Gallos, P. et al. (2022). Designing a Cloud Based Platform for Monitoring Well-Being and Public Health in Areas with Natural Based Solutions. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham.
https://doi.org/10.1007/978-3-031-15101-9_7
Gallos, P., Menychtas, A., Panagopoulos, C., Bimpas, M., & Maglogiannis, I. (2022). Quantifying Citizens’ Well-Being in Areas with Natural Based Solutions Using Mobile Computing. In Informatics and Technology in Clinical Care and Public Health (pp. 465-468). IOS Press.
https://doi.org/10.3233/SHTI210958
Kavouras, Ι., Kaselimi, Μ., Protopapadakis, Ε., & Doulamis, Ν. (2021, October). Assessing the Lockdown Effects on Air Quality during COVID-19 Era. In Novelties in Intelligent Digital Systems: Proceedings of the 1st International Conference (NIDS 2021), Athens, Greece, September 30-October 1, 2021 (Vol. 338, p. 207). IOS Press.
https://ebooks.iospress.nl/doi/10.3233/FAIA210095
Govedarica, O., Stanic, F., Randelovic, A., (2021) Physically based modeling of infiltration in case of Nature Based Solutions / Fizički zasnovano modeliranje infiltracije kod prirodom inspirisanih rešenja. In the Proceedings of the 19th conference of the Serbian society for hydraulic research and Serbian society of hydrology (SDHI-SDH), Belgrade, Serbia, October 18-19, 2021 (pp. 395 -410)
http://hikom.grf.bg.ac.rs/SDHI/19-SDHI-SDH-ZBORNIK/Zbornik%2019%20SDHI-SDH_final.pdf
Kavouras, I., Kaselimi, M., Protopapadakis, E., & Doulamis, N. (2021, June). Machine Learning Tools to Assess the Impact of COVID-19 Civil Measures in Atmospheric Pollution. In The 14th Pervasive Technologies Related to Assistive Environments Conference (pp. 396-403).
https://doi.org/10.1145/3453892.3461327
Zafeiropoulos, C., Bimpas, M., Protopapadakis, E., Sardis, E., Doulamis, N., Doulamis, A., ... & Lalic, M. (2021). An Introduction to the euPOLIS Project. In Novelties in Intelligent Digital Systems (pp. 197-206). IOS Press.
https://ebooks.iospress.nl/doi/10.3233/FAIA210094
Koulouris D., Pardos A., Gallos P., Menychtas A., Maglogiannis I. (2022). Integrating AR and IoT Services into mHealth Applications for Promoting Wellbeing. In 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 148-153) IEEE.
https://doi.org/10.1109/WiMob55322.2022.9941578
Domaradzka A., Biesaga M., Domaradzka E., Kołodziejczyk M.(2022). The Civil City Framework for the Implementation of Nature-Based Smart Innovations: Right to a Healthy City Perspective. In Sustainability 14(16) (pp. 9887) MDPI.
https://doi.org/10.3390/su14169887
Solarek K., Domaradzka A., Zdunek-Wielgołaska J.(2023). Changing approaches to green infrastructure design: from modernism to the future: Warsaw case study. In URBAN DESIGN International 28 (pp. 202-219) Springer Nature
https://doi.org/10.1057/s41289-023-00220-5
Baki S., Kazantzi A., Makropoulos C.(2023). Investigating the implementation of NBS using an urban water metabolism approach: The case of Ralleion School. In Water Innovation and Circularity Conference (WICC)
https://doi.org/10.5194/egusphere-egu23-17125
Marinou E., Fotiou K., Voskopoulos G., Protopapadakis E., Sardis E., Baki S., Gallos P., Panagopoulos C., Katsorida E.(2023). A web-based application for the spatiotemporal monitoring of the impact of nature-based solutions on the urban environment and the well-being of citizens: the euPOLIS visualization platform. In Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023) Proc. SPIE 12786
https://doi.org/10.1117/12.2681915
Stanić F., Govedarica O., Jaćimović N., Lekić B., Ranđelović A. (2023). A Novel Semi‐Analytical (Inertial) Solution for Determining Permeability of Highly Pervious Porous Materials Using the Two‐Reservoir Laboratory Setup. In Water Resources Research (WRR) 59 Wiley
https://doi.org/10.1029/2022WR034158