Literatura académica sobre el tema "Computational capabilities"
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Artículos de revistas sobre el tema "Computational capabilities"
Lin, Hai-Qing. "Boosting computational capabilities". Nature Materials 15, n.º 7 (22 de junio de 2016): 693–94. http://dx.doi.org/10.1038/nmat4675.
Texto completoWeihe, S. y B. Kröplin. "Computational mechanics: capabilities and restrictions". Computational Materials Science 16, n.º 1-4 (diciembre de 1999): 10–16. http://dx.doi.org/10.1016/s0927-0256(99)00040-3.
Texto completoNeirotti, J. P. y L. Franco. "Computational capabilities of multilayer committee machines". Journal of Physics A: Mathematical and Theoretical 43, n.º 44 (18 de octubre de 2010): 445103. http://dx.doi.org/10.1088/1751-8113/43/44/445103.
Texto completoScarselli, F., M. Gori, Ah Chung Tsoi, M. Hagenbuchner y G. Monfardini. "Computational Capabilities of Graph Neural Networks". IEEE Transactions on Neural Networks 20, n.º 1 (enero de 2009): 81–102. http://dx.doi.org/10.1109/tnn.2008.2005141.
Texto completoCABESSA, JÉRÉMIE y HAVA T. SIEGELMANN. "THE SUPER-TURING COMPUTATIONAL POWER OF PLASTIC RECURRENT NEURAL NETWORKS". International Journal of Neural Systems 24, n.º 08 (20 de noviembre de 2014): 1450029. http://dx.doi.org/10.1142/s0129065714500294.
Texto completoSiegelmann, H. T., B. G. Horne y C. L. Giles. "Computational capabilities of recurrent NARX neural networks". IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27, n.º 2 (abril de 1997): 208–15. http://dx.doi.org/10.1109/3477.558801.
Texto completoPriel, Avner, Marcelo Blatt, Tal Grossmann, Eytan Domany y Ido Kanter. "Computational capabilities of restricted two-layered perceptrons". Physical Review E 50, n.º 1 (1 de julio de 1994): 577–95. http://dx.doi.org/10.1103/physreve.50.577.
Texto completoHuang, Xin, Haotian Yin, Xin Zhang, Di Zhang, Sheng Chai, Bin Xing, Jie Zhang, Xiaoling Yu, Yu Zhou y Haixia Zheng. "Efficient and Secure Pairing Protocol for Devices with Unbalanced Computational Capabilities". Mathematics 10, n.º 14 (13 de julio de 2022): 2447. http://dx.doi.org/10.3390/math10142447.
Texto completoEscribano, Jesús, Francisco Botana y Miguel A. Abánades. "Adding remote computational capabilities to Dynamic Geometry Systems". Mathematics and Computers in Simulation 80, n.º 6 (febrero de 2010): 1177–84. http://dx.doi.org/10.1016/j.matcom.2008.04.019.
Texto completoChourasiya, Neelesh L. y Neeraj Mohan. "Computational Offloading in Android Devices Using Cloud Computing Capabilities". International Journal on Communications Antenna and Propagation (IRECAP) 8, n.º 1 (28 de febrero de 2018): 9. http://dx.doi.org/10.15866/irecap.v7i6.13349.
Texto completoTesis sobre el tema "Computational capabilities"
Kolen, John F. "Exploring the computational capabilities of recurrent neural networks /". The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487853913100192.
Texto completoNeedham, Perri. "Enhancing the capabilities of computational chemistry using GPU technology". Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/enhancing-the-capabilities-of-computational-chemistry-using-gpu-technology(0988c19e-cc1a-443f-b82f-0c5fe0422d0b).html.
Texto completoMurabito, Francesca. "Deeply Incorporating Human Capabilities into Machine Learning Models for Fine-Grained Visual Categorization". Doctoral thesis, Università di Catania, 2019. http://hdl.handle.net/10761/4144.
Texto completoLindberg, Aron. "The Origin, Evolution, and Variation of Routine Structures in Open Source Software Development: Three Mixed Computational-Qualitative Studies". Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1436527665.
Texto completoLundqvist, Viktor. "A smoothed particle hydrodynamic simulation utilizing the parallel processing capabilites of the GPUs". Thesis, Linköping University, Department of Science and Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-21761.
Texto completoSimulating fluid behavior has proven to be a demanding challenge which requires complex computational models and highly efficient data structures. Smoothed Particle Hydrodynamics (SPH) is a particle based computational model used to simulate fluid behavior that has been found capable of producing convincing results. However, the SPH algorithm is computational heavy which makes it cumbersome to work with.
This master thesis describes how the SPH algorithm can be accelerated by utilizing the GPU’s computational resources. It describes a model for how to distribute the work load on the GPU and presents a suitable data structure. In addition, it proposes a method to represent and handle moving objects in the fluids surroundings. Finally, the performance gain due to the GPU is evaluated by comparing processing times with an identical implementation running solely on the CPU.
Shedimbi, Prudhvi Rao. "Optimizing Request Routing in Heterogeneous Web Computation Environments". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1468512510.
Texto completoGoodwin, Jon Willie III. "Arithmetical computation and associated neuropsychological capabilities in children, adolescents, and young adults with nonsyndromic orofacial clefts". Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5761.
Texto completoOlsson, Joakim. "A Critique of the Learning Brain". Thesis, Uppsala universitet, Avdelningen för teoretisk filosofi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432105.
Texto completoMarshall, Robert. "Improving the efficiency and capabilities of document structuring". 2007. http://repository.unimelb.edu.au/10187/1700.
Texto completo"Universal computation and other capabilities of hybrid and continuous dynamical systems". Massachusetts Institute of Technology, Laboratory for Information and Decision Systems], 1993. http://hdl.handle.net/1721.1/3347.
Texto completoCaption title.
Includes bibliographical references (p. 25-27).
Supported by the Army Research Office and the Center for Intelligent Control Systems. DAAL03-92-G-0164 DAAL03-92-G-0115
Libros sobre el tema "Computational capabilities"
Lothar, Wolf, Krawiec John y National Institute of Standards and Technology (U.S.), eds. Evaluation of the HDR fire test data and accompanying computational activities with conclusion from present code capabilities. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.
Buscar texto completoCenter, Langley Research y United States. National Aeronautics and Space Administration., eds. Numerical stability and control analysis towards falling-leaf prediction capabilities of splitflow for two generic high-performance aircraft models. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.
Buscar texto completoCurrent Capabilities and Future Directions in Computational Fluid Dynamics. Washington, D.C.: National Academies Press, 1986. http://dx.doi.org/10.17226/18928.
Texto completoQuartara, Andrea y Djordje Stanojevic. Computational and Manufacturing Strategies: Experimental Expressions of Wood Capabilities. Springer, 2018.
Buscar texto completoNational Aeronautics and Space Administration (NASA) Staff. On the Computational Capabilities of Physical Systems. Part 2; Relationship with Conventional Computer Science. Independently Published, 2018.
Buscar texto completoBandyopadhyay, Avimanyu. Hands-On GPU Computing with Python: Explore the Capabilities of GPUs for Solving High Performance Computational Problems. Packt Publishing, Limited, 2019.
Buscar texto completoButz, Martin V. y Esther F. Kutter. Cognitive Development and Evolution. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0004.
Texto completoService Oriented Infrastructures and Cloud Service Platforms for the Enterprise: A selection of common capabilities validated in real-life business trials by the BEinGRID consortium. Springer, 2009.
Buscar texto completoButz, Martin V. y Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.
Texto completoSucci, Sauro. Flows at Moderate Reynolds Numbers. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0018.
Texto completoCapítulos de libros sobre el tema "Computational capabilities"
Mandal, Sujoy, Koushik Samanta, Debipriya Dutta y Anindya Bose. "IRNSS capabilities". En Computational Science and Engineering, 147–52. CRC Press/Balkema, P.O. Box 11320, 2301 EH Leiden, The Netherlands, e-mail: Pub.NL@taylorandfrancis.com, www.crcpress.com – www.taylorandfrancis.com: CRC Press, 2016. http://dx.doi.org/10.1201/9781315375021-29.
Texto completoPreciado, Víctor M. "Improving Cellular Nonlinear Network Computational Capabilities". En Advances in Artificial Intelligence — IBERAMIA 2002, 470–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36131-6_48.
Texto completoŠíma, Jiří. "The Computational Capabilities of Neural Networks". En Artificial Neural Nets and Genetic Algorithms, 22–26. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_4.
Texto completoMaknickienė, Nijolė y Algirdas Maknickas. "Prediction Capabilities of Evolino RNN Ensembles". En Studies in Computational Intelligence, 473–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23392-5_26.
Texto completoAlfaro-García, Víctor G., Anna M. Gil-Lafuente y Gerardo G. Alfaro Calderón. "Innovation Capabilities Using Fuzzy Logic Systems". En Applied Mathematics and Computational Intelligence, 264–76. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75792-6_20.
Texto completoFernandez, Rolando, Erin Zaroukian, James D. Humann, Brandon Perelman, Michael R. Dorothy, Sebastian S. Rodriguez y Derrik E. Asher. "Emergent Heterogeneous Strategies from Homogeneous Capabilities in Multi-Agent Systems". En Transactions on Computational Science and Computational Intelligence, 491–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_37.
Texto completoIglesias, A. y R. Ipanaqué. "Extending Maple Capabilities for Solving and Displaying Inequalities". En Computational Science – ICCS 2006, 383–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758525_52.
Texto completoFields, Chris, Mark DeYong y Randall Findley. "Computational Capabilities of Biologically-Realistic Analog Processing Elements". En VLSI for Artificial Intelligence and Neural Networks, 175–84. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3752-6_17.
Texto completoRodríguez, Alejandro, Enrique Jimenez, Mateusz Radzimski, Juan Miguel Gómez, Giner Alor, Rubén Posada-Gomez y Jose E. Labra Gayo. "Applying Caching Capabilities to Inference Applications Based on Semantic Web". En Studies in Computational Intelligence, 27–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03958-4_3.
Texto completoKhekare, Ganesh, Lokesh Kumar Bramhane, Chetan Dhule, Rahul Agrawal y Anil V. Turukmane. "Testing and Analysis of Predictive Capabilities of Machine Learning Algorithms". En Studies in Computational Intelligence, 419–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99079-4_16.
Texto completoActas de conferencias sobre el tema "Computational capabilities"
Frison, Gianluca y John Bagterp Jorgensen. "MPC related computational capabilities of ARMv7A processors". En 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7331062.
Texto completoZou, Mengsong, Ali Reza Zamani, Javier Diaz-Montes, Ioan Petri, Omer Rana y Manish Parashar. "Leveraging In-Transit Computational Capabilities in Federated Ecosystems". En 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE). IEEE, 2016. http://dx.doi.org/10.1109/sose.2016.15.
Texto completoPinkevich, Vasiliy. "HARDWARE COMPUTATIONAL UNITS DESIGN WITH COMBINED DEBUG CAPABILITIES". En 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/21/s07.011.
Texto completoRitter y Schulten. "Kohonen's self-organizing maps: exploring their computational capabilities". En Proceedings of 1993 IEEE International Conference on Neural Networks (ICNN '93). IEEE, 1988. http://dx.doi.org/10.1109/icnn.1988.23838.
Texto completoChaudhari, Narendra S., Yew Soon Ong y Veena Trivedi. "Computational Capabilities of Soft-Computing Frameworks: An Overview". En 2006 9th International Conference on Control, Automation, Robotics and Vision. IEEE, 2006. http://dx.doi.org/10.1109/icarcv.2006.345433.
Texto completoJackson, George W. y Shawon S. M. Rahman. "Security Governance, Management and Strategic Alignment via Capabilities". En 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.8.
Texto completoGladkikh, Anatoliy A., Dmitriy V. Mishin, Nikolay Y. Chilikhin y Roman Z. Ibragimov. "Methods of coherent networks matching with codecs computational capabilities". En optical-technologies-in-telecommunications-2018, editado por Anton V. Bourdine, Vladimir A. Burdin, Oleg G. Morozov, Albert H. Sultanov y Vladimir A. Andreev. SPIE, 2019. http://dx.doi.org/10.1117/12.2526538.
Texto completoMunipalli, Ramakanth y Vijaya Shankar. "Development of computational capabilities in real gas MHD simulations". En 39th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-198.
Texto completoGrange, Camille y Izak Benbasat. "Information Technology Capabilities for Digital Social Networks". En 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.113.
Texto completoHebbar, Akshay. "Augmented intelligence: Enhancing human capabilities". En 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2017. http://dx.doi.org/10.1109/icrcicn.2017.8234515.
Texto completoInformes sobre el tema "Computational capabilities"
Sengupta, Debasis, Shaun Kwak, Alex Vasenkov, Yun Kyung Shin y Adri van Duin. Computational Capabilities for Predictions of Interactions at the Grain Boundary of Refractory Alloys. Office of Scientific and Technical Information (OSTI), diciembre de 2014. http://dx.doi.org/10.2172/1170170.
Texto completoSengupta, Debasis, Shaun Kwak, Alex Vasenkov, Yun Kyung Shin y Adri van Duin. Computational Capabilities for Predictions of Interactions at the Grain Boundary of Refractory Alloys. Office of Scientific and Technical Information (OSTI), diciembre de 2014. http://dx.doi.org/10.2172/1170210.
Texto completoBarney, B. y J. Shuler. Purple Computational Environment With Mappings to ACE Requirements for the General Availability User Environment Capabilities. Office of Scientific and Technical Information (OSTI), agosto de 2006. http://dx.doi.org/10.2172/900098.
Texto completoClark, Andrew, David Luxat, Michael Higgins y Mariah Smith. Survey and Assessment of Computational Capabilities for Advanced (Non-LWR) Reactor Mechanistic Source Term Analysis. Office of Scientific and Technical Information (OSTI), marzo de 2021. http://dx.doi.org/10.2172/1772327.
Texto completoKung, Steven y Robert Rapp. Development of Computational Capabilities to Predict the Corrosion Wastage of Boiler Tubes in Advanced Combustion Systems. Office of Scientific and Technical Information (OSTI), agosto de 2014. http://dx.doi.org/10.2172/1165184.
Texto completoKothe, Douglas B., Kenneth J. Roche y Ricky A. Kendall. FY 2009 Annual Report of Joule Software Metric SC GG 3.1/2.5.2, Improve Computational Science Capabilities. Office of Scientific and Technical Information (OSTI), enero de 2010. http://dx.doi.org/10.2172/977116.
Texto completoRobert E. Spall, Barton Smith y Thomas Hauser. validation and Enhancement of Computational Fluid Dynamics and Heat Transfer Predictive Capabilities for Generation IV Reactor Systems. Office of Scientific and Technical Information (OSTI), diciembre de 2008. http://dx.doi.org/10.2172/944056.
Texto completoMichael A. Pope, Samuel E. Bays, S. Piet, R. Ferrer y Mehdi Asgari. Transmutation Performance Analysis for Inert Matrix Fuels in Light Water Reactors and Computational Neutronics Methods Capabilities at INL. Office of Scientific and Technical Information (OSTI), mayo de 2009. http://dx.doi.org/10.2172/961935.
Texto completoWissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg y Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/40883.
Texto completoVigil, Benny Manuel, Robert Ballance y Karen Haskell. Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1. Office of Scientific and Technical Information (OSTI), agosto de 2012. http://dx.doi.org/10.2172/1048827.
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