Literatura académica sobre el tema "Multisensory method"
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Artículos de revistas sobre el tema "Multisensory method"
Lin, Tsun-Kuo. "PCA/SVM-Based Method for Pattern Detection in a Multisensor System". Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6486345.
Texto completoSemenova, V. A. y E. M. Petrenko. "Identification and Comparative Analysis of Alkaloids by Inversion Voltammetry Method". Herald of the Bauman Moscow State Technical University. Series Natural Sciences, n.º 6 (87) (diciembre de 2019): 113–21. http://dx.doi.org/10.18698/1812-3368-2019-6-113-121.
Texto completoSyahputri, Diani. "The Effect of Multisensory Teaching Method on The Students’ Reading Achievement". Budapest International Research and Critics in Linguistics and Education (BirLE) Journal 2, n.º 1 (26 de febrero de 2019): 124–31. http://dx.doi.org/10.33258/birle.v2i1.192.
Texto completoKrauce, Antra. "THE USE OF THE MULTISENSORY METHOD NUMICON IN LEARNING BASIC MATHEMATICAL SKILLS BY STUDENTS WITH MODERATE MENTAL DISABILITIES". Education Reform: Education Content Research and Implementation Problems 2 (31 de diciembre de 2019): 72. http://dx.doi.org/10.17770/er2019.2.4232.
Texto completoAl Adzillina, Nailan y Henny Uswatun Hasanah. "The Impact of Multisensory Method on Students’ Memorizing Vocabulary at Halimah Kindergarten Prenduan Sumenep". PANYONARA: Journal of English Education 3, n.º 2 (30 de septiembre de 2021): 155–66. http://dx.doi.org/10.19105/panyonara.v3i2.4317.
Texto completoKarimi Thani, Parviz, Nasim Koohzad y Farideh Ahmadi. "Comparison of the Effectiveness of Fernald’s Sensory Method and Educational Games on Writing Disorder in Elementary School Students". Advances in Bioscience and Clinical Medicine 10, n.º 1 (31 de enero de 2022): 1–6. http://dx.doi.org/10.7575/aiac.abcmed.v.10n.1p.1.
Texto completoDeroy, Ophelia, Yi-Chuan Chen y Charles Spence. "Multisensory constraints on awareness". Philosophical Transactions of the Royal Society B: Biological Sciences 369, n.º 1641 (5 de mayo de 2014): 20130207. http://dx.doi.org/10.1098/rstb.2013.0207.
Texto completoBasam, Fajri y Sulfasyah Sulfasyah. "METODE PEMBELAJARAN MULTISENSORI VAKT SEBAGAI UPAYA MENINGKATKAN KEMAMPUAN MEMBACA LANCAR SISWA KELAS II". JRPD (Jurnal Riset Pendidikan Dasar) 1, n.º 1 (6 de abril de 2018): 18–24. http://dx.doi.org/10.26618/jrpd.v1i1.1235.
Texto completoZulhendri, Zulhendri y Jhoni Warmansyah. "The effectiveness of the Multisensory Method on Early Reading Ability in 6-7 Years Old Children". Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini 5, n.º 1 (4 de junio de 2020): 257. http://dx.doi.org/10.31004/obsesi.v5i1.568.
Texto completoUtepov, Ye B. "ASSEMBLING A MULTISENSORY DEVICE FOR MONITORING AND ASSESSING CONCRETE CURING CONDITIONS". Eurasian Physical Technical Journal 19, n.º 1 (39) (28 de marzo de 2022): 90–98. http://dx.doi.org/10.31489/2022no1/90-98.
Texto completoTesis sobre el tema "Multisensory method"
Dalla, Libera Sara <1985>. "Dyslexia and learning English as a foreign language: the phonological/orthographic teaching through the multisensory method". Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/7457.
Texto completoPrajitno, Prawito. "Neuro-fuzzy methods in multisensor data fusion". Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251258.
Texto completoPawlak, Robert James. "Multisensor track initiation method that addresses the missing measurement problem". Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38631.
Texto completoKlaus, Ferdinand. "Einführung in Techniken und Methoden der Multisensor-Datenfusion". [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971151989.
Texto completoBorkar, Milind. "A distributed Monte Carlo method for initializing state vector distributions in heterogeneous smart sensor networks". Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22680.
Texto completoCrow, Mason W. "Multiple sensor credit apportionment". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FCrow.pdf.
Texto completoMaurer, Andreas. "Methods for Multisensory Detection of Light Phenomena on the Moon as a Payload Concept for a Nanosatellite Mission". Thesis, Luleå tekniska universitet, Rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80785.
Texto completoCazenave, Quitterie. "Development and evaluation of multisensor methods for EarthCare mission based on A-Train and airborne measurements". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLV020/document.
Texto completoThe impact of ice clouds on the water cycle and radiative budget is still uncertain due to the complexity of cloud processes that makes it difficult to acquire adequate observations of ice cloud properties and parameterize them into General Circulation Models. Passive and active remote sensing instruments, radiometers, radars and lidars, are commonly used to study ice clouds. Inferring cloud microphysical properties (extinction, ice water content, effective radius, ...) can be done from one instrument only, or from the synergy of several. The interest of using instrumental synergies to retrieve cloud properties is that it can reduce the uncertainties due to the shortcomings of the different instruments taken separately. The A-Train constellation of satellites has considerably improved our knowledge of clouds. Since 2006, the 532nm backscattering lidar CALIOP on board the satellite CALIPSO and the 94GHz cloud radar CPR on board the satellite CloudSat have acquired cloud vertical profiles globally and many lidar-radar synergetic methods have been adapted to CloudSat and CALIPSO data. In 2021 will be launched a new satellite, EarthCARE, boarding state of the art remote sensing instrumentation, in particular ATLID, a High Spectral Resolution Lidar (HSRL) at 355nm and a Doppler cloud radar at 94 GHz. The main mission of this satellite is to quantify interactions between clouds, aerosols and the Earth's radiation budget in order to improve weather prediction and climate models. Thanks to its advanced instrumentation mounted on a single platform, this new mission is expected to provide unprecedented observations of clouds from space. However, to do so, the synergistic algorithms that were developed for A-Train measurements have to be adapted to this new instrumental configuration. During my PhD, I focused on the Varcloud algorithm that was developed in 2007 by Delanoë and Hogan, based on a variational technique. The first part of the work consisted in adapting some parameters of the microphysical model of the algorithm to recent studies of a large dataset of in-situ measurements. In particular, the questions of a parameterization of the lidar extinction-to-backscatter ratio and the choice of the mass-size relationship for ice crystals were addressed. The second part of my work consisted in adapting the Varcloud retrieval algorithm to airborne platforms. Airborne platforms are ideal to prepare and validate space missions, allowing for direct underpasses of spaceborne instruments. Moreover, German and French aircraft, respectively HALO and French Falcon 20 have very complementary payloads and are perfectly designed for the preparation, the calibration and the validation of EarthCare. Both aircraft board a high spectral resolution lidar (355 nm on the French Falcon and 532 nm on the HALO) and a Doppler radar at 36 GHz (HALO) and 95 GHz (Falcon). In fall 2016 a field campaign related to the NAWDEX project took place in Iceland, Keflavik with both aircraft involved. The measurements collected during this campaign provide an interesting dataset to characterize cloud microphysics and dynamics in the North Atlantic, which are of high interest regarding the Cloudsat-CALIPSO and EarthCARE missions. In addition, a series of common legs with the same cloud scene observed by both platforms were performed, providing data to study the influence of the instrumental configuration on the retrieved ice cloud properties
Paris, Claudia. "Novel Methods based on the Fusion of Multisensor Remote Sensing Data for Accurate Forest Parameter Estimation". Doctoral thesis, Università degli studi di Trento, 2016. https://hdl.handle.net/11572/367897.
Texto completoWatanabe, Emerson Ferrell. "A Quasi-Experimental Study of the Effect of Experience Staging Techniques on Engagement". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7555.
Texto completoLibros sobre el tema "Multisensory method"
Schupack, Helaine. Reading, writing and spelling: The multisensory structured language approach. 2a ed. Baltimore, Md: International Dyslexia Association, 2001.
Buscar texto completo1958-, Franco Lynda, ed. Language first!: A multisensory program for English language development : Travel. Emeryville, CA: LeapFrog Schoolhouse, 2002.
Buscar texto completoDuBard, Etoile. Teaching language-deficient children: Theory and application of the association method for multisensory teaching. Cambridge, Mass: Educators Pub. Service, 1994.
Buscar texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. Remote studies of combustion and explosion processes based on optoelectronic methods. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_62876066a124d8.04785158.
Texto completoB, Sridhar y Ames Research Center, eds. A parallel implementation of a multisensor feature-based range-estimation method. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.
Buscar texto completoB, Sridhar y Ames Research Center, eds. A parallel implementation of a multisensor feature-based range-estimation method. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.
Buscar texto completoNetworked multisensor decision and estimation fusion: Based on advanced mathematical methods. Boca Raton, FL: Taylor & Francis, 2012.
Buscar texto completo1954-, Docampo D., Figueiras-Vidal A. R y Pérez-González F. 1967-, eds. Intelligent methods in signal processing and communications. Boston: Birkhäuser, 1997.
Buscar texto completoStone, Celia. Reading Success 4: A Multisensory Reading Intervention Program. LDA, 2001.
Buscar texto completoNorthrup, Peggy S. The Literacy Link: A Multisensory Approach to Sound-Symbol Connections. Thinking Publications, 2002.
Buscar texto completoCapítulos de libros sobre el tema "Multisensory method"
Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "Investigation of the instabilities arising from the hydrogen and hydrocarbon flames propagation by the method of high-speed filming". En Remote studies of combustion and explosion processes based on optoelectronic methods, 46–102. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b8c340.88097326.
Texto completoGanis, Giorgio y Haline E. Schendan. "Cognitive Neuroscience of Mental Imagery: Methods and Paradigms". En Multisensory Imagery, 283–98. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5879-1_15.
Texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "Methods and means of remote sensing in the optical range". En Remote studies of combustion and explosion processes based on optoelectronic methods, 18–28. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b31e97.40925202.
Texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "Optoelectronic devices and methods for studying combustion and explosion processes". En Remote studies of combustion and explosion processes based on optoelectronic methods, 29–45. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b5f307.71425279.
Texto completoBloch, I. "Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion". En Multisensor Fusion, 267–93. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_11.
Texto completoHolena, M. "Statistical, Logic Based, and Neural Network Based Methods for Mining Rules from Data". En Multisensor Fusion, 511–32. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_23.
Texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "The use of high-speed optical multidimensional technique to determine the characteristics of ignition and combustion of 40% H2 - air mix in the presence of platinum metal". En Remote studies of combustion and explosion processes based on optoelectronic methods, 126–51. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066bef2a8.05945792.
Texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "Study of the combustion of hydrogen-air and hydrogen-hydrocarbon (C1- C6) -air mixtures over the surface of palladium metal with the combined use of a hyperspectral sensor and high-speed color filming". En Remote studies of combustion and explosion processes based on optoelectronic methods, 202–36. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c51665.20097229.
Texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "Detecting the regularities of propagation of an unstable flame front using optical 4D spectroscopy and color high-speed filming". En Remote studies of combustion and explosion processes based on optoelectronic methods, 103–25. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066bbdb05.08303225.
Texto completoRubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov y Kirill Troshin. "Determination of the features of combustion of nanopowders and their compacted samples by the methods of visible and infrared filming". En Remote studies of combustion and explosion processes based on optoelectronic methods, 237–61. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066c82414.05714648.
Texto completoActas de conferencias sobre el tema "Multisensory method"
Oktafianto, Kurnia, Siti Masitoh y Hendratno Hendratno. "The Effect of Multisensory Method on Children Language Development". En Proceedings of the 2nd International Conference on Education Innovation (ICEI 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icei-18.2018.61.
Texto completoShtun, Sergei, Alexander Senkov, Oleg Abramenko, Mickhail Rakitin, Vener Nagimov, Alexander Trusov y Alexander Frolov. "Sustained Annulus Pressure Diagnostics in Offshore Wells by Multisensory Spectral Acoustics". En SPE Russian Petroleum Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/206629-ms.
Texto completoLi, Hongliang, Zhiwei Zhong, Weiwei Kong y Daibing Zhang. "A fast calibration method for autonomous landing of UAV with ground-based multisensory fusion system". En 2015 IEEE International Conference on Information and Automation (ICIA). IEEE, 2015. http://dx.doi.org/10.1109/icinfa.2015.7279815.
Texto completoBordegoni, Monica, Marina Carulli y Elena Spadoni. "Multisensory VR for Delivering Training Content to Machinery Operators". En ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69974.
Texto completoJia, Dawei, Asim Bhatti y Saeid Nahavandi. "User-Centered Design and Evaluation of an Interactive Visual-Haptic-Auditory Interface: A User Study on Assembly". En ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5562.
Texto completoOsinski, Dominik, Patrycja Bizon, Helene Midtfjord, Michał Wierzchon y Dag Roar Hjelme. "Designing Auditory Color Space for Color Sonification Systems". En ICAD 2019: The 25th International Conference on Auditory Display. Newcastle upon Tyne, United Kingdom: Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.076.
Texto completoAlirezaee, Parisa, Roger Girgis, TaeYong Kim, Joseph J. Schlesinger y Jeremy R. Cooperstock. "Did You Feel That? Developing Novel Multimodal Alarms for High Consequence Clinical Environments". En The 23rd International Conference on Auditory Display. Arlington, Virginia: The International Community for Auditory Display, 2017. http://dx.doi.org/10.21785/icad2017.066.
Texto completoWei Xiong, Jing-Wei Zhang, You He y Zhen-Yu Song. "A New Multisensor Particle Filter Method". En Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527017.
Texto completoRapo, Mark, Chong Whang y Philemon Chan. "Blast Event Recognition Method for Multisensor Data". En ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88936.
Texto completoHenderson, Thomas C., Gwen Knight y Edward Grant. "Multisensor methods to estimate thermal diffusivity". En 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012). IEEE, 2012. http://dx.doi.org/10.1109/mfi.2012.6343037.
Texto completoInformes sobre el tema "Multisensory method"
Butler, Dwain K., Ernesto R. Cespedes, Cary B. Cox y Paul J. Wolfe. Multisensor Methods for Buried Unexploded Ordnance Deteciton, Discrimination, and Identification. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1998. http://dx.doi.org/10.21236/ada354124.
Texto completoPawlak, Robert J. y Ron A. Stapleton. Nonparametric Multisensor Track Initiation Method for Nonuniform Nonstationary Environments Part II: A Comparison of M/N and ANMSTI Track Initiation Techniques Applied to the Wallops Island Multisensor Integration Experiment. Fort Belvoir, VA: Defense Technical Information Center, julio de 1995. http://dx.doi.org/10.21236/ada309319.
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