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Glas., vol. 15, no. 1, pp. 11-17, Mar. 2021, doi: 10.31803/tg20210204161210.[CrossRef]</unstructured_citation></citation><citation key="ref3"><doi>10.1007/s40295-020-00239-8</doi><unstructured_citation>Moghe, Rahul and Renato Zanetti. &quot;A Deep Learning Approach to Hazard Detection for Autonomous Lunar Landing.&quot; The Journal of the Astronautical Sciences 67 (2020): 1811-1830.[CrossRef]</unstructured_citation></citation><citation key="ref4"><unstructured_citation>JanhaviBorse, Dipti Patil, V. K. &quot;Deep Semantic Classification Of Visual Inputs For Hazard-Free Lunar Landing,&quot; vol. 3, no. June, pp. 14-18, 2021.</unstructured_citation></citation><citation key="ref5"><doi>10.1109/CVPRW53098.2021.00231</doi><unstructured_citation>Ciabatti, Giulia, ShreyanshDaftry and Roberto Capobianco. &quot;Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning.&quot; 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021): 2031-2038.[CrossRef]</unstructured_citation></citation><citation key="ref6"><doi>10.1088/1757-899X/608/1/012045</doi><unstructured_citation>Zhu, Lingchao, Jianbo Ma and Shuquan Wang. &quot;Deep Neural Networks Based Real-time Optimal Control for Lunar Landing.&quot; IOP Conference Series: Materials Science and Engineering (2019): n. pag.[CrossRef]</unstructured_citation></citation><citation key="ref7"><doi>10.3390/aerospace8070195</doi><unstructured_citation>D'Ambrosio, Andrea, Andrea Carbone, Dario Spiller and Fabio Curti. &quot;PSO-Based Soft Lunar Landing with Hazard Avoidance: Analysis and Experimentation.&quot; Aerospace (2021): n. pag.[CrossRef]</unstructured_citation></citation><citation key="ref8"><unstructured_citation>Furfaro, Roberto, Ilaria Bloise, Marcello Orlandelli, Pierluigi Di, Lizia, Francesco Topputo and Richard Linares. &quot;AAS 18-363 DEEP LEARNING FOR AUTONOMOUS LUNAR LANDING.&quot; (2018).</unstructured_citation></citation><citation key="ref9"><unstructured_citation>Epic Games, 2019. Unreal Engine, Available at: https://www.unrealengine.com.</unstructured_citation></citation><citation key="ref10"><doi>10.1016/j.measurement.2021.109330</doi><unstructured_citation>Belagoune, Soufiane, et al. &quot;Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems.&quot; Measurement 177 (2021): 109330.[CrossRef]</unstructured_citation></citation><citation key="ref11"><doi>10.2215/CJN.09280620</doi><unstructured_citation>Lee, Hojun, et al. &quot;Deep learning model for real-time prediction of intradialytic hypotension.&quot; Clinical Journal of the American Society of Nephrology 16.3 (2021): 396-406.[CrossRef], [PMid], [PMCid]</unstructured_citation></citation><citation key="ref12"><doi>10.1016/j.eswa.2020.114444</doi><unstructured_citation>Haq, Anwar Ul, et al. &quot;Forecasting daily stock trend using multi-filter feature selection and deep learning.&quot; Expert Systems with Applications 168 (2021): 114444.[CrossRef]</unstructured_citation></citation><citation key="ref13"><doi>10.1007/s41403-021-00207-0</doi><unstructured_citation>Ravani, Khilan, S. Mathavaraj, and RadhakantPadhi. &quot;Site detection for autonomous soft-landing on asteroids using deep learning.&quot; Transactions of the Indian National Academy of Engineering 6.2 (2021): 365-375.[CrossRef]</unstructured_citation></citation><citation key="ref14"><doi>10.1016/j.jag.2021.102456</doi><unstructured_citation>Osco, Lucas Prado, et al. &quot;A review on deep learning in UAV remote sensing.&quot; International Journal of Applied Earth Observation and Geoinformation 102 (2021): 102456.[CrossRef]</unstructured_citation></citation><citation key="ref15"><doi>10.1109/WCNC51071.2022.9771558</doi><unstructured_citation>Afifi, Ghada, and Yasser Gadallah. &quot;Unmanned Aerial Vehicles 3-D Autonomous Outdoor Localization: A Deep Learning Approach.&quot; 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022.[CrossRef]</unstructured_citation></citation><citation key="ref16"><doi>10.14569/IJACSA.2021.0120910</doi><unstructured_citation>J. H. Borse and D. D. Patil, &quot;Empirical Analysis of Feature Points Extraction Techniques for Space Applications,&quot; Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 9, pp. 81-87, 2021, doi: 10.14569/ijacsa.2021.0120910.[CrossRef]</unstructured_citation></citation><citation key="ref17"><unstructured_citation>Bojarski, Mariusz &amp; Testa, Davide &amp;Dworakowski, Daniel &amp;Firner, Bernhard &amp;Flepp, Beat &amp; Goyal, Prasoon&amp;Jackel, Larry &amp;Monfort, Mathew &amp; Muller, Urs&amp; Zhang, Jiakai&amp; Zhang, Xin &amp; Zhao, Jake &amp;Zieba, Karol. (2016). End to End Learning for Self-Driving Cars.</unstructured_citation></citation></citation_list>
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