3D at Depth. (n.d.). Applications: Deep-sea mining. https://www.3datdepth.com/applications/deep-sea-mining
Blanchard C. Harrould-Kolieb E. Jones E. Taylor M. L. (2023). The current status of deep-sea mining governance at the International Seabed Authority.Marine Policy, 147, 105396. 10.1016/j.marpol.2022.105396
Bräger S. Rodriguez G. Q. R. Mulsow S. (2020). The current status of environmental requirements for deep seabed mining issued by the International Seabed Authority.Marine Policy, 114, 103258. 10.1016/j.marpol.2018.09.003
Briones E. E. (2023). Deep-Sea Life. In Mexican Fauna in the Anthropocene (pp. 319–331). Springer International Publishing. 10.1007/978-3-031-17277-9_15
Center for Biological Diversity. (n.d.). Center for Biological Diversity. https://www.biologicaldiversity.org
Chen Q. Yang J. Zhao W. Tao L. Mao J. Li Z. (2024). Algorithms for dynamic control of a deep-sea mining vehicle based on deep reinforcement learning.Ocean Engineering, 298, 117199. 10.1016/j.oceaneng.2024.117199
Cong Y. Gu C. Zhang T. Gao Y. (2021). Underwater robot sensing technology: A survey.Fundamental Research (Beijing), 1(3), 337–345. 10.1016/j.fmre.2021.03.002
Cronan, D. S. (2024). The Post-Second World War Deep-Sea Minerals Scene. Deep-Sea Minerals Developments in the 20th Century, 3-15.
Danovaro R. Fanelli E. Aguzzi J. Billett D. Carugati L. Corinaldesi C. Dell’Anno A. Gjerde K. Jamieson A. J. Kark S. McClain C. Levin L. Levin N. Ramirez-Llodra E. Ruhl H. Smith C. R. Snelgrove P. V. R. Thomsen L. Van Dover C. L. Yasuhara M. (2020). Ecological variables for developing a global deep-ocean monitoring and conservation strategy.Nature Ecology & Evolution, 4(2), 181–192. 10.1038/s41559-019-1091-z32015428
Guo X. Fan N. Liu Y. Liu X. Wang Z. Xie X. Jia Y. (2023). Deep seabed mining: Frontiers in engineering geology and environment.International Journal of Coal Science & Technology, 10(1), 23. 10.1007/s40789-023-00580-x
Hallgren A. Hansson A. (2021). Conflicting narratives of deep sea mining.Sustainability (Basel), 13(9), 5261. 10.3390/su13095261
Heinrich L. Singh P. Stegen K. S. Markus T. (2024). Mind the gap and close it: Regulating greenhouse gas emissions from deep-sea mining in the Area.Marine Policy, 160, 105929. 10.1016/j.marpol.2023.105929
Janarthanan C. Chandran V. Sundaramoorthi V. Vishwanath B. O. Venkatesan K. Muthuvel P. Ramadass G. A. (2022, February). Light Weight Nodule Collection System for Deep Sea Mining Machine. In OCEANS 2022-Chennai (pp. 1–7). IEEE.
Jones D. O. Kaiser S. Sweetman A. K. Smith C. R. Menot L. Vink A. Trueblood D. Greinert J. Billett D. S. M. Arbizu P. M. Radziejewska T. Singh R. Ingole B. Stratmann T. Simon-Lledó E. Durden J. M. Clark M. R. (2017). Biological responses to disturbance from simulated deep-sea polymetallic nodule mining.PLoS One, 12(2), e0171750. 10.1371/journal.pone.017175028178346
Kang Y. Su Q. Liu S. (2022). On the axial thrust and hydraulic performance of a multistage lifting pump for deep-sea mining.Ocean Engineering, 265, 112534. 10.1016/j.oceaneng.2022.112534
Katona S. Paulikas D. Ali S. Clarke M. Ilves E. Lovejoy T. E. Madin L. P. Stone G. S. (2023). Land and deep-sea mining: The challenges of comparing biodiversity impacts.Biodiversity and Conservation, 32(4), 1125–1164. 10.1007/s10531-023-02558-2
Leng D. Shao S. Xie Y. Wang H. Liu G. (2021). A brief review of recent progress on deep sea mining vehicle.Ocean Engineering, 228, 108565. 10.1016/j.oceaneng.2020.108565
Liang W. Lou M. Chen Z. Qin H. Zhang C. Cui C. Wang Y. (2024). An enhanced ant colony optimization algorithm for global path planning of deep-sea mining vehicles.Ocean Engineering, 301, 117415. 10.1016/j.oceaneng.2024.117415
Liu Z. Liu K. Chen X. Ma Z. Lv R. Wei C. Ma K. (2023). Deep-sea rock mechanics and mining technology: State of the art and perspectives.International Journal of Mining Science and Technology, 33(9), 1083–1115. 10.1016/j.ijmst.2023.07.007
Lodge M. W. Verlaan P. A. (2018). Deep-sea mining: International regulatory challenges and responses.Elements (Quebec), 14(5), 331–336. 10.2138/gselements.14.5.331
London School of Economics and Political Science. (n.d.). London School of Economics and Political Science. Retrieved from https://www.lse.ac.uk
Madureira P. Squires D. Ribeiro L. P. (2023). The International Seabed Authority and the United Nations 2030 Agenda for sustainable development.Resources Policy, 86, 104166. 10.1016/j.resourpol.2023.104166
Mongabay. (n.d.). Mongabay: Environmental news. Retrieved from https://www.mongabay.com
Muhammad A. Wu T. (2023). Examining the evacuation routes of the sister village program by using the ant colony optimization algorithm.Open Geosciences, 15(1), 20220512. 10.1515/geo-2022-0512
Nyka, M. (2020). International Seabed Authority and Environmental Deep-Sea Stewardship–Principles Governing the Protection and Use of Seabed Resources. Prawo Morskie, 9-20.
Orcutt B. N. Bradley J. A. Brazelton W. J. Estes E. R. Goodall J. M. Huber J. A. Pachiadaki M. (2020). Impacts of deep‐sea mining on microbial ecosystem services.Limnology and Oceanography, 65(7), 1489–1510. 10.1002/lno.11403
Sakellariadou F. Gonzalez F. J. Hein J. R. Rincón-Tomás B. Arvanitidis N. Kuhn T. (2022). Seabed mining and blue growth: Exploring the potential of marine mineral deposits as a sustainable source of rare earth elements (MaREEs)(IUPAC Technical Report).Pure and Applied Chemistry, 94(3), 329–351. 10.1515/pac-2021-0325
Saranya, P. V. P, R. Maheswari, P. Palanisamy and J. Mani, “Intelligent System for Improving Scalability by Sharding for Agriculture Supply Chain,” 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2024, pp. 1-6.
Saranya P. Shirly S. Logeshwari V. “Development of a Blockchain Vehicle Manufacturing Network Using Hyperledger Composer,” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2023, pp. 1-9, 10.1109/ICSES60034.2023.10465503
Selvi S. Aggarwal K. Pandurangan R. Vijayan V. P. Ali A. Anuradha K. (2024). Enhancing the accuracy of target detection in remote video surveillance analytics through federated learning.Optical and Quantum Electronics, 56(2), 185. 10.1007/s11082-023-05664-1
Sharma R. (2011). Deep-sea mining: Economic, technical, technological, and environmental considerations for sustainable development.Marine Technology Society Journal, 45(5), 28–41. 10.4031/MTSJ.45.5.2
Sharma R. (Ed.). (2019). Environmental issues of deep-sea mining: impacts, consequences and policy perspectives. Springer. 10.1007/978-3-030-12696-4
Silva-Send, N. (2024). Deep Sea Mining in the Area Beyond National Jurisdiction–A Lost Opportunity or Yet Another Reason for the United States to Join UNCLOS?. San Diego Legal Studies Paper, (24-011).
Singh P. A. (2022). Deep seabed mining and sustainable development goal 14. In Life Below Water (pp. 271–283). Springer International Publishing. 10.1007/978-3-319-98536-7_135
Spearman J. Taylor J. Crossouard N. Cooper A. Turnbull M. Manning A. Lee M. Murton B. (2020). Measurement and modeling of deep-sea sediment plumes and implications for deep sea mining.Scientific Reports, 10(1), 5075. 10.1038/s41598-020-61837-y32193479
Toro N. Robles P. Jeldres R. I. (2020). Seabed mineral resources, an alternative for the future of renewable energy: A critical review.Ore Geology Reviews, 126, 103699. 10.1016/j.oregeorev.2020.103699
Van Der Grient J. M. A. Drazen J. C. (2021). Potential spatial intersection between high-seas fisheries and deep-sea mining in international waters.Marine Policy, 129, 104564. 10.1016/j.marpol.2021.104564
Verma B. Yudheksha G. K. Sanjana Reddy P. Vignesh U. (2023). An Intelligent Flood Automation System Using IoT and Machine Learning. In Recent Developments in Electronics and Communication Systems (pp. 444–449). IOS Press. 10.3233/ATDE221295
Vignesh, U., & Ratnakumar, R. (2024). An Empirical Review on Clustering Algorithms for Image Segmentation of Satellite Images. AI and Blockchain Optimization Techniques in Aerospace Engineering, 33-52.
Wang R. Chen G. Zhang N. Zhang H. (2023). Study on storm evacuation operations in deep-sea mining.Ocean Engineering, 281, 114690. 10.1016/j.oceaneng.2023.114690
Wang Z. Zou L. (2022). Natural frequency analysis of deep-sea mining riser considering varying tension and buffer station.Ocean Engineering, 264, 112372. 10.1016/j.oceaneng.2022.112372
World Resources Institute. (n.d.). World Resources Institute. Retrieved from https://www.wri.org
Wu Q. Yang J. Guo X. Liu L. Lu W. Lu H. (2022). Experimental study on dynamic responses of a deep-sea mining system.Ocean Engineering, 248, 110675. 10.1016/j.oceaneng.2022.110675
Yang P. Wu H. He C. Luo S. (2023). Underwater image restoration for seafloor targets with hybrid attention mechanisms and conditional generative adversarial network.Digital Signal Processing, 134, 103900. 10.1016/j.dsp.2022.103900
Zahid, S. M., Najesh, T. N., Ameen, S. R., & Ali, A. (2023). A Multi Stage Approach for Object and Face Detection using CNN. In 2023 8th International Conference on Communication and Electronics Systems (ICCES) (pp. 798-803). IEEE. 10.1109/ICCES57224.2023.10192823
Zhang, C., Lin, Y., & Pan, W. (2018, July). Research on real-time processing system of deep sea biological image for manned submersible vehicle. In 2018 37th Chinese Control Conference (CCC) (pp. 4006-4010). IEEE. 10.23919/ChiCC.2018.8483593
Zhou G. Li C. Zhang D. Liu D. Zhou X. Zhan J. (2021). Overview of underwater transmission characteristics of oceanic LiDAR.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8144–8159. 10.1109/JSTARS.2021.3100395