Academic literature on the topic 'Deep'
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Journal articles on the topic "Deep"
Takahashi, Satoshi. "Deep Color." Journal of The Institute of Image Information and Television Engineers 65, no. 9 (2011): 1308–11. http://dx.doi.org/10.3169/itej.65.1308.
Full textWang, Yipu, and Stuart Perrin. "Deep Chinese Teaching and Learning Model Based on Deep Learning." International Journal of Languages, Literature and Linguistics 10, no. 1 (2024): 32–35. http://dx.doi.org/10.18178/ijlll.2024.10.1.479.
Full textYoshida, Koichiro. "Deep-seated mycosis." Medical Mycology Journal 55, no. 2 (2014): J55—J56. http://dx.doi.org/10.3314/mmj.55.j55.
Full textHonda, Hitoshi, Brian S Heist, and Ken Kikuchi. "Deep-seated mycosis." Medical Mycology Journal 56, no. 3 (2015): E21—E22. http://dx.doi.org/10.3314/mmj.56.e21.
Full textWatanabe, Akira. "Deep-seated mycosis." Medical Mycology Journal 56, no. 1 (2015): J1—J2. http://dx.doi.org/10.3314/mmj.56.j1.
Full textHonda, Hitoshi, Brian S Heist, and Ken Kikuchi. "Deep-seated mycosis." Medical Mycology Journal 56, no. 3 (2015): J105—J106. http://dx.doi.org/10.3314/mmj.56.j105.
Full textYaguchi, Takashi. "Deep-seated mycosis." Medical Mycology Journal 56, no. 4 (2015): J137—J138. http://dx.doi.org/10.3314/mmj.56.j137.
Full textMikamo, Hiroshige. "Deep-seated mycosis." Medical Mycology Journal 57, no. 1 (2016): J33—J34. http://dx.doi.org/10.3314/mmj.57.j33.
Full textSingh P, Barath Kumar, and Ravi Kumar Chittoria. "Deep Vein Thrombosis." Indian Journal of Medical and Health Sciences 9, no. 2 (December 15, 2022): 89–96. http://dx.doi.org/10.21088/ijmhs.2347.9981.9222.9.
Full textRosenthal, Brock J. "How Deep Is Deep?" Marine Technology Society Journal 43, no. 5 (December 1, 2009): 8. http://dx.doi.org/10.4031/mtsj.43.5.2.
Full textDissertations / Theses on the topic "Deep"
Peralta, Yaddyra. "Deep Waters." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/622.
Full textStraube, Nicolas. "Deep divergence." Diss., Ludwig-Maximilians-Universität München, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-138186.
Full textJoseph, Caberbe. "DEEP WITHIN." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2794.
Full textM.F.A.
Department of Art
Arts and Humanities
Studio Art and the Computer MFA
Krotevych, K. "Deep web." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40487.
Full textWood, Rebecca. "Deep Surface." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427899904.
Full textPeterson, Grant. "Deep time /." abstract, 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1455664.
Full text"May, 2008." Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2009]. 1 microfilm reel ; 35 mm. Online version available on the World Wide Web.
Traxl, Dominik. "Deep graphs." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17785.
Full textNetwork theory has proven to be a powerful instrument in the representation of complex systems. Yet, even in its latest and most general form (i.e., multilayer networks), it is still lacking essential qualities to serve as a general data analysis framework. These include, most importantly, an explicit association of information with the nodes and edges of a network, and a conclusive representation of groups of nodes and their respective interrelations on different scales. The implementation of these qualities into a generalized framework is the primary contribution of this dissertation. By doing so, I show how my framework - deep graphs - is capable of acting as a go-between, joining a unified and generalized network representation of systems with the tools and methods developed in statistics and machine learning. A software package accompanies this dissertation, see https://github.com/deepgraph/deepgraph. A number of applications of my framework are demonstrated. I construct a rainfall deep graph and conduct an analysis of spatio-temporal extreme rainfall clusters. Based on the constructed deep graph, I provide statistical evidence that the size distribution of these clusters is best approximated by an exponentially truncated powerlaw. By means of a generative storm-track model, I argue that the exponential truncation of the observed distribution could be caused by the presence of land masses. Then, I combine two high-resolution satellite products to identify spatio-temporal clusters of fire-affected areas in the Brazilian Amazon and characterize their land use specific burning conditions. Finally, I investigate the effects of white noise and global coupling strength on the maximum degree of synchronization for a variety of oscillator models coupled according to a broad spectrum of network topologies. I find a general sigmoidal scaling and validate it with a suitable regression model.
Jönsson, Jennifer Annie Patricia. "Deep Impression." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-22025.
Full textLynch, Cassie A. "Korangan: Deep Time and Deep Transformation in Noongar Country." Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/81989.
Full textBackstad, Sebastian. "Federated Averaging Deep Q-NetworkA Distributed Deep Reinforcement Learning Algorithm." Thesis, Umeå universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149637.
Full textBooks on the topic "Deep"
ill, Zemke Deborah, ed. The deep deep puddle. New York: Dial Books for Young Readers, 2013.
Find full textHill, Laban Carrick. Deep powder, deep trouble. New York: Hyperion Paperbacks for Children, 1998.
Find full textBook chapters on the topic "Deep"
Webb, Stephen. "Deep sea, deep snow … deep space." In New Eyes on the Universe, 159–78. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2194-8_7.
Full textO’Dea Bradley, Daniel. "Deep Calls to Deep." In Anacarnation and Returning to the Lived Body with Richard Kearney, 86–106. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003285649-8.
Full textBährle-Rapp, Marina. "deep." In Springer Lexikon Kosmetik und Körperpflege, 143. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_2697.
Full textGooch, Jan W. "Deep." In Encyclopedic Dictionary of Polymers, 198. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_3356.
Full textMatthews, D. H. "Deep Reflections and Deep Drilling." In Exploration of the Deep Continental Crust, 73–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-45616-9_10.
Full textTindale, Christopher W. "Deep Diversity and Deep Disagreement." In The Anthropology of Argument, 158–73. New York, NY : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003107637-9.
Full textMaher, Sean. "Deep Fakes." In Deep Fakes, 1–22. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003173397-1.
Full textStern, Daniel, Andrew Connolly, Peter Eisenhardt, Richard Elston, Brad Holden, Piero Rosati, S. Adam Stanford, Hyron Spinrad, Paolo Tozzi, and Katherine Wu. "First Results from the SPICES Survey." In Deep Fields, 76–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/10854354_14.
Full textKellermann, K. I., E. B. Fomalont, P. Rosati, and P. Shaver. "Radio Observations of the Chandra Deep Field South." In Deep Fields, 139–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/10854354_26.
Full textRosati, Piero, Adam Stanford, Chris Lidman, Vincenzo Mainieri, and Peter Eisenhardt. "A Deep Look at the Most Distant X-Ray Clusters." In Deep Fields, 179–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/10854354_50.
Full textConference papers on the topic "Deep"
Wijethilake, Navodini, Mithunjha Anandakumar, Cheng Zheng, Peter T. C. So, Murat Yildirim, and Dushan N. Wadduwage. "DEEP2: Deep Learning Powered De-scattering with Excitation Patterning (DEEP)." In Optics and the Brain. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/brain.2023.bw3b.3.
Full text"DEEP-ML 2019 Program Committee." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00007.
Full text"DEEP-ML 2019 Organizing Committee." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00006.
Full text"Keynote Abstracts." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00008.
Full text"[Title page i]." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00001.
Full text"[Title page iii]." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00002.
Full text"[Copyright notice]." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00003.
Full text"Table of contents." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00004.
Full text"Message from the DEEP-ML 2019 Chairs." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00005.
Full textKaskavalci, Halil Can, and Sezer Goren. "A Deep Learning Based Distributed Smart Surveillance Architecture using Edge and Cloud Computing." In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML). IEEE, 2019. http://dx.doi.org/10.1109/deep-ml.2019.00009.
Full textReports on the topic "Deep"
Eriksen, Charles C. Deep Glider Development. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada629140.
Full textLyle A. Johnson Jr. FORT UNION DEEP. Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/822148.
Full textLyle A. Johnson Jr. FORT UNION DEEP. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/822149.
Full textEriksen, Charles C. Deep Glider Development. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada619126.
Full textTaylor, A. E., M. M. Burgess, A. S. Judge, and V. S. Allen. Deep ground temperatures. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/211920.
Full textDraelos, Timothy John, Nadine E. Miner, Christopher C. Lamb, Craig Michael Vineyard, Kristofor David Carlson, Conrad D. James, and James Bradley Aimone. Neurogenesis Deep Learning: Extending deep networks to accommodate new classes. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1505351.
Full textChu, P. C. Geophysics of Deep Convection and Deep Water Formation in Oceans. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada480128.
Full textPillsbury, Dale. Expendable Deep Ocean Mooring. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada292161.
Full textBrunish, Wendee M. Deep Dive Quad Charts. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1050478.
Full textHeaney, Kevin. Deep Water Ocean Acoustics. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ada615119.
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