Gotowe bibliografie tematyczne / Hybrid model

Gotowa bibliografia na temat „Hybrid model”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 11 września 2023

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Artykuły w czasopismach na temat "Hybrid model"

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Turgut, Mehmet, i Alp Ustundag. "A Hybrid Risk Evaluation Model for Automotive Production". International Journal of Machine Learning and Computing 4, nr 5 (2014): 458–62. http://dx.doi.org/10.7763/ijmlc.2014.v4.454.

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Douzi, Samira, Feda A. AlShahwan, Mouad Lemoudden i Bouabid El Ouahidi. "Hybrid Email Spam Detection Model Using Artificial Intelligence". International Journal of Machine Learning and Computing 10, nr 2 (luty 2020): 316–22. http://dx.doi.org/10.18178/ijmlc.2020.10.2.937.

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STONIČ, DAVID. "PREDSTAVITEV MODELA ZA PREPOZNAVANJE HIBRIDNIH GROŽENJ". 20 YEARS OF CONTEMPORARY MILITARY CHALLENGES/20 LET SODOBNIH VOJAŠKIH IZZIVOV, VOLUME 2018, ISSUE 20/4 (15.10.2018): 105–18. http://dx.doi.org/10.33179/bsv.99.svi.11.cmc.20.4.5.

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Povzetek V spremenjenem varnostnem okolju moramo razviti ustrezne koncepte in orodja za pravočasno prepoznavanje in opredelitev hibridnih groženj, da bi se lahko uspešno odzvali. Oblikovali smo model, ki grožnje poveže z akterjem. Ovrednoteni obveščevalni podatki so vstopne informacije v izdelan model za ocenjevanje hibridne ogroženosti nacionalne varnosti. Izhodna informacija je identificirana hibridna grožnja. Ob izpolnitvi pogoja hibridne ogroženosti lahko nacionalnovarnostni sistem začne izvajati ukrepe, ki bi zmanjšali zmožnosti delovanja hibridnega akterja. Zavedanje o obstoju hibridnih groženj in njihovo identificiranje bo spodbudilo odločevalce v nacionalnovarnostnem sistemu, da bodo zagotovili ustrezno hibridno odpornost države, saj je primarna odgovornost za spoprijemanje s hibridnimi grožnjami predvsem odgovornost države. Nujen je celostni vladni pristop v povezavi z Evropsko unijo in Severnoatlantskim zavezništvom. Ključne besede: hibridne grožnje, indikatorji konvencionalnega ogrožanja, indikatorji nekonvencionalnega ogrožanja. Abstract In the changed security environment, we have to be able to develop appropriate concepts and tools for timely identification and definition of hybrid threats. We have developed a model, which relates threats with actors. The evaluated intelligence then serves as input information for the national security hybrid threat evaluation model. The output information is an identified hybrid threat. When a hybrid threat is identified, the national security system can take adequate measures to hinder the operational ability of hybrid actors. The awareness of hybrid threats and their identification will encourage decision makers in the national security system to ensure adequate hybrid resilience of the country, since countering hybrid threats is a state’s primary responsibility, which requires a comprehensive governmental approach in cooperation with the European Union and the North Atlantic Alliance. Key words: Hybrid threats, conventional threat indicators, unconventional threat indicators
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Zhang, Wei, i Youxian Sun. "Hybrid Automaton Model and Control of Hybird Systems". Developments in Chemical Engineering and Mineral Processing 9, nr 1-2 (15.05.2008): 143–50. http://dx.doi.org/10.1002/apj.5500090217.

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Wang, Jing, i Nianlong Luo. "A New Hybrid Popular Model for Personalized Tag Recommendation". Journal of Computers 11, nr 2 (marzec 2016): 116–23. http://dx.doi.org/10.17706/jcp.11.2.116-123.

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Baker, Jim. "A Hybrid Model for a Hybrid Science". Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology 1, nr 1 (20.11.2008): 1. http://dx.doi.org/10.1002/wnan.32.

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Bojović, Žana, i Jelena Stojkanović. "Flipped classroom: A model of hybrid teaching". Zbornik radova Pedagoskog fakulteta Uzice, nr 24 (2022): 11–28. http://dx.doi.org/10.5937/zrpfu2224011b.

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In the field of education, special attention has been paid recently to improving the quality of the teaching process as well as readiness to adapt to many challenges of modern society, especially in extraordinary circumstances such as the COVID-19 pandemic. One of the alternative ways of teaching is the model of the Flipped Classroom, whose basic settings come from the Theory of Self-Determination. The essence of the Flipped classroom is in creating a stimulating learning environment in accordance with one's own abilities and interests, outside the classic classrooms. The didactic-methodical implications of the application of this teaching model are reflected in the possibility of individualizing the learning process (students choose the type of teaching material offered, determine the time, place and pace of learning), in developing students' cognitive abilities for independent research, critical analysis and use of different sources (printed and electronic) for additional explanations of curriculum content. The received feedback increases the motivation to learn. The work of students is harmonized with their possibilities, interests and prior knowledge. Disadvantages of this model are: insufficient training of teachers to create and work on e-learning platforms, which requires additional training in computer literacy for both teachers and students, preparation of materials takes a lot of time, greater cognitive load for students, adapting the curriculum to this model, and students spending a lot time in front of a computer.
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Andreichenko, D. K., K. P. Andreichenko i I. A. Batraeva. "Hybrid Automation Extended Model". Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics 19, nr 1 (2019): 94–104. http://dx.doi.org/10.18500/1816-9791-2019-19-1-94-104.

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Haire, Mark S., i David P. Knobles. "Geoacoustic inversion hybrid model". Journal of the Acoustical Society of America 109, nr 5 (maj 2001): 2394. http://dx.doi.org/10.1121/1.4744447.

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Dobrev, I., F. Massouh i M. Rapin. "Actuator surface hybrid model". Journal of Physics: Conference Series 75 (1.07.2007): 012019. http://dx.doi.org/10.1088/1742-6596/75/1/012019.

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Rozprawy doktorskie na temat "Hybrid model"

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Weingarten, Leopold. "Physical Hybrid Model : Measurement - Experiment - Simulation". Thesis, Uppsala universitet, Fasta tillståndets fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176412.

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A method has been developed, Physical Hybrid Model, to investigate the physical large scale electrical effects of a Battery Energy Storage System (BESS) on a distribution grid by scaling the response from a small size Research Development and Demonstration (RD&D) platform. In order to realize the model the control system of an existing RD&D platform was refurbished and stability of components ensured. The Physical Hybrid Model proceeds as follows: Data from a distribution grid are collected. A BESS cycle curve is produced based on analyzed measurements. Required BESS power and capacity in investigated grid is scaled down by factor k to that of the physical test installation of the RD&D platform. The scaled BESS cycle is sent as input to control of the battery cycling of the RD&D platform. The response from the RD&D platform is scaled – up, and used in simulation of the distribution grid to find the impact of a BESS. The model was successfully implemented on a regional distribution grid in southern Sweden.
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Wall, Wolfe. "A hybrid model of proton scattering /". Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59833.

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A model is presented to describe pp and pp scattering in the c.m.s. energy range from 5 Gev to 1.8 Tev. Although some attention is paid to properties of the differential cross section, the primary focus is on parametrizing the forward amplitude in a manner consistent with experimental measurements of the total cross section, the rho parameter, and the forward slope. The model is a hybrid, employing Regge Theory for energy dependence, dipole form factors for momentum transfer distributions, and impact parameter eikonalization is used to unitarize the amplitude. The model is first motivated, then the results of fits to data are presented, and finally it is compared to a model based on hard scattering of partons.
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Monaghan, Anne. "Beyond transformative mediation : a hybrid model". Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581970.

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This research tests whether a third model or approach to mediation is possible, if not already in existence - a hybrid model. Two of the main approaches to mediation are explored - transformative and problem-solving - and the hypothesis that a process exists or could be developed that combines elements of both is tested. Transformative mediation was outlined in The Promise of Mediation by Bush and Folger in 1994 and for the purposes of this study John Wear Burton's work is examined as an example of problem-solving mediation. A number of case-studies around parading disputes in Northern Ireland are looked at in more detail as evidence of transformative and problem-solving practice; to test whether hybridity exists and/or whether a model combining elements of both transformative and problem-solving practice is feasible. The major division in mediation theory and practice at present is around where the focus of the process and the mediator's attention should lie. Transformative mediators argue it should focus on the relationship while problem-solving practitioners argue that sometimes those in conflict are not ready, willing or able to aim their attention there. Where this is the case, they argue the mediator should bank any progress or agreements, particularly where there is violence. Interviews with subjects included practitioners operating out of one or other main models of mediation and some who operated out of neither and had no formal training, having leaned their craft on the ground. This research makes a contribution to knowledge in the field as hybrid processes were either found to exist, as in the case of the Newry Good Relations Forum; or it was acknowledged that processes that focused on one element - either the relational or problem-solving - to the detriment of the other element remained contested, for example, the Drumcree dispute.
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Mei, Zhu. "Structural hybrid simulation with model updating of material constitutive model". Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/368550.

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When hybrid simulation (HS) with substructures is employed for assessing the seismic behavior of a large complex structure, it is unrealistic to test all the components that may exhibit strong nonlinearity. Hence, the accuracy of the numerical substructure (NS) faces an increased challenge. To this end, this paper will emphasize on improving the accuracy of the NS in hybrid simulation based on the model updating approach. Most hybrid simulations with model updating (UHS) focus on updating the parameters of the component constitutive model (story shear model) leading to large modeling errors and the unknown detail responses. Moreover, the most extensively used component constitutive models, such as the Bouc-Wen model, are the models in a narrow sense because they are different for various RC members when the size of the component, boundary conditions, axial compression ratio, and the volumetric stirrup ratio are different from one component to the other. Thus, numerous parameters are needed to describe the displacement-force relations of different components, which leads to the huge computational burden. With this respect, this paper proposes a novel hybrid simulation approach based on identifying and updating the parameters of the material constitutive model. The main work and results are concluded as follows, 1. The unified constitutive model of unconfined and confined concrete is derived from the existing uniaxial concrete constitutive models by introducing the volumetric stirrup ratio. 2. To solve the problem that the relation of the measurements (force of the specimen of a RC member) and the identified parameters (concrete constitutive parameters) are difficult to analytical expressed, an OpenSees embedded unscented Kalman filter is proposed for parameter identification. To this end, several parts of the OpenSees source codes are developed and modified. 3. The proposed identification method and hybrid simulation based on updating the concrete constitutive parameters are respectively validated through a monotonic loading test on a RC column and a UHS on a RC frame. The results show that the convergence values of each parameter under various experimental cases are close to each other with a small variance, which indicates that the proposed identification method is robust and reliable. Comparing to the standard HS, the accuracy of the NS, hence the UHS, is significantly improved. 4. Apply the proposed UHS to a RC continuous rigid bridge with tall thin-walled piers. It concludes that the performance of the identification method is still quite good. Contrasting to the simpler structure, the improved accuracy of a large complex structure is even greater. Moreover, the accuracy of the NS can be greatly increased even though the model error is increased. By tuning the initial values of constitutive parameters, the negative influence of model error is decreased to further improve the precision of the NS. By observing the specimen, it is found that the thin-walled hollow section specimen is a bending-shear type damage mode and finally damaged due to the tensile rupture of the stirrup.
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Mei, Zhu. "Structural hybrid simulation with model updating of material constitutive model". Doctoral thesis, University of Trento, 2018. http://eprints-phd.biblio.unitn.it/2959/1/TESI_ZHU_MEI.pdf.

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When hybrid simulation (HS) with substructures is employed for assessing the seismic behavior of a large complex structure, it is unrealistic to test all the components that may exhibit strong nonlinearity. Hence, the accuracy of the numerical substructure (NS) faces an increased challenge. To this end, this paper will emphasize on improving the accuracy of the NS in hybrid simulation based on the model updating approach. Most hybrid simulations with model updating (UHS) focus on updating the parameters of the component constitutive model (story shear model) leading to large modeling errors and the unknown detail responses. Moreover, the most extensively used component constitutive models, such as the Bouc-Wen model, are the models in a narrow sense because they are different for various RC members when the size of the component, boundary conditions, axial compression ratio, and the volumetric stirrup ratio are different from one component to the other. Thus, numerous parameters are needed to describe the displacement-force relations of different components, which leads to the huge computational burden. With this respect, this paper proposes a novel hybrid simulation approach based on identifying and updating the parameters of the material constitutive model. The main work and results are concluded as follows, 1. The unified constitutive model of unconfined and confined concrete is derived from the existing uniaxial concrete constitutive models by introducing the volumetric stirrup ratio. 2. To solve the problem that the relation of the measurements (force of the specimen of a RC member) and the identified parameters (concrete constitutive parameters) are difficult to analytical expressed, an OpenSees embedded unscented Kalman filter is proposed for parameter identification. To this end, several parts of the OpenSees source codes are developed and modified. 3. The proposed identification method and hybrid simulation based on updating the concrete constitutive parameters are respectively validated through a monotonic loading test on a RC column and a UHS on a RC frame. The results show that the convergence values of each parameter under various experimental cases are close to each other with a small variance, which indicates that the proposed identification method is robust and reliable. Comparing to the standard HS, the accuracy of the NS, hence the UHS, is significantly improved. 4. Apply the proposed UHS to a RC continuous rigid bridge with tall thin-walled piers. It concludes that the performance of the identification method is still quite good. Contrasting to the simpler structure, the improved accuracy of a large complex structure is even greater. Moreover, the accuracy of the NS can be greatly increased even though the model error is increased. By tuning the initial values of constitutive parameters, the negative influence of model error is decreased to further improve the precision of the NS. By observing the specimen, it is found that the thin-walled hollow section specimen is a bending-shear type damage mode and finally damaged due to the tensile rupture of the stirrup.
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Sitanggang, Khairil Irfan. "Boussinesq-equation and rans hybrid wave model". [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2795.

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Murphy, Hunter A. "Hybrid image/model based gaze-contingent rendering". Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1202498841/.

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Blais, Bruno. "Model-based visual inspection of hybrid circuits". Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63928.

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Merlin, J. H. "Hybrid mesons in the flux-tube model". Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375288.

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Henry, Melvin Michael 1968. "Model-based estimation of probabilistic hybrid automata". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/82249.

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Książki na temat "Hybrid model"

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Mittal, Abhinav, Puneet Agrawal i Shuchi Agrawal. Hybrid Annuity Model (HAM) of Hybrid Public-Private Partnership Projects. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-2019-6.

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Wang, Danwei, Ming Yu, Chang Boon Low i Shai Arogeti. Model-based Health Monitoring of Hybrid Systems. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7369-5.

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Sproston, Jeremy James. Model checking of probabilistic timed and hybrid systems. Birmingham: University of Birmingham, 2000.

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Borutzky, Wolfgang. Bond Graph Model-based Fault Diagnosis of Hybrid Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11860-4.

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Altus, Eli. Fatigue of hybrid composites by a cohesive micromechanic model. Haifa, Isreal: Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, 1991.

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Djoudad, Ramdane. A small dynamic hybrid model for the euro area. Ottawa: Bank of Canada, 2003.

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Draxler, Roland R. Hybrid single-particle Lagrangian integrated trajectories (HY-SPLIT): Model description. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1988.

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Pergament, Harold S. Hybrid two-equation turbulence model for high speed propulsive jets. New York: AIAA, 1986.

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United States. National Aeronautics and Space Administration., red. Traction free finite elements with the assumed stress hybrid model. [Washington, DC]: National Aeronautics and Space Administration, 1991.

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Draxler, Roland R. Hybrid single-particle Lagrangian integrated trajectories (HY-SPLIT): Model description. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1988.

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Części książek na temat "Hybrid model"

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Labinaz, G., i M. Guay. "Hybrid Model". W Viability of Hybrid Systems, 45–88. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2521-8_3.

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Yao, Jun, i Zhao-Qin Huang. "Hybrid Fracture Model". W Fractured Vuggy Carbonate Reservoir Simulation, 189–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52842-6_5.

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Karer, Gorazd, i Igor Škrjanc. "Hybrid Fuzzy Model". W Predictive Approaches to Control of Complex Systems, 33–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33947-9_4.

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Yao, Jun, i Zhao-Qin Huang. "Hybrid Fracture Model". W Fractured Vuggy Carbonate Reservoir Simulation, 189–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55032-8_5.

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Campo, Raffaele, Pierfelice Rosato, Savino Santovito i Antonio Iazzi. "Hybrid Business Model". W Technology, Business and Sustainable Development, 85–101. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003293187-7.

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Liberadzki, Kamil, i Marcin Liberadzki. "Structural Model for Corporate Hybrid Valuation". W Hybrid Securities, 183–92. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1007/978-1-137-58971-2_17.

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Taha, Walid M., Abd-Elhamid M. Taha i Johan Thunberg. "Hybrid Systems". W Cyber-Physical Systems: A Model-Based Approach, 41–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36071-9_3.

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Seidman, Thomas I. "The residue of model reduction". W Hybrid Systems III, 201–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0020946.

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Doyen, Laurent, Goran Frehse, George J. Pappas i André Platzer. "Verification of Hybrid Systems". W Handbook of Model Checking, 1047–110. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-10575-8_30.

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Sanfelice, Ricardo G. "Hybrid Model Predictive Control". W Handbook of Model Predictive Control, 199–220. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77489-3_9.

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Streszczenia konferencji na temat "Hybrid model"

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Cremona, Fabio, Marten Lohstroh, David Broman, Edward A. Lee, Michael Masin i Stavros Tripakis. "Hybrid Co-simulation". W MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3242896.

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Shetty, R. T. N., P. M. Riccio i J. Quinqueton. "Hybrid Model for Knowledge Representation". W 2006 International Conference on Hybrid Information Technology. IEEE, 2006. http://dx.doi.org/10.1109/ichit.2006.253512.

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Walsh, Liam, Juergen Dingel i Karim Jahed. "A general architecture for client-agnostic hybrid model editors as a service". W MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3563131.

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McMurran, R., A. C. Rao i P. Jones. "Model based validation techniques for complex control systems". W IET Hybrid Vehicle Conference 2006. IEE, 2006. http://dx.doi.org/10.1049/cp:20060609.

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Yuan, Zhugang, i Junjian Wang. "Research on Dynamic Model of Preheater Based on RBF-ARX Model". W 2009 Ninth International Conference on Hybrid Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/his.2009.144.

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Rasoulian, Hamid, Wiley E. Thompson, Louis F. Kazda i Ramon Parra-Loera. "Multisensor data fusion model for multitarget tracking". W Hybrid Image and Signal Processing II, redaktorzy David P. Casasent i Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.21293.

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Chen, Ning. "Integration: Bridge Gap between Data Model and Process Model". W 2008 International Conference on Convergence and Hybrid Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/ichit.2008.227.

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Hong Liu i Wang Hui. "Hybrid traffic flow model". W 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594308.

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Panigrahi, Lipismita, Raghab Ranjan Panigrahi i Saroj Kumar Chandra. "Hybrid Image Captioning Model". W 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON). IEEE, 2023. http://dx.doi.org/10.1109/otcon56053.2023.10113957.

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Altwegri, Randah, Fatmah Alsaleh, Shrooq Alsenan i Samah Almutlaq. "Hybrid CRM Deployment Model". W 2015 International Conference on Cloud Computing (ICCC). IEEE, 2015. http://dx.doi.org/10.1109/cloudcomp.2015.7149642.

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Raporty organizacyjne na temat "Hybrid model"

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Baring-Gould, E. I. Hybrid2: The hybrid system simulation model, Version 1.0, user manual. Office of Scientific and Technical Information (OSTI), czerwiec 1996. http://dx.doi.org/10.2172/257411.

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Raychev, Nikolay. Hybrid system with fuzzy hierarchical evaluation model. Web of Open Science, czerwiec 2020. http://dx.doi.org/10.37686/nal.v1i1.40.

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Greenwood, Michael Scott, Sacit M. Cetiner i David W. Fugate. Nuclear Hybrid Energy System Model Stability Testing. Office of Scientific and Technical Information (OSTI), kwiecień 2017. http://dx.doi.org/10.2172/1354665.

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Subotic, Nikola S., John D. Gorman i Stephen Welby. Hybrid Template- and Model-Based ATR Formulation. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1998. http://dx.doi.org/10.21236/ada358575.

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Kantowitz, B. H. Biocybernetic Analysis of a Hybrid Workload Model. Fort Belvoir, VA: Defense Technical Information Center, maj 1985. http://dx.doi.org/10.21236/ada159033.

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Farsaie, A., J. J. Fuller i L. E. Elkins. A Hybrid Neural Model for Target Recognition. Fort Belvoir, VA: Defense Technical Information Center, październik 1991. http://dx.doi.org/10.21236/ada245053.

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Guler Yigitoglu, Askin, Thomas Harrison i Michael Scott Greenwood. Nuclear Hybrid Energy System Reliability Model Progress Report. Office of Scientific and Technical Information (OSTI), wrzesień 2017. http://dx.doi.org/10.2172/1615830.

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Edwards, Kacey L., Jayaram Veeramony i James M. Kaihatu. A Hybrid Model for Nearshore Nonlinear Wave Evolution. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2007. http://dx.doi.org/10.21236/ada470246.

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Subramanian, Devika. Hybrid Learning on the NRL Navigation Task; Fielding a New Hybrid Model of Human Learning. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2003. http://dx.doi.org/10.21236/ada419435.

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Zhihong Lin i Liu Chen. A Fluid-kinetic Hybrid Electron Model for Electromagnetic Simulations. Office of Scientific and Technical Information (OSTI), styczeń 2001. http://dx.doi.org/10.2172/775535.

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