المؤلفون: Grosfils, Patrick

المصدر: Drones, 8 (1

مصطلحات موضوعية: Généralités, communication network, drone deployment, drone swarm, information transmission, order statistics, temporal network

وصف الملف: 1 full-text file(s): application/pdf

Relation: uri/info:doi/10.3390/drones8010028; uri/info:scp/85183097621; https://dipot.ulb.ac.be/dspace/bitstream/2013/371451/1/doi_355095.pdf; http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/371451

الاتاحة: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/371451
https://dipot.ulb.ac.be/dspace/bitstream/2013/371451/1/doi_355095.pdf

المؤلفون: Patrick Grosfils

المصدر: Drones, Vol 8, Iss 1, p 28 (2024)

مصطلحات موضوعية: drone swarm, information transmission, communication network, temporal network, order statistics, drone deployment, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Relation: https://www.mdpi.com/2504-446X/8/1/28; https://doaj.org/toc/2504-446X; https://doaj.org/article/5350a7da4d654ff59500b5a4c4b9c615

الاتاحة: https://doi.org/10.3390/drones8010028
https://doaj.org/article/5350a7da4d654ff59500b5a4c4b9c615

المؤلفون: Hirofumi Osumi, Tomotaka Kimura, Kouji Hirata, Chinthaka Premachandra, Jun Cheng

المصدر: Drones; Volume 7; Issue 6; Pages: 384

مصطلحات موضوعية: drone communication networks, drone deployment problem, Integer Linear Programming

وصف الملف: application/pdf

Relation: Drone Communications; https://dx.doi.org/10.3390/drones7060384

الاتاحة: https://doi.org/10.3390/drones7060384

المؤلفون: Ebbe Poulsen, Mathias Eggertsen, Erik H. Jepsen, Claus Melvad, Søren Rysgaard

المصدر: HardwareX, Vol 11, Iss , Pp e00313- (2022)

مصطلحات موضوعية: Autonomous profiler, Drone-deployment, Hazardous areas, Reusable CTD, Marine terminating glaciers, Arctic research, Science (General), Q1-390

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S246806722200058X; https://doaj.org/toc/2468-0672

URL الوصول: https://doaj.org/article/55ca2cf358074263b14acea94f558365

المؤلفون: Jared Lynskey, Kyi Thar, Thant Zin Oo, Choong Seon Hong

المصدر: Symmetry, Vol 11, Iss 1, p 118 (2019)

مصطلحات موضوعية: drone deployment, drone port, traveling salesman, facility location problem, Mathematics, QA1-939

Relation: https://www.mdpi.com/2073-8994/11/1/118; https://doaj.org/toc/2073-8994; https://doaj.org/article/f4bfe3530bb34b4d8b015990e85a95f6

الاتاحة: https://doi.org/10.3390/sym11010118
https://doaj.org/article/f4bfe3530bb34b4d8b015990e85a95f6

المؤلفون: Pardo González, Germán Roberto

المساهمون: Gómez Castro, Camilo Hernando, Rodríguez Herrera, Carlos Francisco, Alvarez Martínez, David, Lozano, Carlos

مصطلحات موضوعية: Column Generation, Q-Learning, Reinforcement Learning, OR in emergency response, Drone Deployment, Multi-objective optimisation, Ingeniería

وصف الملف: application/pdf; image/jpeg

Relation: Aggarwal, S., & Kumar, N. (2020). Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges. Computer Communications, 270-299. doi:https://doi.org/10.1016/j.comcom.2019.10.014; Anastasiou, A., Kolios, P., Panayiotou, C., & Papadaki, K. (2020). Swarm Path Planning for the Deployment of Drones in Emergency Response Missions. 2020 International Conference on Unmanned Aircraft Systems (ICUAS), (pp. 456-465). Athens. doi:10.1109/ICUAS48674.2020.9213876; Arnold, R. D., Yamaguchi, H., & Tanaka, T. (2018). Search and rescue with autonomous flying robots through behavior-based cooperative intelligence. Journal of International Humanitarian Action, 3-18. doi:https://doi.org/10.1186/s41018-018-0045-4; Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., . . . Rahwan, I. (2018). The Moral Machine experiment. Nature, 59-64. doi:https://doi.org/10.1038/s41586-018-0637-6; Battistuzzi, L., Recchiuto, C. T., & Sgorbissa, A. (2021). Ethical concerns in rescue robotics: a scoping review. Ethics and Information Technology, 863-875. doi:https://doi.org/10.1007/s10676-021-09603-0; Brandao, M., Jirotka, M., Webb, H., & Luff, P. (2020). Fair navigation planning: A resource for characterizing and designing fairness in mobile robots. Artificial Intelligence. doi:https://doi.org/10.1016/j.artint.2020.103259; Ebina, T., & Kinjo, K. (2021). Approaching the social dilemma of autonomous vehicles with a general social welfare function. Engineering Applications of Artificial Intelligence. doi:https://doi.org/10.1016/j.engappai.2021.104390; Etzioni, A., & Etzioni, O. (2017). Incorporating Ethics into Artificial Intelligence. The Journal of Ethics, 403-418. doi:DOI 10.1007/s10892-017-9252-2; Evans, K., de Moura, N., Chauvier, S., Chatila, R., & Dogan, E. (2020). Ethical Decision Making in Autonomous Vehicles: The AV Ethics project. Science and Engineering Ethics, 3285-3312. doi:https://doi.org/10.1007/s11948-020-00272-8; Feillet, D. (2010). A tutorial on column generation and branch-and-price for vehicle routing problems. A Quarterly Journal of Operations Research, 407-424. doi:https://doi.org/10.1007/s10288-010-0130-z; Geisslinger, M., Poszler, F., & Lienkamp, M. (2023). An Ethical Trajectory Planning Algorithm for Autonomous Vehicles. Nature Machie Intelligence, 137-144. doi:https://doi.org/10.1038/s42256-022-00607-z; Hussain, Q., Feng, H., Grzebieta, R., Brijs, T., & Olivier, J. (2019). The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis. Accident Analysis and Prevention, 241-249. doi:https://doi.org/10.1016/j.aap.2019.05.033; Lozano, L., Duque, D., & Medaglia, A. L. (2016). An Exact Algorithm for the Elementary Shortest Path Problem with Resource Constraints. Transportation Science, 348-357. doi:http://dx.doi.org/10.1287/trsc.2014.0582; Mavrotas, G. (2009). Effective implementation of the e-constraint method in Multi-Objective Mathematical Programming problems. Applied Mathematics and Computation, 455-465.; Nie, J., Li, G., & Yang, J. (2015). A Study of Fatality Risk and Head Dynamic Response of Cyclist and Pedestrian Based on Passenger Car Accident Data Analysis and Simulations. Traffic Injury Prevention, 76-83. doi:10.1080/15389588.2014.881477; Powell, W. B. (2019). A unified framework for stochastic optimization. European Journal of Operational Research, 795-821. doi:https://doi.org/10.1016/j.ejor.2018.07.014; Powell, W. B. (2022). Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions. John Wiley & Sons.; Saha, S., Vasegaard Elkjaer, A., Nielsen, I., Hapka, A., & Budzisz, H. (2021). UAVs Path Planning under a Bi-Objective Optimization Framework for Smart Cities. Electronics. doi:https://doi.org/10.3390/electronics10101193; Sutton, R., & Barto, A. (2015). Reinforcement Learning: An Introduction. The MIT Press.; Weidinger, L., Mckee, K. R., Everett, R., Huang, S., Zhu, T. O., Chadwick, M. J., . . . Gabriel, I. (2023). Using the Veil of Ignorance to align AI systems with principles of justice. doi:https://doi.org/10.1073/pnas.2213709120; http://hdl.handle.net/1992/67649; instname:Universidad de los Andes; reponame:Repositorio Institucional Séneca; repourl:https://repositorio.uniandes.edu.co/

الاتاحة: http://hdl.handle.net/1992/67649