Open Access
| Issue |
E3S Web Conf.
Volume 719, 2026
International Forum of Global Advances in Sustainable Environment, Energy, and Earth Sciences (GASES 2026)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 8 | |
| Section | Sustainable Resource Management | |
| DOI | https://doi.org/10.1051/e3sconf/202671901004 | |
| Published online | 16 June 2026 | |
- J. Jayanthi, K. A. Kumar, AI-Driven Restoration: Enhancing Biodiversity Conservation and Ecosystem Resilience, In Explainable AI (XAI) for Sustainable Development, 180–193, Chapman and Hall/CRC (2024). [Google Scholar]
- K. N. Shivaprakash, N. Swami, S. Mysorekar, R. Arora, A. Gangadharan, K. Vohra, J.M. Kiesecker, Potential for artificial intelligence (AI) and machine learning (ML) applications in biodiversity conservation, managing forests, and related services in India, Sustainability 14(12), 7154 (2022). [Google Scholar]
- G. Shaimerdenova, A. Zhidebayeva, A. Aliyeva, G. Kazbekova, M. Amirov, B. Jakhanova, N. Sarsenbiyeva, Artificial intelligence for environmental sustainability: Applications in climate modelling, resource management, and green technologies, E3S Web of Conferences 670, 05006, EDP Sciences (2025). [Google Scholar]
- D. Silvestro, S. Goria, T. Sterner, A. Antonelli, Improving biodiversity protection through artificial intelligence, Nature sustainability 5(5), 415–424 (2022). [Google Scholar]
- M. Yerekesheva, O. Akhmetova, A. Kaziyeva, D. Sultan, A. Toktarova, R. Abdrakhmanov, T. Abdimukhan, A Hybrid BERT-CNN with Multihead Self-Attention for Automated Cyberbullying Detection, Engineering, Technology & Applied Science Research 16(1), 30716–30724 (2026). [Google Scholar]
- Y. Forouheshfar, R. Ayadi, O. Moghadas, Enhancing system resilience to climate change through artificial intelligence: A systematic literature review, Frontiers in Climate 7, 1585331 (2025). [Google Scholar]
- J. Kitzes, L. Chronister, C. Czarnecki, C. Fiss, L. Freeland‐Haynes, B.D. Goodman, L. Viotti, Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics, Methods in Ecology and Evolution (2025). [Google Scholar]
- M. Sefawe, S. Ganti, J. Segalla, E. He, I. Tourner, J. Gersey, A Structured Review of Fixed and Multimodal Sensing Techniques for Bat Monitoring, arXiv preprint arXiv:2512.07153 (2025). [Google Scholar]
- M. Abbas, A. M. Khan, M. M. S. U. Khan, I. Ishaque, A. Irshad, M. U. Sundhu, S. Rafique, Integrative Zoology in the 21st Century: Unifying Genomics, eDNA, Morphology, Behavior, Biologging, Bioacoustics, Remote Sensing, and AI for Global Biodiversity Discovery and Conservation, Haya Saudi J Life Sci 10(9), 414–437 (2025). [Google Scholar]
- B. G. Bekualykyzy, Z. A. Zhakypkyzy, T. Nurbolat, K. Alimhan, T. Sherzod, S. G. Smakhulovna, Control of nonlinear system by means of feedback using the Python-control library, 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST), 164-168, IEEE (2024). [Google Scholar]
- M. R. Sareddy, S. Khan, AI Climate Toolkit for Predictive Analytics, Risk Mitigation, Ecosystem Restoration, and Sustainable Urban Future, In Transforming Business Through Digital Sustainability Models, 239-272, IGI Global Scientific Publishing (2025). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

