Academic literature on the topic 'MADDPG'
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Journal articles on the topic "MADDPG"
Yang, Jianfeng, Xinwei Yang, and Tianqi Yu. "Multi-Unmanned Aerial Vehicle Confrontation in Intelligent Air Combat: A Multi-Agent Deep Reinforcement Learning Approach." Drones 8, no. 8 (August 7, 2024): 382. http://dx.doi.org/10.3390/drones8080382.
Full textZhang, Xiaoping, Yuanpeng Zheng, Li Wang, Arsen Abdulali, and Fumiya Iida. "Multi-Agent Collaborative Target Search Based on the Multi-Agent Deep Deterministic Policy Gradient with Emotional Intrinsic Motivation." Applied Sciences 13, no. 21 (November 1, 2023): 11951. http://dx.doi.org/10.3390/app132111951.
Full textWilk, Patrick, Ning Wang, and Jie Li. "Multi-Agent Reinforcement Learning for Smart Community Energy Management." Energies 17, no. 20 (October 20, 2024): 5211. http://dx.doi.org/10.3390/en17205211.
Full textWang, Lixing, and Huirong Jiao. "Multi-Agent Reinforcement Learning-Based Computation Offloading for Unmanned Aerial Vehicle Post-Disaster Rescue." Sensors 24, no. 24 (December 15, 2024): 8014. https://doi.org/10.3390/s24248014.
Full textPetrenko, V. I., F. B. Tebueva, M. M. Gurchinsky, and A. S. Pavlov. "Method of Multi-Agent Reinforcement Learning in Systems with a Variable Number of Agents." Mekhatronika, Avtomatizatsiya, Upravlenie 23, no. 10 (October 9, 2022): 507–14. http://dx.doi.org/10.17587/mau.23.507-514.
Full textChen, Zhisheng. "DQN–MADDPG Coordinating the Multi-agent Cooperation." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1141–45. http://dx.doi.org/10.54097/hset.v39i.6720.
Full textLiu, Bo, Shulei Wang, Qinghua Li, Xinyang Zhao, Yunqing Pan, and Changhong Wang. "Task Assignment of UAV Swarms Based on Deep Reinforcement Learning." Drones 7, no. 5 (April 29, 2023): 297. http://dx.doi.org/10.3390/drones7050297.
Full textWei, Juyao, Zhenggang Lu, Zheng Yin, and Zhipeng Jing. "Multiagent Reinforcement Learning for Active Guidance Control of Railway Vehicles with Independently Rotating Wheels." Applied Sciences 14, no. 4 (February 19, 2024): 1677. http://dx.doi.org/10.3390/app14041677.
Full textLi, Xilun, Zhan Li, Xiaolong Zheng , Xuebo Yang , and Xinghu Yu . "The Study of Crash-Tolerant, Multi-Agent Offensive and Defensive Games Using Deep Reinforcement Learning." Electronics 12, no. 2 (January 8, 2023): 327. http://dx.doi.org/10.3390/electronics12020327.
Full textHu, Weichao, Hongzhang Mu, Yanyan Chen, Yixin Liu, and Xiaosong Li. "Modeling Interactions of Autonomous/Manual Vehicles and Pedestrians with a Multi-Agent Deep Deterministic Policy Gradient." Sustainability 15, no. 7 (April 3, 2023): 6156. http://dx.doi.org/10.3390/su15076156.
Full textDissertations / Theses on the topic "MADDPG"
Abdulazeez, Abdulhakeem. "Development of an autonomous control protocol for a UAV fleet network using machine learning." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG107.
Full textIn the context of wireless networked robotics, complex missions, such as autonomous search and rescue may require the use of multiple Unmanned Aerial Vehicles (UAVs) deployed as a formation to achieve higher efficiency and Quality of Service (QoS) while assuring mission-specific imperatives like the maximization of area covered in a single passage of the fleet over area subsections. Addressing these challenges requires an efficient localization and formation control protocol.Existing solutions proposed for low-cost localization of UAVs using Received Signal Strength Indicator (RSSI) values, were designed for indoor environments in response to the limitation of Global Navigation Satellite System (GNSS) indoors, making them not applicable to outdoor environments.Those developed to work outdoors are either unsuitable for mobile nodes or not applicable for aerial devices deployed in complex environments with varying propagation effects. Also, existing control protocols designed specifically for autonomous control of UAV-fleet do not consider the formation orientation. To cover these areas, this thesis presents an efficient learning-based formation control protocol consisting of three control mechanism to address the issue of outdoor distance estimation, speed adaptation, and formation orientation. The protocol adapts the Multi-Agent Reinforcement Learning (MARL) principle to autopilot the UAV fleet leader-follower structure using only RSSI values the UAVs receive during wireless communication with their neighbors. The followersare expected to follow the leader while maintaining the pre-configured formation leader-follower structure autonomously. First, a DNN RSSI-based distance estimator was developed to provide more accurate estimates of the distance between any pair of UAVs in formation for better localization. The estimator was trained using a dataset collected through simulation for varying formation configurations in terms of speed, altitude, formation sizes, and propagation loss models. The second protocol addresses the issue of speed adaptation using the MARL-based principle, incorporating the RSSI-based distance estimator for ranging. The followers are trained through the collective experience of the environment to autonomously adjust their speed relative to that of the leader during a linear movement.To address the orientation alignment problem, a direction detection and formation alignment protocol was developed using the MARL-based principle. Like the speed adapter, this protocol also incorporates the distance estimator. Follower UAVs are trained to detect the direction of flight of the leader and rotate as rigid body along the yaw-axis to realign themselves with the leader. We implemented the protocol using NS3-3.35 incorporated with mlpack machine learning library, and evaluated its performance using several experimental trials. The results demonstrate that the protocol achieves better, tolerable estimated distance error, formation stability, formation deviation error, and increased response time
Persson, Kristian, and Max Renberg. "Ambulance Safety: MADDE." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42610.
Full textSäkerhet, ett ord som kan kopplas och tolkas på många olika sätt. Personlig säkerhet, att man ska känna sig trygg i sin vardag beroende på omgivning. IT-säkerhet, att skydda en persons eller en organisations värdefulla tillgångar som exempelvis information. Flygsäkerhet, säkerheten vid flygning av dess olika slag. Det finns säkerhetsfrågor inom nästan varje område, men arbetet som du kommer få läsa om i denna rapport handlar om trafiksäkerhet, mer specifikt, säkerheten vid arbete bak i en ambulans. Föreställ dig att du arbetar som ambulanssjukvårdare. Du och din kollega har precis plockat upp en “Prio 1” (mest akuta graden), klassad patient som behöver akut vård. Du sitter bak i ambulansen och ska vårda patienten medan din kollega kör bilen. Läget är så kritiskt att din kollega behöver köra så snabbt som möjligt för att hinna till sjukhuset i tid. Därmed måste du sitta fastspänd med bilbälte för att inte riskera din egen säkerhet under körningen. Runtomkring dig finns det ett antal komponenter du behöver för att vårda patienten. Du når inte dessa produkter på grund av bältet som håller fast dig i sätet. Vad gör du? Knäpper du loss bältet för att kunna nå komponenterna, men riskerar din egen säkerhet under bilfärden? Eller tar du på dig bältet på ett inkorrekt sätt, så du sitter bältad, men bara över höfterna (exempelvis), så att du kan nå verktygen? Båda alternativen är hur majoriteten av ambulanssjukvårdare går till väga idag för att kunna utföra sitt jobb. Antingen knäpper man loss och frigör sig helt från bältet eller så använder man det, fast på ett inkorrekt sätt för att kunna nå allt personen i fråga behöver i ambulansen. Båda handlingarna har lett till flertalet skador på vårdarna och antalet fortsätter öka kontinuerligt. Arbetet handlar just om detta. En lösning på problemet med arbetsmiljön bak i ambulanser. Vidare i denna rapport kommer du få läsa om hur två studenter vid Högskolan i Halmstad kom i kontakt med problemet, men framförallt hur de fann en lösning till det.
Santos, Joana Isabel Fontes. "O efeito Maddie: análise da relação entre jornalistas e sistema judicial no desaparecimento de Maddie McCann." Master's thesis, [s.n.], 2009. http://hdl.handle.net/10284/1465.
Full textA notícia considerada como uma construção social da realidade, resulta da permanente troca e negociação de significado dos acontecimentos. As fontes de informação constituem uma dimensão indispensável para a compreensão e exercício do jornalismo. Todos os dias, os jornalistas vêem-se obrigados a ultrapassar inúmeras barreiras no exercício da sua profissão. Nem a liberdade de informar e ser informado podem ser concebidas em termos absolutos, nem as normas ético-legais podem ser ignoradas. O relacionamento existente entre os jornalistas e o sistema judicial é um dos grandes obstáculos que o jornalista tenta ultrapassar quando o seu objectivo é informar a opinião pública sobre algum caso judicial. A partir do Caso Maddie McCann, um dos acontecimentos mais mediáticos de 2007, analisei a influência inglesa nos media portugueses, assim como a relação que os jornalistas têm com conceitos judiciais e o relacionamento que têm com a Polícia Judiciária. The news are considered as a social construction of reality in permanent change and negotiation with public events. The sources of information are an essential dimension to the understanding and the exercise of journalism. Every day, journalists are obliged to overcome many obstacles in the exercise of their profession. Not the freedom to inform and be informed can be conceived in absolute terms, nor the ethical and legal standards can be ignored. The relationship between journalists and the judiciary is one of the major obstacles that the journalist tries to overcome when your aim is to inform the audiences about a court case. From the Maddie McCann case, one of the most mediatic in 2007, is examined the english influence on the portuguese media and the relationship between journalists, legal concepts and the portuguese police. L’article consideré comme une construction sociale de la réalité résulte de la permanente échange et négociation du sens des événements. Les sources d'informations constituent une dimension indispensable pour comprendre et faire du journalisme. Chaque jour, les journalistes se voient obligés de surmonter de nombreux obstacles dans l'exercice de leur profession. Ni la liberté d'informer et d'être informé peuvent être conçues en termes absolus, ni les normes éthiques et juridiques peuvent être ignorés. La relation entre les journalistes et le pouvoir judiciaire est l'un des principaux obstacles que le journaliste tente de surmonter lorsque son objectif est d'informer l’opinion publique sur une affaire judiciaire. De l'affaire Maddie McCann, l'une des plus médiatiques de 2007, j’ai analisée l'influence anglaise sur les médias portugais, ainsi comme la relation que les journalistes ont avec les concepts juridiques et le relationement qu'ils ont avec la police portugaise.
Maloney, Eric Daniel. "Frictional convergence and the Madden-Julian oscillation /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/10049.
Full textRay, Pallav Kumar. "The Initiation of the Madden-Julian Oscillation (MJO)." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/77.
Full textSaunders, M. W. M. "Ford Maddox Ford and the reading of prose." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373696.
Full textSinghruck, Patama. "Oceanic variability associated with the Madden-Julian oscillation." Thesis, University of East Anglia, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504852.
Full textBatstone, Crispian Peter. "Ocean-atmosphere interactions within the Madden-Julian Oscillation." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398818.
Full textSugiyama, Masahiro Ph D. Massachusetts Institute of Technology. "The Madden-Julian oscillation and nonlinear moisture modes." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42924.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 231-245).
The Madden-Julian oscillation (MJO), the dominant tropical intraseasonal variability with widespread meteorological impacts, continues to puzzle the climate research community on both theoretical and modeling fronts. Motivated by a recent interest in the role of humidity in tropical dynamics, this thesis hypothesizes that the MJO is a nonlinear moisture mode whose existence depends on moisture-convection feedback (the feedback between deep convection and environmental free-tropospheric humidity), and that weak moisture convection feedback in general circulation models accounts for their deficiencies with the MJO simulations. Moisture modes are found to exist in a large class of linear primitive equation models on the equatorial beta-plane. For models with standard quasi-equilibrium parameterizations,perturbation expansion analyses demonstrate that the weak temperature gradient (WTG) approximation of Sobel et al. describes the small-scale limit of the moisture mode accurately,with the small expansion parameter being the ratio between temperature tendency and adiabatic cooling. Under the WTG balance, the only leading order variables are humidity and vertical motion. Analyses of three models in the literature show that a moisture mode is unstable if moist static energy (MSE) sources such as cloud radiative forcing or gust-enhanced surface heat flux exceed the MSE export. Numerical calculations of a single-column model under the WTG configuration show that a realistic convective scheme can reproduce moisture mode instability. Sensitivity tests on the strength of moisture-convection feedback in the Emanuel scheme indicate that such a feedback is essential for moisture mode instability, confirming the prediction from simple models. To explore the nonlinear regime of a moisture mode, numerical calculations of a simplified Quasi-equilibrium Tropical Circulation Model on the equatorial beta-plane have been performed.
A classical Gill model augmented with a prognostic humidity variable can capture nonlinear dynamics of the moisture mode. In particular, nonlinear advection of dry air by Rossby gyres is found to move the moisture mode eastward. Notwithstanding progress made in the present thesis, numerous difficulties abound. The most significant issue is that moisture mode instability favors the smallest scale in the linear regime. The author suggests that scale interaction and its effect on the humidity budget might be an important research topic.
by Masahiro Sugiyama.
Ph.D.
Ferreira, Ana Cristina. "O caso Maddie, na imprensa nacional: a semana seguinte." Master's thesis, Universidade da Beira Interior, 2009. http://hdl.handle.net/10400.6/1578.
Full textIn the view of many scholars in the media, the case Maddie meets many of the ingredients necessary for the public interest has kept the high that comes from falling within the top. If, at the outset, it is “only” the disappearance of a child among many others, the truth is that “an English girl, beautiful, blue-eyed, which disappears in an English tourist resort in the Algarve, had a holiday destination for insurance for their countrymen, it is always an open window of opportunity to the media”. The case of the disappearance of Madeleine McCann has been, without doubt, one of the most media and, especially, that have arisen marked in the media over the past two years. Thus, this work seeks to find a priority in the agendas of the media in this case, building on the concepts of news and «agenda-setting» and the effect of scheduling in various media.
Books on the topic "MADDPG"
Constantine, David J. Madder. Newcastle Upon Tyne: Bloodaxe, 1987.
Find full textCaswell, Brian. Maddie. St. Lucia, Qld., Australia: University of Queensland Press, 1995.
Find full textRayner, Claire. Maddie. London: Guild Publishing, 1988.
Find full textConstantine, David. Madder. Newcastle upon Tyne: Bloodaxe Books, 1987.
Find full textKorea). Institute for the Study of Theology Sŏnggyun'gwan Taehakkyo (Seoul. Madang. Seoul, Korea: Sungkonghoe University Press, 2004.
Find full textKing, Stephen. Rose Madder. New York: Signet, 1996.
Find full textKing, Stephen. Rose Madder. Oxford: ISIS, 1996.
Find full textKing, Stephen. Rose Madder. London: BCA, 1996.
Find full textKing, Stephen. Rose Madder. Boston: Compass Press, 1995.
Find full textRajentirakumar. Makalir Maddum. Madras: Arunotayam, 1985.
Find full textBook chapters on the topic "MADDPG"
Zhang, Yu, Shijia Zhou, Ning Guo, Tengfei Li, Xuechao Zou, and Pin Tao. "SMPG: Adaptive Soft Update for Masked MADDPG." In Data Mining and Big Data, 50–61. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-9297-1_5.
Full textXu, Zhong, Junxiang Liu, Le Luan, Weinan Fan, and Wenxiong Mo. "Self-adversarial Network Based on MADDPG for Emergency Power Dispatch." In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, 1036–44. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_99.
Full textWang, Ruizhe, Yuanqing Xia, Yiran Wei, Zhenhua Pan, and Jie Li. "MADDPG-Based Distributed Cooperative Search Strategy for Heterogeneous Agents System." In Lecture Notes in Electrical Engineering, 292–305. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3332-3_26.
Full textZhang, Haiwei, Weijun Zheng, Ding Chen, Jinghui Fang, and Yifei Wei. "Optimization of Energy Transaction Strategy Between Microgrids Based on MADDPG." In Human Centered Computing, 261–71. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23741-6_24.
Full textYao, Yiming, Tao Ren, Meng Cui, Dong Liu, and Jianwei Niu. "Meta-MADDPG: Achieving Transfer-Enhanced MEC Scheduling via Meta Reinforcement Learning." In Wireless Algorithms, Systems, and Applications, 572–85. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19211-1_47.
Full textNguyen, Tri-Hai, Truong Khang Nguyen, Minh-Phung Bui, Tuan-Duc Nguyen, Vo Nguyen Quoc Bao, and Demeke Shumeye Lakew. "Age of Information Minimization in Hierarchical Aerial Networks via MADDPG Approach." In Lecture Notes on Data Engineering and Communications Technologies, 375–84. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75593-4_34.
Full textZhou, Ping, and Hui Lu. "An Efficient MADDPG with Episode-Parallel Interaction and Dual Priority Experience Replay." In Lecture Notes in Electrical Engineering, 527–38. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3336-1_45.
Full textWang, Weifeng, Baiqiao Huang, and YanXia Wu. "Design of a Multi-unmanned Aerial Vehicle Cooperative Hunting System Based on MADDPG." In Lecture Notes in Electrical Engineering, 480–86. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7139-4_66.
Full textXu, Leixin, Weibin Chen, Xiang Liu, and Yang-Yang Chen. "MADDPG: Multi-agent Deep Deterministic Policy Gradient Algorithm for Formation Elliptical Encirclement and Collision Avoidance." In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, 239–50. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3998-3_24.
Full textJohnson, Mark. "Maddog Trades." In Full Trading Circle, 281–94. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119204503.app3.
Full textConference papers on the topic "MADDPG"
Han, Zhenyuan, Lu Sun, Liangtian Wan, Ruoheng Luo, and Xianpeng Wang. "MADDPG-Based Power Control Strategy for Unmanned Vehicles." In 2024 IEEE International Conference on Smart Internet of Things (SmartIoT), 45–50. IEEE, 2024. https://doi.org/10.1109/smartiot62235.2024.00016.
Full textGuo, Jiawen, and Guohui Zhu. "Resource Allocation Strategy for Intra-slice Networks Based on MADDPG." In 2024 6th International Conference on Natural Language Processing (ICNLP), 643–49. IEEE, 2024. http://dx.doi.org/10.1109/icnlp60986.2024.10692486.
Full textXiang, Fangyue. "Multi-vessel area target search model based on MADDPG algorithm." In 2024 4th International Symposium on AI (ISAI), 11–15. IEEE, 2024. http://dx.doi.org/10.1109/isai63299.2024.00012.
Full textYun, Hanxu. "Multi-Agents on a Muti-Layer Network A MADDPG-Based Method." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE), 1456–59. IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653107.
Full textZhao, Liang, Zihang Gao, Ammar Hawbani, Wei Zhao, Chaojin Mao, and Na Lin. "Fuzzy-MADDPG based Multi-UAV Cooperative Search in Network-limited Environments." In 2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 1–7. IEEE, 2024. https://doi.org/10.1109/ict-dm62768.2024.10798954.
Full textTilahun, Fitsum Debebe, and Chung G. Kang. "Dynamic Resource Allocation in Cell-Free MEC: Leveraging Attention Mechanism with MADDPG." In 2024 IEEE 29th Asia Pacific Conference on Communications (APCC), 315–18. IEEE, 2024. https://doi.org/10.1109/apcc62576.2024.10768069.
Full textXu, Junwei, and Chunhui Liu. "Resource Allocation in Multi-UAV Communication Networks Using MADDPG Framework with Double Reward and Task Decomposition." In 2024 5th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 371–76. IEEE, 2024. https://doi.org/10.1109/isceic63613.2024.10810184.
Full textSailahari, Kakumani, Anjana A. Mahesh, Charul Rajput, and B. Sundar Rajan. "Performance of Maddah-Ali-Niesen Scheme for Multi-Access Coded Caching Over Noisy Channels." In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 1–7. IEEE, 2023. http://dx.doi.org/10.1109/pimrc56721.2023.10643138.
Full textSodiq, Mochamad, Prasojo Satrio, Endang Mannan, and Muhammad Nurpratama. "Utilization Mading (Wall Magazine) in the Faculty of Social and Political Sciences, University of Airlangga." In 3rd International Conference on Record and Library, 203–8. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008669200002300.
Full textQi, Xiaoke, Hao Gu, Jiangyan Yi, Jianhua Tao, Yong Ren, Jiayi He, and Siding Zeng. "MADD: A Multi-Lingual Multi-Speaker Audio Deepfake Detection Dataset." In 2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP), 466–70. IEEE, 2024. https://doi.org/10.1109/iscslp63861.2024.10800535.
Full textReports on the topic "MADDPG"
Sperber, Kenneth, Duane Waliser, Eric Maloney, Matthew Wheeler, Daehyun Kim, and Steve Woolnough. Legacy of the Madden-Julian Oscillation Working Group. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1490929.
Full textLong, Chuck. Atmospheric Radiation Measurement Madden-Julian Oscillation Investigation Experiment Field Campaign Report. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1302195.
Full textHouze, Robert A. Using AMIE data to study cloud processes within the Madden-Julian Oscillation. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1229886.
Full textCeylan, Mustafa. Toplumun Faizli Krediye Dair Değişen Algısı Hakkında Bir Mülakat Çalışması. İLKE İlim Kültür Eğitim Vakfı, March 2021. http://dx.doi.org/10.26414/ikm004.
Full textLong, C., A. Del Genio, W. Gustafson, R. Houze, C. Jakob, M. Jensen, S. Klein, et al. AMIE (ARM MJO Investigation Experiment): Observations of the Madden-Julian Oscillation for Modeling Studies Science Plan. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/973805.
Full textMunter, J. A. A preliminary evaluation of static water level declines in wells in the Maddux Park Subdivision, Anchorage, Alaska. Alaska Division of Geological & Geophysical Surveys, 1989. http://dx.doi.org/10.14509/1424.
Full textBrewer, William A. Analysis of Low Level Winds Measured by a Ship-Mounted, High Resolution Doppler Lidar during the Dynamics of the Madden Julian Oscillation (DYANMO) Experiment. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574048.
Full textHrynick, Tabitha, and Santiago Ripoll. Evidence Review: Achieving COVID-19 Vaccine Equity in Ealing and North West London. Institute of Development Studies (IDS), November 2021. http://dx.doi.org/10.19088/sshap.2021.040.
Full textDemir, Abdullah. Oku Okut Derneği Faaliyet Raporu-2021. Oku Okut Yayınları, February 2022. http://dx.doi.org/10.55709/okuokutyayinlari.15.
Full textTic Disorders and Tourette Syndrome: Exploring the INTEND Project. ACAMH, April 2024. http://dx.doi.org/10.13056/acamh.26823.
Full text