Artigos de revistas sobre o tema "Source term estimation"
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Long, Kerrie J., Sue Ellen Haupt e George S. Young. "Assessing sensitivity of source term estimation". Atmospheric Environment 44, n.º 12 (abril de 2010): 1558–67. http://dx.doi.org/10.1016/j.atmosenv.2010.01.003.
Texto completo da fonteGudiksen, P. H., T. F. Harvey e R. Lange. "Chernobyl Source Term, Atmospheric Dispersion, and Dose Estimation". Health Physics 57, n.º 5 (novembro de 1989): 697–706. http://dx.doi.org/10.1097/00004032-198911000-00001.
Texto completo da fonteBushe, W. Kendal, e Helfried Steiner. "Laminar flamelet decomposition for conditional source-term estimation". Physics of Fluids 15, n.º 6 (2003): 1564. http://dx.doi.org/10.1063/1.1569483.
Texto completo da fonteLoewenthal, Dan, e Vladimir Shtivelman. "Source signature estimation using fictitious source and reflector". GEOPHYSICS 54, n.º 7 (julho de 1989): 916–20. http://dx.doi.org/10.1190/1.1442721.
Texto completo da fonteLu, Jinshu, Mengqing Huang, Wenfeng Wu, Yonghui Wei e Chong Liu. "Application and Improvement of the Particle Swarm Optimization Algorithm in Source-Term Estimations for Hazardous Release". Atmosphere 14, n.º 7 (19 de julho de 2023): 1168. http://dx.doi.org/10.3390/atmos14071168.
Texto completo da fonteJing, Yuanqi, Zhonglin Gu, Fei Li e Kai Zhang. "Gaseous Pollutent Source Term Estimation Based on Adjoint Probability and Regularization Method". E3S Web of Conferences 356 (2022): 05048. http://dx.doi.org/10.1051/e3sconf/202235605048.
Texto completo da fonteCheng, Kuang, Xiangyu Zhao, Wang Zhou, Yi Cao, Shuang-Hua Yang e Jianmeng Chen. "Source term estimation with deficient sensors: Traceability and an equivalent source approach". Process Safety and Environmental Protection 152 (agosto de 2021): 131–39. http://dx.doi.org/10.1016/j.psep.2021.05.035.
Texto completo da fonteNayak, M. K., T. K. Sahu, H. G. Nair, R. V. Nandedkar, Tapas Bandyopadhyay, R. M. Tripathi, P. R. Hannurkar e D. N. Sharma. "Bremsstrahlung source term estimation for high energy electron accelerators". Radiation Physics and Chemistry 113 (agosto de 2015): 1–5. http://dx.doi.org/10.1016/j.radphyschem.2015.04.004.
Texto completo da fonteLi, Hui, Jianwen Zhang e Junkai Yi. "Computational source term estimation of the Gaussian puff dispersion". Soft Computing 23, n.º 1 (4 de agosto de 2018): 59–75. http://dx.doi.org/10.1007/s00500-018-3440-2.
Texto completo da fonteMazzini, Guido, Tadas Kaliatka, Maria Teresa Porfiri, Luigi Antonio Poggi, Andrea Malizia e Pasqualino Gaudio. "Methodology of the source term estimation for DEMO reactor". Fusion Engineering and Design 124 (novembro de 2017): 1199–202. http://dx.doi.org/10.1016/j.fusengdes.2017.04.101.
Texto completo da fonteEslinger, Paul W., Jennifer M. Mendez e Brian T. Schrom. "Source term estimation in the presence of nuisance signals". Journal of Environmental Radioactivity 203 (julho de 2019): 220–25. http://dx.doi.org/10.1016/j.jenvrad.2019.03.022.
Texto completo da fonteBieringer, Paul E., George S. Young, Luna M. Rodriguez, Andrew J. Annunzio, Francois Vandenberghe e Sue Ellen Haupt. "Paradigms and commonalities in atmospheric source term estimation methods". Atmospheric Environment 156 (maio de 2017): 102–12. http://dx.doi.org/10.1016/j.atmosenv.2017.02.011.
Texto completo da fonteUdiyani, Pande Made, Ihda Husnayani, Mohamad Budi Setiawan, Sri Kuntjoro, Hery Adrial e Amir Hamzah. "ESTIMATION OF THE RADIOACTIVE SOURCE TERM FROM RDE ACCIDENT POSTULATION". JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 21, n.º 3 (11 de novembro de 2019): 113. http://dx.doi.org/10.17146/tdm.2019.21.3.5583.
Texto completo da fonteZhao, Xiangyu, Kuang Cheng, Wang Zhou, Yi Cao, Shuang-hua Yang e Jianmeng Chen. "Source term estimation with deficient sensors: A temporal augment approach". Process Safety and Environmental Protection 157 (janeiro de 2022): 131–39. http://dx.doi.org/10.1016/j.psep.2021.10.042.
Texto completo da fonteXu, Jinjin, Wenli Du, Qiaoyi Xu, Jikai Dong e Bing Wang. "Federated learning based atmospheric source term estimation in urban environments". Computers & Chemical Engineering 155 (dezembro de 2021): 107505. http://dx.doi.org/10.1016/j.compchemeng.2021.107505.
Texto completo da fonteLabahn, Jeffrey W., Cecile B. Devaud, Timothy A. Sipkens e Kyle J. Daun. "Inverse analysis and regularisation in conditional source-term estimation modelling". Combustion Theory and Modelling 18, n.º 3 (4 de maio de 2014): 474–99. http://dx.doi.org/10.1080/13647830.2014.927076.
Texto completo da fonteNayak, M. K., T. K. Sahu, Haridas G. Nair, R. V. Nandedkar, Tapas Bandyopadhyay, R. M. Tripathi e P. R. Hannurkar. "Optimum target source term estimation for high energy electron accelerators". Radiation Physics and Chemistry 122 (maio de 2016): 77–81. http://dx.doi.org/10.1016/j.radphyschem.2016.01.026.
Texto completo da fonteQiu, Sihang, Bin Chen, Zhengqiu Zhu, Yuan Wang e Xiaogang Qiu. "Source term estimation using air concentration measurements during nuclear accident". Journal of Radioanalytical and Nuclear Chemistry 311, n.º 1 (15 de julho de 2016): 165–78. http://dx.doi.org/10.1007/s10967-016-4941-z.
Texto completo da fonteLi, Hui, e Jianwen Zhang. "Fast source term estimation using the PGA-NM hybrid method". Engineering Applications of Artificial Intelligence 62 (junho de 2017): 68–79. http://dx.doi.org/10.1016/j.engappai.2017.03.010.
Texto completo da fonteBailly du Bois, P., P. Laguionie, D. Boust, I. Korsakissok, D. Didier e B. Fiévet. "Estimation of marine source-term following Fukushima Dai-ichi accident". Journal of Environmental Radioactivity 114 (dezembro de 2012): 2–9. http://dx.doi.org/10.1016/j.jenvrad.2011.11.015.
Texto completo da fonteEslinger, Paul W., Justin D. Lowrey, Harry S. Miley, W. Steven Rosenthal e Brian T. Schrom. "Source term estimation using multiple xenon isotopes in atmospheric samples". Journal of Environmental Radioactivity 204 (agosto de 2019): 111–16. http://dx.doi.org/10.1016/j.jenvrad.2019.04.004.
Texto completo da fonteXue, Fei, Xiaofeng Li, Ryozo Ooka, Hideki Kikumoto e Weirong Zhang. "Turbulent Schmidt number for source term estimation using Bayesian inference". Building and Environment 125 (novembro de 2017): 414–22. http://dx.doi.org/10.1016/j.buildenv.2017.09.012.
Texto completo da fonteBourne, Joseph R., Eric R. Pardyjak e Kam K. Leang. "Coordinated Bayesian-Based Bioinspired Plume Source Term Estimation and Source Seeking for Mobile Robots". IEEE Transactions on Robotics 35, n.º 4 (agosto de 2019): 967–86. http://dx.doi.org/10.1109/tro.2019.2912520.
Texto completo da fonteWang, Hanchen, Qiang Guo, Tariq Alkhalifah e Zedong Wu. "Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set". GEOPHYSICS 85, n.º 6 (1 de novembro de 2020): KS207—KS219. http://dx.doi.org/10.1190/geo2019-0738.1.
Texto completo da fonteKim, S. G., Y. T. Chen, Z. L. Wu e G. F. Panza. "A mathematical theorem useful for the direct estimation of seismic source spectra". Bulletin of the Seismological Society of America 87, n.º 5 (1 de outubro de 1997): 1281–87. http://dx.doi.org/10.1785/bssa0870051281.
Texto completo da fonteYAMAZAWA, Hiromi. "Source Term Estimation Method Using Long-range Inverse Atmospheric Transport Simulation." Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan 40, n.º 11 (1998): 885–91. http://dx.doi.org/10.3327/jaesj.40.885.
Texto completo da fonteFang, Xiao Hang, Riyaz Ismail, Kendal Bushe e Martin Davy. "Simulation of ECN diesel spray A using conditional source-term estimation". Combustion Theory and Modelling 24, n.º 4 (17 de abril de 2020): 725–60. http://dx.doi.org/10.1080/13647830.2020.1752942.
Texto completo da fonteJurczyk, Anna, Katarzyna Ośródka, Jan Szturc, Magdalena Pasierb e Agnieszka Kurcz. "Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)". Atmospheric Measurement Techniques 16, n.º 17 (11 de setembro de 2023): 4067–79. http://dx.doi.org/10.5194/amt-16-4067-2023.
Texto completo da fonteBrenden, Travis O., Iyob Tsehaye, James R. Bence, Jeannette Kanefsky e Kim T. Scribner. "Indexing recruitment for source populations contributing to mixed fisheries by incorporating age in genetic stock identification models". Canadian Journal of Fisheries and Aquatic Sciences 75, n.º 6 (junho de 2018): 934–54. http://dx.doi.org/10.1139/cjfas-2016-0525.
Texto completo da fonteAria, Amin, Enrique Lopez Droguett, Shapour Azarm e Mohammad Modarres. "Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion". Structural Health Monitoring 19, n.º 5 (29 de novembro de 2019): 1542–59. http://dx.doi.org/10.1177/1475921719890616.
Texto completo da fonteRahbar, Faezeh, Ali Marjovi e Alcherio Martinoli. "Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization". Sensors 19, n.º 3 (5 de fevereiro de 2019): 656. http://dx.doi.org/10.3390/s19030656.
Texto completo da fonteLin, Minghao, Qiang Fang, Jizhe Xia e Chenyang Xu. "Air Temperature Monitoring over Low Latitude Rice Planting Areas: Combining Remote Sensing, Model Assimilation, and Machine Learning Techniques". Remote Sensing 15, n.º 15 (31 de julho de 2023): 3805. http://dx.doi.org/10.3390/rs15153805.
Texto completo da fonteTurbelin, Grégory, Sarvesh Singh, Jean Pierre Issartel, Xavier Busch e Pramod Kumar. "Computation of Optimal Weights for Solving the Atmospheric Source Term Estimation Problem". Journal of Atmospheric and Oceanic Technology 36, n.º 6 (junho de 2019): 1053–61. http://dx.doi.org/10.1175/jtech-d-18-0145.1.
Texto completo da fonteDenzler, Basil, Christian Bogdal, Cyrill Kern, Anna Tobler, Jing Huo e Konrad Hungerbühler. "Urban source term estimation for mercury using a boundary-layer budget method". Atmospheric Chemistry and Physics 19, n.º 6 (25 de março de 2019): 3821–31. http://dx.doi.org/10.5194/acp-19-3821-2019.
Texto completo da fonteLiu, Zhenzhe, e Xiaofeng Li. "The impact of sensor layout on Source Term Estimation in urban neighborhood". Building and Environment 213 (abril de 2022): 108859. http://dx.doi.org/10.1016/j.buildenv.2022.108859.
Texto completo da fonteTsui, Hong Pak, e William Kendal Bushe. "Conditional Source-term Estimation using dynamic ensemble selection and parallel iterative solution". Combustion Theory and Modelling 20, n.º 5 (10 de junho de 2016): 812–33. http://dx.doi.org/10.1080/13647830.2016.1178811.
Texto completo da fonteJensen, Derek D., Donald D. Lucas, Katherine A. Lundquist e Lee G. Glascoe. "Sensitivity of a Bayesian source-term estimation model to spatiotemporal sensor resolution". Atmospheric Environment: X 3 (julho de 2019): 100045. http://dx.doi.org/10.1016/j.aeaoa.2019.100045.
Texto completo da fonteOliveira, André José Pereira de, Luiz Alberto da Silva Abreu e Diego Campos Knupp. "Explicit scheme based on integral transforms for estimation of source terms in diffusion problems in heterogeneous media". Journal of Engineering and Exact Sciences 9, n.º 10 (29 de dezembro de 2023): 17811. http://dx.doi.org/10.18540/jcecvl9iss10pp17811.
Texto completo da fonteTichý, Ondřej, Lukáš Ulrych, Václav Šmídl, Nikolaos Evangeliou e Andreas Stohl. "On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART". Geoscientific Model Development 13, n.º 12 (1 de dezembro de 2020): 5917–34. http://dx.doi.org/10.5194/gmd-13-5917-2020.
Texto completo da fonteSelvi B., Dora Arul, e Kannan S. "A Performance Comparison of Machine Learning Methods For Short-Range Wind Power Estimation". E3S Web of Conferences 387 (2023): 05013. http://dx.doi.org/10.1051/e3sconf/202338705013.
Texto completo da fonteTølløse, Kasper Skjold, e Jens Havskov Sørensen. "Bayesian Inverse Modelling for Probabilistic Multi-Nuclide Source Term Estimation Using Observations of Air Concentration and Gamma Dose Rate". Atmosphere 13, n.º 11 (10 de novembro de 2022): 1877. http://dx.doi.org/10.3390/atmos13111877.
Texto completo da fonteFaes, Axel, Iris Vantieghem e Marc M. Van Hulle. "Neural Networks for Directed Connectivity Estimation in Source-Reconstructed EEG Data". Applied Sciences 12, n.º 6 (11 de março de 2022): 2889. http://dx.doi.org/10.3390/app12062889.
Texto completo da fonteRyan, Sydney D., e Chris J. Arisman. "Uncertainty quantification of steady and transient source term estimation in an urban environment". Environmental Fluid Mechanics 21, n.º 3 (3 de maio de 2021): 713–40. http://dx.doi.org/10.1007/s10652-021-09794-6.
Texto completo da fonteHam, Jaehyun, Sang Ho Kim, Sung Il Kim, Byeonghee Lee, Jong-Hwa Park, Rae-Joon Park e Jaehoon Jung. "Source Term Estimation under the SBLOCA-Induced Severe Accident Condition in the SMART". Science and Technology of Nuclear Installations 2021 (12 de abril de 2021): 1–14. http://dx.doi.org/10.1155/2021/6686615.
Texto completo da fonteSeptier, François, Patrick Armand e Christophe Duchenne. "Sequential Monte Carlo sampler applied to source term estimation in complex atmospheric environments". Atmospheric Environment 269 (janeiro de 2022): 118822. http://dx.doi.org/10.1016/j.atmosenv.2021.118822.
Texto completo da fonteZhou, Wang, Xiangyu Zhao, Kuang Cheng, Yi Cao, Shuang-Hua Yang e Jianmeng Chen. "Source term estimation with deficient sensors: Error analysis and mobile station route design". Process Safety and Environmental Protection 154 (outubro de 2021): 97–103. http://dx.doi.org/10.1016/j.psep.2021.08.001.
Texto completo da fonteLiu, Suning, Haiyun Shi e Bellie Sivakumar. "Long-term mean river discharge estimation with multi-source grid-based global datasets". Stochastic Environmental Research and Risk Assessment 36, n.º 2 (11 de novembro de 2021): 679–91. http://dx.doi.org/10.1007/s00477-021-02128-4.
Texto completo da fonteZhuk, Sergiy, Tigran T. Tchrakian, Stephen Moore, Rodrigo Ordón͂ez-Hurtado e Robert Shorten. "On Source-Term Parameter Estimation for Linear Advection-Diffusion Equations with Uncertain Coefficients". SIAM Journal on Scientific Computing 38, n.º 4 (janeiro de 2016): A2334—A2356. http://dx.doi.org/10.1137/15m1034829.
Texto completo da fonteKim, Minsik, Ryohji Ohba, Masamichi Oura, Shinsuke Kato, Masayuki Takigawa, Paul E. Bieringer, Bent Lauritzen e Martin Drews. "A source term estimation method for a nuclear accident using atmospheric dispersion models". International Journal of Environment and Pollution 58, n.º 1/2 (2015): 39. http://dx.doi.org/10.1504/ijep.2015.076582.
Texto completo da fonteTinarelli, Gianni, Francesco Uboldi e Giuseppe Carlino. "Source term estimation using an adjoint model: a comparison of two different algorithms". International Journal of Environment and Pollution 64, n.º 1/2/3 (2018): 209. http://dx.doi.org/10.1504/ijep.2018.099157.
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