Open Access
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
Article Number 01080
Number of page(s) 7
Published online 12 January 2024
  • O. Söderström, E. Blake, and N. Odendaal, “More-than-local, more-than-mobile: The smart city effect in South Africa,” Geoforum, vol. 122, pp. 103–117, Jun. 2021, doi: 10.1016/j.geoforum.2021.03.017. [CrossRef] [Google Scholar]
  • M. Lnenicka et al., “Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities,” Sustain Cities Soc, vol. 82, Jul. 2022, doi: 10.1016/j.scs.2022.103906. [CrossRef] [Google Scholar]
  • L. Li, A. Taeihagh, and S. Y. Tan, “What factors drive policy transfer in smart city development? Insights from a Delphi study,” Sustain Cities Soc, vol. 84, Sep. 2022, doi: 10.1016/j.scs.2022.104008. [Google Scholar]
  • Y. Shu, N. Deng, Y. Wu, S. Bao, and A. Bie, “Urban governance and sustainable development: The effect of smart city on carbon emission in China,” Technol Forecast Soc Change, vol. 193, Aug. 2023, doi: 10.1016/j.techfore.2023.122643. [PubMed] [Google Scholar]
  • X. Li, P. S. W. Fong, S. Dai, and Y. Li, “Towards sustainable smart cities: An empirical comparative assessment and development pattern optimization in China,” J Clean Prod, vol. 215, pp. 730–743, Apr. 2019, doi: 10.1016/j.jclepro.2019.01.046. [CrossRef] [Google Scholar]
  • S. Blasi, A. Ganzaroli, and I. De Noni, “Smartening sustainable development in cities: Strengthening the theoretical linkage between smart cities and SDGs,” Sustain Cities Soc, vol. 80, May 2022, doi: 10.1016/j.scs.2022.103793. [CrossRef] [Google Scholar]
  • Q. Guo, D. Zeng, and C. C. Lee, “Impact of smart city pilot on energy and environmental performance: China- based empirical evidence,” Sustain Cities Soc, vol. 97, Oct. 2023, doi: 10.1016/j.scs.2023.104731. [Google Scholar]
  • M. Duygan, M. Fischer, R. Pärli, and K. Ingold, “Where do Smart Cities grow? The spatial and socio-economic configurations of smart city development,” Sustain Cities Soc, vol. 77, Feb. 2022, doi: 10.1016/j.scs.2021.103578. [CrossRef] [Google Scholar]
  • A. Soo, L. Wang, C. Wang, and H. K. Shon, “MachIne learning for nutrient recovery in the smart city circular economy – A review,” Process Safety and Environmental Protection, vol. 173, pp. 529–557, May 2023, doi: 10.1016/j.psep.2023.02.065. [CrossRef] [Google Scholar]
  • S. Siddiqui, S. Hameed, S. A. Shah, A. K. Khan, and A. Aneiba, “Smart contract-based security architecture for collaborative services in municipal smart cities[Formula presented],” Journal of Systems Architecture, vol. 135, Feb. 2023, doi: 10.1016/j.sysarc.2022.102802. [CrossRef] [Google Scholar]
  • A. A. Kutty, T. G. Wakjira, M. Kucukvar, G. M. Abdella, and N. C. Onat, “Urban resilience and livability performance of European smart cities: A novel machine learning approach,” J Clean Prod, vol. 378, Dec. 2022, doi: 10.1016/j.jclepro.2022.134203. [CrossRef] [Google Scholar]
  • J. A. Ivars-Baidal, M. A. Celdrán-Bernabeu, F. Femenia-Serra, J. F. Perles-Ribes, and J. F. Vera-Rebollo, “Smart city and smart destination planning: Examining instruments and perceived impacts in Spain,” Cities, vol. 137, Jun. 2023, doi: 10.1016/j.cities.2023.104266. [Google Scholar]
  • A. A. Kutty, M. Kucukvar, N. C. Onat, B. Ayvaz, and G. M. Abdella, “Measuring sustainability, resilience and livability performance of European smart cities: A novel fuzzy expert-based multi-criteria decision support model,” Cities, vol. 137, Jun. 2023, doi: 10.1016/j.cities.2023.104293. [CrossRef] [Google Scholar]
  • T. Song, J. Dian, and H. Chen, “Can smart city construction improve carbon productivity? —A quasi-natural experiment based on China’s smart city pilot,” Sustain Cities Soc, vol. 92, May 2023, doi: 10.1016/j.scs.2023.104478. [CrossRef] [Google Scholar]
  • A. R. Javed et al., “Future smart cities requirements, emerging technologies, applications, challenges, and future aspects,” Cities, vol. 129, Oct. 2022, doi: 10.1016/j.cities.2022.103794. [CrossRef] [Google Scholar]
  • “A Comparative Study of Digital City Development Using the Data-Driven Smart City Index - Search |” Accessed: Oct. 27, 2023. [Online]. Available: [Google Scholar]
  • D. Zhang, L. G. Pee, S. L. Pan, and L. Cui, “Big data analytics, resource orchestration, and digital sustainability: A case study of smart city development,” Gov Inf Q, vol. 39, no. 1, Jan. 2022, doi: 10.1016/j.giq.2021.101626. [Google Scholar]
  • F. Wang, “Does the construction of smart cities make cities green? Evidence from a quasi-natural experiment in China,” Cities, vol. 140, Sep. 2023, doi: 10.1016/j.cities.2023.104436. [Google Scholar]
  • R. Mortaheb and P. Jankowski, “Smart city re-imagined: City planning and GeoAI in the age of big data,” Journal of Urban Management, vol. 12, no. 1, pp. 4–15, Mar. 2023, doi: 10.1016/j.jum.2022.08.001. [CrossRef] [Google Scholar]
  • M. M. Osowska, “Smartphone, startup, laboratory - What ambitions and visions do local government officials express by their smart city stories? Case study of Polish cities,” Cities, vol. 140, Sep. 2023, doi: 10.1016/j.cities.2023.104438. [CrossRef] [Google Scholar]
  • H. Jiang, S. Geertman, and P. Witte, “The contextualization of smart city technologies: An international comparison,” Journal of Urban Management, vol. 12, no. 1, pp. 33–43, Mar. 2023, doi: 10.1016/j.jum.2022.09.001. [CrossRef] [Google Scholar]
  • R. D. Orejon-Sanchez, D. Crespo-Garcia, J. R. Andres-Diaz, and A. Gago-Calderon, “Smart cities’ development in Spain: A comparison of technical and social indicators with reference to European cities,” Sustain Cities Soc, vol. 81, Jun. 2022, doi: 10.1016/j.scs.2022.103828. [Google Scholar]
  • H. Zhu, L. Shen, and Y. Ren, “How can smart city shape a happier life? The mechanism for developing a Happiness Driven Smart City,” Sustain Cities Soc, vol. 80, May 2022, doi: 10.1016/j.scs.2022.103791. [Google Scholar]
  • C. Kim and K. A. Kim, “The institutional change from E-Government toward Smarter City; comparative analysis between royal borough of Greenwich, UK, and Seongdong-gu, South Korea,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 7, no. 1, pp. 1–33, Mar. 2021, doi: 10.3390/joitmc7010042. [CrossRef] [Google Scholar]
  • P. Hajek, A. Youssef, and V. Hajkova, “Recent developments in smart city assessment: A bibliometric and content analysis-based literature review,” Cities, vol. 126, Jul. 2022, doi: 10.1016/j.cities.2022.103709. [CrossRef] [Google Scholar]
  • Md. Z. ul Haq, H. Sood, and R. Kumar, “Effect of using plastic waste on mechanical properties of fly ash based geopolymer concrete,” Mater Today Proc, 2022. [Google Scholar]
  • H. Sood, R. Kumar, P. C. Jena, and S. K. Joshi, “Optimizing the strength of geopolymer concrete incorporating waste plastic,” Mater Today Proc, 2023. [Google Scholar]
  • H. Sood, R. Kumar, P. C. Jena, and S. K. Joshi, “Eco-friendly approach to construction: Incorporating waste plastic in geopolymer concrete,” Mater Today Proc, 2023. [Google Scholar]
  • K. Kumar et al., “Understanding Composites and Intermetallic: Microstructure, Properties, and Applications,” in E3S Web of Conferences, EDP Sciences, 2023, p. 01196. [Google Scholar]
  • K. Kumar et al., “Breaking Barriers: Innovative Fabrication Processes for Nanostructured Materials and Nano Devices,” in E3S Web of Conferences, EDP Sciences, 2023, p. 01197. [Google Scholar]
  • M. Z. ul Haq et al., “Sustainable Infrastructure Solutions: Advancing Geopolymer Bricks via Eco-Polymerization of Plastic Waste,” in E3S Web of Conferences, EDP Sciences, 2023, p. 01203. [Google Scholar]
  • M. Z. ul Haq et al., “Geopolymerization of Plastic Waste for Sustainable Construction: Unveiling Novel Opportunities in Building Materials,” in E3S Web of Conferences, EDP Sciences, 2023, p. 01204. [Google Scholar]
  • G. Upadhyay et al., “Development of Carbon Nanotube (CNT)-Reinforced Mg Alloys: Fabrication Routes and Mechanical Properties,” Metals (Basel), vol. 12, no. 8, Aug. 2022, doi: 10.3390/MET12081392. [CrossRef] [Google Scholar]
  • S. Bali et al., “A framework to assess the smartphone buying behaviour using DEMATEL method in the Indian context,” Ain Shams Engineering Journal, 2023, doi: 10.1016/J.ASEJ.2023.102129. [Google Scholar]
  • Y. Kaushik, V. Verma, K. K. Saxena, C. Prakash, L. R. Gupta, and S. Dixit, “Effect of Al2O3 Nanoparticles on Performance and Emission Characteristics of Diesel Engine Fuelled with Diesel–Neem Biodiesel Blends,” Sustainability (Switzerland), vol. 14, no. 13, Jul. 2022, doi: 10.3390/SU14137913. [Google Scholar]
  • H. D. Nguyen et al., “A critical review on additive manufacturing of Ti-6Al-4V alloy: Microstructure and mechanical properties,” Journal of Materials Research and Technology, vol. 18, pp. 4641–4661, May 2022, doi: 10.1016/J.JMRT.2022.04.055. [CrossRef] [Google Scholar]
  • R. Gera et al., “A systematic literature review of supply chain management practices and performance,” Mater Today Proc, vol. 69, pp. 624–632, Jan. 2022, doi: 10.1016/J.MATPR.2022.10.203. [CrossRef] [Google Scholar]
  • A. Jaswal et al., “Synthesis and Characterization of Highly Transparent and Superhydrophobic Zinc Oxide (ZnO) Film,” Lecture Notes in Mechanical Engineering, pp. 119–127, 2023, doi: 10.1007/978-981-19-4147-4_12. [Google Scholar]
  • Dihom, H.R., Al-Shaibani, M.M., Mohamed, R.M.S.R., Al-Gheethi, A.A., Sharma, A. and Khamidun, M.H.B., 2022. Photocatalytic degradation of disperse azo dyes in textile wastewater using green zinc oxide nanoparticles synthesized in plant extract: A critical review. Journal of Water Process Engineering, 47, p.102705. [CrossRef] [Google Scholar]
  • Nguyen, H.D., Pramanik, A., Basak, A.K., Dong, Y., Prakash, C., Debnath, S., Shankar, S., Jawahir, I.S., Dixit, S. and Buddhi, D., 2022. A critical review on additive manufacturing of Ti-6Al-4V alloy: Microstructure and mechanical properties. Journal of Materials Research and Technology, 18, pp.4641-4661. [CrossRef] [Google Scholar]
  • Singh, P., Singh, A. and Quraishi, M.A., 2016. Thiopyrimidine derivatives as new and effective corrosion inhibitors for mild steel in hydrochloric acid: Electrochemical and quantum chemical studies. Journal of the Taiwan Institute of Chemical Engineers, 60, pp.588-601. [CrossRef] [Google Scholar]
  • Uddin, M.S., Tewari, D., Al Mamun, A., Kabir, M.T., Niaz, K., Wahed, M.I.I., Barreto, G.E. and Ashraf, G.M., 2020. Circadian and sleep dysfunction in Alzheimer’s disease. Ageing Research Reviews, 60, p.101046. [CrossRef] [PubMed] [Google Scholar]
  • Nagaraju, M. and Chawla, P., 2020. Systematic review of deep learning techniques in plant disease detection. International journal of system assurance engineering and management, 11, pp.547-560. [Google Scholar]

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