Littérature scientifique sur le sujet « Intelligenza urbana »
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Articles de revues sur le sujet "Intelligenza urbana"
Tricarico, Luca, Rosamaria Bitetti et Maria Isabella Leone. « L'innovazione sociale nelle politiche urbane. Un caso studio nel contesto italiano ». TERRITORIO, no 96 (septembre 2021) : 108–15. http://dx.doi.org/10.3280/tr2021-096010.
Texte intégralTricarico, Luca, Rosamaria Bitetti et Maria Isabella Leone. « L'innovazione sociale nelle politiche urbane. Un caso studio nel contesto italiano ». TERRITORIO, no 96 (septembre 2021) : 108–15. http://dx.doi.org/10.3280/tr2021-096010.
Texte intégralZhou, Xi, Mengnan Wang, Dexiang Deng et Xi Li. « Design and Construction of Urban Waste Intelligent Treatment System ». E3S Web of Conferences 199 (2020) : 00011. http://dx.doi.org/10.1051/e3sconf/202019900011.
Texte intégralWang, Ji Zhe, et Zhan Jie Wang. « Architecture Design of Urban Intelligent Transportation Using Cloud Computing ». Advanced Materials Research 605-607 (décembre 2012) : 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2549.
Texte intégralGong, Fanghai. « Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm ». Advances in Multimedia 2022 (24 septembre 2022) : 1–12. http://dx.doi.org/10.1155/2022/5178515.
Texte intégralXu, Binjie. « Risk Assessment of Green Intelligent Building Based on Artificial Intelligence ». Computational Intelligence and Neuroscience 2022 (15 septembre 2022) : 1–8. http://dx.doi.org/10.1155/2022/7584853.
Texte intégralYang, Xuan, Zhiyan Pu et Lei Zhang. « Designing Data Visualization Using Artificial Intelligence for Urban Intelligent Transportation Scenarios ». Mobile Information Systems 2022 (27 août 2022) : 1–11. http://dx.doi.org/10.1155/2022/3967267.
Texte intégralCao, Min. « Architecture and application of intelligent heating network system based on cloud computing platform ». Thermal Science 25, no 4 Part B (2021) : 2889–96. http://dx.doi.org/10.2298/tsci2104889c.
Texte intégralPal, Santosh. « STUDY OF SPIRITUAL INTELLIGENCEAMONG D.EL.ED. STUDENTS ». International Journal of Research -GRANTHAALAYAH 7, no 7 (31 juillet 2019) : 143–47. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.740.
Texte intégralMaldonado Silveira Alonso Munhoz, Paulo Antonio, Fabricio da Costa Dias, Christine Kowal Chinelli, André Luis Azevedo Guedes, João Alberto Neves dos Santos, Wainer da Silveira e Silva et Carlos Alberto Pereira Soares. « Smart Mobility : The Main Drivers for Increasing the Intelligence of Urban Mobility ». Sustainability 12, no 24 (21 décembre 2020) : 10675. http://dx.doi.org/10.3390/su122410675.
Texte intégralThèses sur le sujet "Intelligenza urbana"
CONDOTTA, MASSIMILIANO. « Energy web : conoscenza condivisa, intelligenza collettiva e nuove tecnologie per il contenimento dei consumi energetici a scala urbana ». Doctoral thesis, Università IUAV di Venezia, 2014. http://hdl.handle.net/11578/278355.
Texte intégralSINI, STEFANIA. « Centri della conoscenza : dispositivi urbani per la creazione di Smart Cities ». Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266388.
Texte intégralFratti, Daniele. « Intelligent transportation systems : modellazione dinamica delle reti ed implementazione di un sistema urbano dei trasporti intelligente ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3025/.
Texte intégralBernardes, Vitor Giovani. « Urban environment perception and navigation using robotic vision : conception and implementation applied to automous vehicle ». Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2155/document.
Texte intégralThe development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context,where the road layout may be very complex, the presence of objects such as trees, bicycles,cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to dea lwith uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully,understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement basedon decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, with out the need to adapt the infrastructure,without requiring previous knowledge of the environment and considering the presenceof dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and tofollow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
An, Yinan. « Building Smart Cities and Intelligent Societies in Australia with the Aid of Internet of Things, Big Data and Artificial Intelligence ». Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23029.
Texte intégralRong, Helena Hang. « Designing with data : collective intelligence in urban design ». Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123601.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (pages 138-141).
Over the last decade, advancements in data collection, computing and visualization methods have given rise to a new form of urbanism: networked urbanism. Our current output of data is roughly 2.5 quintillion bytes a day. Ninety percent of the world's data has been created in the last two years alone. As cities compete for "smart city" status, myriad sensors are installed in the built environment, capturing a "real-time" city supposedly responsive to both infrastructural and citizen needs, thereby creating a more desirable environment for people to live. If this is the case, why has Songdo International Business District become a "ghost-town" as some reports claim, attracting only less than a quarter of its anticipated population? Although the smart city model has been hailed by technocratic enthusiasts as a solution to the sustainable city challenge for almost two decades, it has increasingly been critiqued for being overly technocratic and top-down in orientation, decreeing forms of algorithmic governance which control and discipline citizens, and omitting qualitative factors such as cultural vibrancy and community bonding. And in the process, both designers and citizens become increasingly marginalized from the discussion. I intend to address the shortcomings of current approaches to Smart Cities in the context of human -centric urban design and develop a new design methodology which emphasizes on the "smart citizen" to effectively engage the collective throughout a collaborative urban design process. This thesis surveys a number of significant recent projects and studies their goals, proposed frameworks and interventions, ingredients used in their loT solutions as well as potential concerns, and uses the findings to create a citizen engagement tool and design framework to be tested on a site in Ang Sila, Thailand.
by Helena Hang Rong.
S.M.
S.M. Massachusetts Institute of Technology, Department of Architecture
Lee, Benjamin. « Intelligent computer tools for urban design and planning ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0014/MQ27569.pdf.
Texte intégralChoudhry, Omar Hussain Carleton University Dissertation Engineering Civil and Environmental. « Intelligent transportation system applications for urban courier movements ». Ottawa, 1996.
Trouver le texte intégralVitor, Giovani Bernardes 1985. « Urban environment and navigation using robotic vision = conception and implementation applied to autonomous vehicle = Percepção do ambiente urbano e navegação usando visão robótica : concepção e implementação aplicado à veículo autônomo ». [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265843.
Texte intégralTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica
Made available in DSpace on 2018-08-26T17:57:25Z (GMT). No. of bitstreams: 1 Vitor_GiovaniBernardes_D.pdf: 28262004 bytes, checksum: eeccacc4c01faa822412782af2e96121 (MD5) Previous issue date: 2014
Resumo: O desenvolvimento de veículos autônomos capazes de se locomover em ruas urbanas pode proporcionar importantes benefícios na redução de acidentes, no aumentando da qualidade de vida e também na redução de custos. Veículos inteligentes, por exemplo, frequentemente baseiam suas decisões em observações obtidas a partir de vários sensores tais como LIDAR, GPS e câmeras. Atualmente, sensores de câmera têm recebido grande atenção pelo motivo de que eles são de baixo custo, fáceis de utilizar e fornecem dados com rica informação. Ambientes urbanos representam um interessante mas também desafiador cenário neste contexto, onde o traçado das ruas podem ser muito complexos, a presença de objetos tais como árvores, bicicletas, veículos podem gerar observações parciais e também estas observações são muitas vezes ruidosas ou ainda perdidas devido a completas oclusões. Portanto, o processo de percepção por natureza precisa ser capaz de lidar com a incerteza no conhecimento do mundo em torno do veículo. Nesta tese, este problema de percepção é analisado para a condução nos ambientes urbanos associado com a capacidade de realizar um deslocamento seguro baseado no processo de tomada de decisão em navegação autônoma. Projeta-se um sistema de percepção que permita veículos robóticos a trafegar autonomamente nas ruas, sem a necessidade de adaptar a infraestrutura, sem o conhecimento prévio do ambiente e considerando a presença de objetos dinâmicos tais como veículos. Propõe-se um novo método baseado em aprendizado de máquina para extrair o contexto semântico usando um par de imagens estéreo, a qual é vinculada a uma grade de ocupação evidencial que modela as incertezas de um ambiente urbano desconhecido, aplicando a teoria de Dempster-Shafer. Para a tomada de decisão no planejamento do caminho, aplica-se a abordagem dos tentáculos virtuais para gerar possíveis caminhos a partir do centro de referencia do veículo e com base nisto, duas novas estratégias são propostas. Em primeiro, uma nova estratégia para escolher o caminho correto para melhor evitar obstáculos e seguir a tarefa local no contexto da navegação hibrida e, em segundo, um novo controle de malha fechada baseado na odometria visual e o tentáculo virtual é modelado para execução do seguimento de caminho. Finalmente, um completo sistema automotivo integrando os modelos de percepção, planejamento e controle são implementados e validados experimentalmente em condições reais usando um veículo autônomo experimental, onde os resultados mostram que a abordagem desenvolvida realiza com sucesso uma segura navegação local com base em sensores de câmera
Abstract: The development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context, where the road layout may be very complex, the presence of objects such as trees, bicycles, cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to deal with uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully, understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement based on decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, without the need to adapt the infrastructure, without requiring previous knowledge of the environment and considering the presence of dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and to follow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
Doutorado
Mecanica dos Sólidos e Projeto Mecanico
Doutor em Engenharia Mecânica
Kolosz, Ben William. « Assessing the sustainability performance of inter-urban intelligent transport ». Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/5502/.
Texte intégralLivres sur le sujet "Intelligenza urbana"
Stormwater and Urban Water Systems Modeling Conference (2005 Toronto, Ont.). Intelligent modeling of urban water systems. Guelph, Ont : CHI, 2006.
Trouver le texte intégralYuan, Xiaohui, et Mohamed Elhoseny, dir. Urban Intelligence and Applications. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45099-1.
Texte intégralYuan, Xiaohui, Mohamed Elhoseny et Jianfang Shi, dir. Urban Intelligence and Applications. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4601-7.
Texte intégralMozère, Liane. Intelligence des banlieues. La Tour d'Aigues : Editions de l'Aube, 1999.
Trouver le texte intégralStormwater and Urban Water Systems Modeling Conference. Intelligent modeling of urban water systems. Guelph, ON : CHI, 2005.
Trouver le texte intégralMohan, Dinesh. Intelligent transportation systems (ITS) and urban transport. New Delhi : Transportation Research and Injury Prevention Programme, Indian Institute of Technology, Delhi, 2011.
Trouver le texte intégralWhite, Roger. The artificial intelligence of urban dynamics : Neural network modelling of urban structure. [Toronto] : Centre for Urban and Community Studies, University of Toronto, 1989.
Trouver le texte intégral1946-, Maciocco Giovanni, et Seminario Sistemi intelligenti e pianificazione urbana., dir. La città, la mente, il piano : Sistemi intelligenti e pianificazione urbana. Milano, Italy : FrancoAngeli, 1994.
Trouver le texte intégralTowards resili(g)ence : Città intelligenti, paesaggi resilienti. Genova : Genova University Press, 2020.
Trouver le texte intégralTaylor, Richard V. Planning for intelligent transportation systems in small urban areas. Charlottesville, Va : Virginia Transportation Research Council, 1997.
Trouver le texte intégralChapitres de livres sur le sujet "Intelligenza urbana"
Pincay Nieves, Jhonny. « Computational Intelligence ». Dans Smart Urban Logistics, 33–56. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16704-1_3.
Texte intégralI. Meneguette, Rodolfo, Robson E. De Grande et Antonio A. F. Loureiro. « Intelligent Transportation Systems ». Dans Urban Computing, 1–21. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93332-0_1.
Texte intégralde Castro Neto, Miguel, et João Sousa Rego. « Urban Intelligence for Sustainability ». Dans Lecture Notes in Information Systems and Organisation, 139–59. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14850-8_10.
Texte intégralLei, Jianjun, et Jiapeng Li. « Urban Monthly Water Consumption Forecasting Based on Signal Decomposition and Optimized Extreme Learning Machine ». Dans Artificial Intelligence in Intelligent Systems, 212–23. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77445-5_19.
Texte intégralWu, Mingxi. « Future Urban Operations ». Dans Intelligent Warfare, 358–87. London : Routledge, 2022. http://dx.doi.org/10.4324/b22974-16.
Texte intégralTang, Nam, Cuong Do, Tien Ba Dinh et Thang Ba Dinh. « Urban Traffic Monitoring System ». Dans Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 573–80. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25944-9_74.
Texte intégralWang, Tingyong, Yuweng Zhu, Fengjuan Zhang et Wei Zhao. « Intelligent Development of Urban Housing ». Dans Advances in Intelligent Systems and Computing, 536–43. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62746-1_79.
Texte intégralShlyakhetko, Olena, Michał Kabat, Tomasz Majchrzak, Damian Olczyk et Wojciech Nowakowski. « Intelligent Urban Investment Management System ». Dans Studies in Systems, Decision and Control, 139–79. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97008-6_7.
Texte intégralHaldorai, Anandakumar, Arulmurugan Ramu et Suriya Murugan. « Web Intelligence and Data Mining in Urban Areas ». Dans Urban Computing, 27–47. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26013-2_2.
Texte intégralZhao, Jianyu, Diankui Tang, Xin Geng et Lei Jia. « Urban Arterial Traffic Coordination Control System ». Dans Artificial Intelligence and Computational Intelligence, 275–83. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16527-6_35.
Texte intégralActes de conférences sur le sujet "Intelligenza urbana"
Barberis, Walter. « Ciudad urbótica contemporánea : urbanística y nuevas tecnologías al servicio de la calidad del espacio y los servicios urbanos ». Dans International Conference Virtual City and Territory. Mexicali : Universidad Autónoma de Baja California, 2010. http://dx.doi.org/10.5821/ctv.7638.
Texte intégralZheng, Yongqing, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung et Chunyan Miao. « Intelligent Decision Support for Improving Power Management ». Dans Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California : International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/965.
Texte intégralSilva, Matteus Vargas Simão da, Luiz Fernando Bittencourt et Adín Ramirez Rivera. « Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities ». Dans Workshop de Computação Urbana. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/courb.2020.12361.
Texte intégralJoubert, J. W. « Vehicle routing : less “artificial”, more “intelligence” ». Dans URBAN TRANSPORT 2006. Southampton, UK : WIT Press, 2006. http://dx.doi.org/10.2495/ut060251.
Texte intégralZhang, Tao. « Intelligent classroom perception system based on Artificial Intelligence ». Dans Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China. EAI, 2022. http://dx.doi.org/10.4108/eai.20-12-2021.2315037.
Texte intégralShah, A. A., N. P. Mahalik, J. Namkoong et J. D. Lee. « Intelligent transportation-deployment and development process in Korea ». Dans URBAN TRANSPORT 2006. Southampton, UK : WIT Press, 2006. http://dx.doi.org/10.2495/ut060741.
Texte intégralZhu, Bing. « Intelligent teaching integrated service platform based on Artificial Intelligence ». Dans Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China. EAI, 2022. http://dx.doi.org/10.4108/eai.20-12-2021.2315035.
Texte intégralMontalvo, I., J. Izquierdo, S. Schwarze et R. Pérez-García. « Agent swarm optimisation, a novel approach in swarm intelligence ». Dans Urban Water 2012. Southampton, UK : WIT Press, 2012. http://dx.doi.org/10.2495/uw120041.
Texte intégralRichter, T., et S. Ruhl. « The integration of intelligent transport systems in urban transport ». Dans URBAN TRANSPORT 2013. Southampton, UK : WIT Press, 2013. http://dx.doi.org/10.2495/ut130181.
Texte intégralDANCHUK, Viktor, Christian WEIß et Vitaliy SVATKO. « SMART LOGISTICS WITHIN THE FRAMEWORK OF THE CONCEPT OF CYBER-PHYSICAL SYSTEMS ». Dans Міжнародна наукова конференція «ІНТЕЛЕКТУАЛЬНІ ТРАНСПОРТНІ СИСТЕМИ : ЕКОЛОГІЯ, БЕЗПЕКА, ЯКІСТЬ, КОМФОРТ». National Transport University, 2022. http://dx.doi.org/10.33744/978-966-632-318-0-2022-3-14-19.
Texte intégralRapports d'organisations sur le sujet "Intelligenza urbana"
Innocenti, Charles W. Intelligence Analysis for Urban Combat. Fort Belvoir, VA : Defense Technical Information Center, mai 2002. http://dx.doi.org/10.21236/ada403530.
Texte intégralSteadman, James. Understanding the Urban Battlespace : An Intelligence Challenge. Fort Belvoir, VA : Defense Technical Information Center, février 2001. http://dx.doi.org/10.21236/ada389843.
Texte intégralBush, Bichson. Intelligence, Surveillance, and Reconnaissance (ISR) Support to Urban Operations. Fort Belvoir, VA : Defense Technical Information Center, février 2001. http://dx.doi.org/10.21236/ada395609.
Texte intégralZhang, Yangjun. Unsettled Topics Concerning Flying Cars for Urban Air Mobility. SAE International, mai 2021. http://dx.doi.org/10.4271/epr2021011.
Texte intégralNguyen, Cam. Advanced Concurrent-Multiband, Multibeam, Aperture-Synthesis with Intelligent Processing for Urban Operation Sensing. Fort Belvoir, VA : Defense Technical Information Center, avril 2012. http://dx.doi.org/10.21236/ada582347.
Texte intégralKeller, Brian A. Intelligence Support to Military Operations on Urban Terrain : Lessons Learned from the Battle of Grozny. Fort Belvoir, VA : Defense Technical Information Center, avril 2000. http://dx.doi.org/10.21236/ada374901.
Texte intégralScribner, David R., et Patrick H. Wiley. The Development of a Virtual McKenna Military Operations in Urban Terrain (MOUT) Site for Command, Control, Communication, Computing, Intelligence, Surveillance, and Reconnaissance (C4ISR) Studies. Fort Belvoir, VA : Defense Technical Information Center, juin 2007. http://dx.doi.org/10.21236/ada468507.
Texte intégralWilson, D., Daniel Breton, Lauren Waldrop, Danney Glaser, Ross Alter, Carl Hart, Wesley Barnes et al. Signal propagation modeling in complex, three-dimensional environments. Engineer Research and Development Center (U.S.), avril 2021. http://dx.doi.org/10.21079/11681/40321.
Texte intégralWill, Fabian. Individuell mobil, gemeinsam befördert. Goethe-Universität, Institut für Humangeographie, janvier 2022. http://dx.doi.org/10.21248/gups.58867.
Texte intégral