-AQ Field Campaign. – Atmospheric Environment. Vol. X, 2020, No 5, 100067.
- Huang, Y., et al. Evaluating In-Use Vehicle Emissions Using Air Quality Monitoring Stations and On-Road Remote Sensing Systems. – Science of the Total Environment, Vol. 740, 2020, 139868.
- Srivastava, M., R. Kumar. Smart Environmental Monitoring Based on IoT: Architecture, Issues, and Challenges. Advances in Computational Intelligence and Communication Technology. Singapore, Springer, 2021, pp. 349-358.
- Pereira, W. F., et al. Environmental Monitoring in a Poultry Farm Using an Instrument Developed with the Internet of Things Concept. – Computers and Electronics in Agriculture, Vol. 170, 2020, 105257.
- Salam, A. Internet of Things for Environmental Sustainability and Climate Change. – Internet of Things for Sustainable Community Development. Cham, Springer, 2020. pp. 33-69.
- Ha, Q. P., S. Metia, M. D. Phung. Sensing Data Fusion for Enhanced Indoor Air Quality Monitoring. – IEEE Sensors Journal, Vol. 20, 2020, No 8, pp. 4430-4441.
- Gomes, J. B., et al. A Novel Internet of Things‐Based Plug‐and‐Play Multigas Sensor for Environmental Monitoring. – Transactions on Emerging Telecommunications Technologies, 2020, e3967.
- Motlagh, N. H., et al. Toward Massive Scale Air Quality Monitoring. – IEEE Communications Magazine, Vol. 58, 2020, No 2, pp. 54-59.
- Esfahani, S., et al. Smart City Battery Operated IoT Based Indoor Air Quality Monitoring System. – 2020 IEEE Sensors. IEEE, 2020.
- Marques, G., C. R. Ferreira, R. Pitarma. Indoor Air Quality Assessment Using a CO2 Monitoring System Based on Internet of Things. – Journal of Medical Systems, Vol. 43, 2019, No 3, pp. 1-10.
- Dhingra, S., et al. Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair). – IEEE Internet of Things Journal, Vol. 6, 2019, No 3, pp. 5577-5584.
- Kim, S. H., et al. Development of an IoT-Based Atmospheric Environment Monitoring System. – In: Proc. of International Conference on Information and Communication Technology Convergence (ICTC’2017), IEEE, 2017.
- DelaBarrera, F., et al. Megafires in Chile 2017: Monitoring Multiscale Environmental Impacts of Burned Ecosystems. – Science of the Total Environment, Vol. 637, 2018, pp. 1526-1536.
- Ali, S., et al. Low-Cost Sensor with IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring. – IEEE Transactions on Instrumentation and Measurement, Vol. 70, 2020, pp. 1-11.
- Senthilkumar, R., P. Venkatakrishnan, N. Balaji. Intelligent Based Novel Embedded System Based IoT Enabled Air Pollution Monitoring System. – Microprocessors and Microsystems, Vol. 77, 2020, 103172.
- Lazrak, N., et al. Enabling Distributed Intelligence in Internet of Things: An Air Quality Monitoring Use Case. – Personal and Ubiquitous Computing, 2020, pp. 1-11.
- DeVito, S., et al. Adaptive Machine Learning Strategies for Network Calibration of IoT Smart Air Quality Monitoring Devices. – Pattern Recognition Letters, Vol. 136, 2020, pp. 264-271.
- Purkayastha, K. D., et al. IoT Based Design of Air Quality Monitoring System Web Server for Android Platform. – Wireless Personal Communications, 2021, pp. 1-20.
- Wan, J. B., R. M. A. Khan. An Internet of Things System for Underground Mine Air Quality Pollutant Prediction Based on Azure Machine Learning. – Sensors, Vol. 18, 2018, No 4, 930.
- Xu, Y., P. Du, J. Wang. Research and Application of a Hybrid Model Based on Dynamic Fuzzy Synthetic Evaluation for Establishing Air Quality Forecasting and Early Warning System: A Case Study in China. – Environmental Pollution, Vol. 223, 2017, pp. 435-448.
- Singh, P. H., D. Singh, A. K. Malhi. Multi-Objective Particle Swarm Optimization-Based Adaptive Neuro-Fuzzy Inference System for Benzene Monitoring. – Neural Computing and Applications, Vol. 31, 2019, No 7, pp. 2195-2205.
- Barot, V., V. Kapadia, S. Pandya. QoS Enabled IoT Based Low-Cost Air Quality Monitoring System with Power Consumption Optimization. – Cybernetics and Information Technologies, Vol. 20, 2020, No 2, pp. 122-140.
- Schürholz, D., S. Kubler, A. Zaslavsky. Artificial Intelligence-Enabled Context-Aware Air Quality Prediction for Smart Cities. – Journal of Cleaner Production, Vol. 271, 2020, 121941.
- Hu, Z., et al. Real-Time Fine-Grained Air Quality Sensing Networks in Smart City: Design, Implementation, and Optimization. – IEEE Internet of Things Journal, Vol. 6, 2019, No 5, pp. 7526-7542.
- Atmakuri, K. C., Y. V. R. Rao. An IOT Based Novel Approach to Predict Air Quality Index (AQI) Using Optimized Bayesian Networks. – Journal of Mechanics of Continua and Mathematical Sciences, 2019.
- Pandya, S., et al. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living. – Sensors, Vol. 20, 2020, No 18, p. 5448.
- Ameer, S., et al. Comparative Analysis of Machine Learning Techniques for Predicting Air Quality in Smart Cities. – IEEE Access, Vol. 7, 2019, pp.128325-128338.
- Moursi, A. S., N. El-Fishawy, S. Djahel, M. A. Shouman. An IoT Enabled System for Enhanced Air Quality Monitoring and Prediction on the Edge. – Complex & Intelligent Systems, Vol. 7, 2021, No 6, pp. 2923-2947.
- Saini, J., M. Dutta, G. Marques. ADFIST: Adaptive Dynamic Fuzzy Inference System Tree Driven by Optimized Knowledge Base for Indoor Air Quality Assessment. – Sensors, Vol. 22, 2022, No 3, p.1008.
