Open Access
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
Article Number 01101
Number of page(s) 8
Published online 12 January 2024
  • S. Sharif, S. Zeadally, and W. Ejaz, “Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G,” Journal of Network and Computer Applications, vol. 215, Jun. 2023, doi: 10.1016/j.jnca.2023.103647. [CrossRef] [Google Scholar]
  • A. S. Ibrahim, K. Y. Youssef, A. H. Eldeeb, M. Abouelatta, and H. Kamel, “Adaptive aggregation based IoT traffic patterns for optimizing smart city network performance,” Alexandria Engineering Journal, vol. 61, no. 12, pp. 9553–9568, Dec. 2022, doi: 10.1016/j.aej.2022.03.037. [CrossRef] [Google Scholar]
  • J. Zhan, S. Dong, and W. Hu, “IoE-supported smart logistics network communication with optimization and security,” Sustainable Energy Technologies and Assessments, vol. 52, Aug. 2022, doi: 10.1016/j.seta.2022.102052. [CrossRef] [Google Scholar]
  • X. Pan, J. Tang, T. Yu, J. Cai, Y. Xiong, and F. Gao, “Reposition optimization in the free-floating bike-sharing system considering transferring travels from urban rail transit,” Comput Ind Eng, vol. 178, Apr. 2023, doi: 10.1016/j.cie.2023.109127. [Google Scholar]
  • L. Barth, L. Schweiger, R. Benedech, and M. Ehrat, “From data to value in smart waste management: Optimizing solid waste collection with a digital twin-based decision support system,” Decision Analytics Journal, p. 100347, Oct. 2023, doi: 10.1016/J.DAJOUR.2023.100347. [Google Scholar]
  • O. P. Agboola, F. M. Bashir, Y. A. Dodo, M. A. S. Mohamed, and I. S. R. Alsadun, “The influence of information and communication technology (ICT) on stakeholders’ involvement and smart urban sustainability,” Environmental Advances, vol. 13, Oct. 2023, doi: 10.1016/j.envadv.2023.100431. [CrossRef] [Google Scholar]
  • P. Thantharate, A. Thantharate, and A. Kulkarni, “GREENSKY: A Fair Energy-Aware Optimization Model for UAVs in Next-Generation Wireless Networks,” Green Energy and Intelligent Transportation, p. 100130, Oct. 2023, doi: 10.1016/J.GEITS.2023.100130. [Google Scholar]
  • X. Zhao, M. Liu, and M. Li, “Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning,” Ad Hoc Networks, vol. 147, Aug. 2023, doi: 10.1016/j.adhoc.2023.103193. [CrossRef] [Google Scholar]
  • A. H. Salem, I. W. Damaj, and H. T. Mouftah, “Vehicle as a Computational Resource: Optimizing Quality of Experience for connected vehicles in a smart city,” Vehicular Communications, vol. 33, Jan. 2022, doi: 10.1016/j.vehcom.2021.100432. [CrossRef] [Google Scholar]
  • L. Wang, M. Xu, and H. Qin, “Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery,” Transportation Research Part B: Methodological, vol. 171, pp. 111–135, May 2023, doi: 10.1016/j.trb.2023.03.007. [CrossRef] [Google Scholar]
  • X. Zhu, X. Zhang, P. Gong, and Y. Li, “A review of distributed energy system optimization for building decarbonization,” Journal of Building Engineering, vol. 73, Aug. 2023, doi: 10.1016/j.jobe.2023.106735. [Google Scholar]
  • B. Yu and X. Zhou, “Urban administrative hierarchy and urban land use efficiency: Evidence from Chinese cities,” International Review of Economics and Finance, vol. 88, pp. 178–195, Nov. 2023, doi: 10.1016/j.iref.2023.06.033. [CrossRef] [Google Scholar]
  • C. Liu et al., “Supporting virtual power plants decision-making in complex urban environments using reinforcement learning,” Sustain Cities Soc, vol. 99, Dec. 2023, doi: 10.1016/j.scs.2023.104915. [Google Scholar]
  • Z. Cai, Y. Kwak, V. Cvetkovic, B. Deal, and U. Mörtberg, “Urban spatial dynamic modeling based on urban amenity data to inform smart city planning,” Anthropocene, vol. 42, Jun. 2023, doi: 10.1016/j.ancene.2023.100387. [Google Scholar]
  • “Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test - Search |” Accessed: Nov. 04, 2023. [Online]. Available: [Google Scholar]
  • K. Raghavendar, I. Batra, and A. Malik, “A robust resource allocation model for optimizing data skew and consumption rate in cloud-based IoT environments,” Decision Analytics Journal, vol. 7, Jun. 2023, doi: 10.1016/j.dajour.2023.100200. [CrossRef] [Google Scholar]
  • Z. E. Ahmed, A. A. Hashim, R. A. Saeed, and M. M. Saeed, “Mobility management enhancement in smart cities using software defined networks,” Sci Afr, vol. 22, Nov. 2023, doi: 10.1016/j.sciaf.2023.e01932. [Google Scholar]
  • Z. Wang, L. Huang, S. Yang, X. Luo, D. He, and S. Chan, “Multi-strategy enhanced grey wolf algorithm for obstacle-aware WSNs coverage optimization,” Ad Hoc Networks, vol. 152, Jan. 2024, doi: 10.1016/j.adhoc.2023.103308. [Google Scholar]
  • S. Li et al., “Improving air quality through urban form optimization: A review study,” Build Environ, vol. 243, Sep. 2023, doi: 10.1016/j.buildenv.2023.110685. [Google Scholar]
  • T. Yang, Z. Chu, and B. Wang, “Feasibility on the integration of passenger and freight transportation in rural areas: A service mode and an optimization model,” Socioecon Plann Sci, vol. 88, Aug. 2023, doi: 10.1016/j.seps.2023.101665. [CrossRef] [Google Scholar]
  • P. He, N. Almasifar, A. Mehbodniya, D. Javaheri, and J. L. Webber, “Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review,” Sustainable Computing: Informatics and Systems, vol. 36, Dec. 2022, doi: 10.1016/j.suscom.2022.100822. [Google Scholar]
  • O. P. Agboola and M. Tunay, “Urban resilience in the digital age: The influence of Information- Communication Technology for sustainability,” J Clean Prod, vol. 428, Nov. 2023, doi: 10.1016/j.jclepro.2023.139304. [CrossRef] [Google Scholar]
  • M. M. H. Sifat, S. K. Das, and S. M. Choudhury, “Design, development, and optimization of a conceptual framework of digital twin electric grid using systems engineering approach,” Electric Power Systems Research, vol. 226, Jan. 2024, doi: 10.1016/j.epsr.2023.109958. [Google Scholar]
  • M. S. Dahal, “Energy saving in 5G mobile communication through traffic driven cell zooming strategy,” Energy Nexus, vol. 5, Mar. 2022, doi: 10.1016/ [CrossRef] [Google Scholar]
  • A. Afshari, “Optimization of urban design/retrofit scenarios using a computationally light standalone urban energy/climate model (SUECM) forced by ERA5 data,” Energy Build, vol. 287, May 2023, doi: 10.1016/j.enbuild.2023.112991. [CrossRef] [Google Scholar]
  • Q. Wu, “Optimization of AI-driven communication systems for green hospitals in sustainable cities,” Sustain Cities Soc, vol. 72, Sep. 2021, doi: 10.1016/j.scs.2021.103050. [Google Scholar]
  • C. T. Yang, H. W. Chen, E. J. Chang, E. Kristiani, K. L. P. Nguyen, and J. S. Chang, “Current advances and future challenges of AIoT applications in particulate matters (PM) monitoring and control,” J Hazard Mater, vol. 419, Oct. 2021, doi: 10.1016/j.jhazmat.2021.126442. [Google Scholar]
  • A. Kalla, C. de Alwis, P. Porambage, G. Gür, and M. Liyanage, “A survey on the use of blockchain for future 6G: Technical aspects, use cases, challenges and research directions,” J Ind Inf Integr, vol. 30, Nov. 2022, doi: 10.1016/j.jii.2022.100404. [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]
  • A. Kumar, N. Mathur, V. S. Rana, H. Sood, and M. Nandal, “Sustainable effect of polycarboxylate ether based admixture: A meticulous experiment to hardened concrete,” Mater Today Proc, 2022. [Google Scholar]
  • M. Nandal, H. Sood, P. K. Gupta, and M. Z. U. Haq, “Morphological and physical characterization of construction and demolition waste,” 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]
  • 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]
  • V. S. Rana et al., “Correction: Assortment of latent heat storage materials using multi criterion decision making techniques in Scheffler solar reflector (International Journal on Interactive Design and Manufacturing (IJIDeM), (2023), 10.1007/s12008-023-01456-9),” International Journal on Interactive Design and Manufacturing, 2023, doi: 10.1007/S12008-023-01518-Y. [Google Scholar]
  • H. Bindu Katikala, T. Pavan Kumar, B. Manideep Reddy, B. V.V.Pavan Kumar, G. Ramana Murthy, and S. Dixit, “Design of half adder using integrated leakage power reduction techniques,” Mater Today Proc, vol. 69, pp. 576–581, Jan. 2022, doi: 10.1016/J.MATPR.2022.09.425. [CrossRef] [Google Scholar]
  • L. Das et al., “Determination of Optimum Machining Parameters for Face Milling Process of Ti6A14V Metal Matrix Composite,” Materials, vol. 15, no. 14, Jul. 2022, doi: 10.3390/MA15144765. [PubMed] [Google Scholar]
  • J. Singh et al., “Computational parametric investigation of solar air heater with dimple roughness in S- shaped pattern,” International Journal on Interactive Design and Manufacturing, 2023, doi: 10.1007/S12008-023-01392-8. [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]

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