Open Access
| Issue |
E3S Web Conf.
Volume 711, 2026
2026 2nd International Conference on Environmental Monitoring and Ecological Restoration (EMER 2026)
|
|
|---|---|---|
| Article Number | 02018 | |
| Number of page(s) | 5 | |
| Section | Ecological Restoration and Remediation | |
| DOI | https://doi.org/10.1051/e3sconf/202671102018 | |
| Published online | 19 May 2026 | |
- S. Koutra, C.S. loakimidis, Unveiling the potential of machine learning applications in urban planning challenges, Land, 12(1), 83 (2022). https://doi.org/10.3390/land12010083 [Google Scholar]
- A.A. Leema, P Balakrishnan, Detection and categorization of rice leaf diseases through federated learning and improved vision transformer models, J Wirel Mob Netw Ubiquitous Comput Dependable Appl, 15(4), 370–379 (2024). https://doi.org/10.58346/JOWUA.2024.I4.025 [Google Scholar]
- J. Yang, C. Li, L.S.H. Lo, X. Zhang, Z. Chen, J. Gao, J. Cheng, Artificial intelligence-assisted environmental DNA metabarcoding and high-resolution underwater optical imaging for noninvasive and innovative marine environmental monitoring, J Mar Sci Eng, 12(10), 1729 (2024). https://doi.org/10.3390/jmse12101729 [Google Scholar]
- B. Hadi, Convergence problems with Ansys's Solid 65 finite element in concrete-filled tubular (CFT) columns as a case study, Arch Tech Sci, 28(1), 29–38 (2023). https://doi.org/10.59456/afts.2023.1528.029B [Google Scholar]
- S. Hoffmann, Challenges and opportunities of area-based conservation in reaching biodiversity and sustainability goals, Biodivers Conserv, 31(2), 325–352 (2022). [Google Scholar]
- V.B. Khyade, R.J. Pawar, A.D. Khilare, Description of lycaenidae butterflies, Int Acad J Innov Res, 5(4), 9–25 (2018). https://doi.org/10.9756/IAJIR/V5I1/1810012 [Google Scholar]
- X. Yin, J. Li, S.N. Kadry, I. Sanz-Prieto, Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems, Environ Impact Assess Rev, 86(1), 106493 (2021). https://doi.org/10.1016/j.eiar.2020.106493 [Google Scholar]
- A.R. Khlefha, A comprehensive review of applications of spline function, Int Acad J Sci Eng, 11(1), 322–331 (2024). https://doi.org/10.9756/IAJSE/V11I1/IAJSE1138 [Google Scholar]
- F. Villa, K.J. Bagstad, B. Voigt, G.W. Johnson, R. Portela, M. Honzák, D. Batker, A methodology for adaptable and robust ecosystem services assessment, PLoS One, 9(3), e91001 (2014). https://doi.org/10.1371/journal.pone.0091001 [Google Scholar]
- N.A. Salman, S.S. Al-Noor, K.A. Khalaf, Comparative study of hormonal stimulation of hCG, PG-extract and ovaprim on thermal accumulation period and egg production in grass carp Ctenopharyngodon idella, Int J Aquat Res Environ Stud, 3(2), 99–108 (2023). https://doi.Org/10.70102/IJARES/V3I2/6 [Google Scholar]
- D. Kamrowska-Zaluska, Impact of AI-based tools and urban big data analytics on the design and planning of cities, Land, 10(11), 1209 (2021). https://doi.org/10.3390/land10111209 [Google Scholar]
- H. Jaiswal, S. Pradhan, the economic significance of ecosystem services in urban areas for developing nations, Aquat Ecosyst Environ Front, 1(1), 1–5 (2023). https://doi.org/10.70102/AEEF/V1I1/1 [Google Scholar]
- Taj, N. Zaman, Towards industrial revolution 5.0 and explainable artificial intelligence: challenges and opportunities, Int J Comput Digit Syst, 12(1), 295–320 (2022). https://doi.org/10.12785/ijcds/120124 [Google Scholar]
- C. Rojas, F. García, optimizing traffic flow in smart cities: a simulation-based approach using IoT and AI integration, Assoc JInterdiscip Tech Eng Mech, 2(1), 19–22 (2024). [Google Scholar]
- K. Guo, X. Zhang, J. Liu, Z. Wu, M. Chen, K. Zhang, Y Chen, Establishment of an integrated decision-making method for planning the ecological restoration of terrestrial ecosystems, Sci Total Environ, 741(1), 139852 (2020). https://doi.org/10.1016/j.scitotenv.2020.139852 [Google Scholar]
- A.F. Alkaim, M. Khan, Pharmacist-led medication therapy management: a review of its effectiveness in improving patient outcomes, Clin J Med Health Pharm, 2(4), 31–39 (2024). https://doi.org/10.1016/j.scitotenv.2020.139852 [Google Scholar]
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