Academic literature on the topic 'Computational capabilities'
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Journal articles on the topic "Computational capabilities"
Lin, Hai-Qing. "Boosting computational capabilities." Nature Materials 15, no. 7 (June 22, 2016): 693–94. http://dx.doi.org/10.1038/nmat4675.
Full textWeihe, S., and B. Kröplin. "Computational mechanics: capabilities and restrictions." Computational Materials Science 16, no. 1-4 (December 1999): 10–16. http://dx.doi.org/10.1016/s0927-0256(99)00040-3.
Full textNeirotti, J. P., and L. Franco. "Computational capabilities of multilayer committee machines." Journal of Physics A: Mathematical and Theoretical 43, no. 44 (October 18, 2010): 445103. http://dx.doi.org/10.1088/1751-8113/43/44/445103.
Full textScarselli, F., M. Gori, Ah Chung Tsoi, M. Hagenbuchner, and G. Monfardini. "Computational Capabilities of Graph Neural Networks." IEEE Transactions on Neural Networks 20, no. 1 (January 2009): 81–102. http://dx.doi.org/10.1109/tnn.2008.2005141.
Full textCABESSA, JÉRÉMIE, and HAVA T. SIEGELMANN. "THE SUPER-TURING COMPUTATIONAL POWER OF PLASTIC RECURRENT NEURAL NETWORKS." International Journal of Neural Systems 24, no. 08 (November 20, 2014): 1450029. http://dx.doi.org/10.1142/s0129065714500294.
Full textSiegelmann, H. T., B. G. Horne, and C. L. Giles. "Computational capabilities of recurrent NARX neural networks." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27, no. 2 (April 1997): 208–15. http://dx.doi.org/10.1109/3477.558801.
Full textPriel, Avner, Marcelo Blatt, Tal Grossmann, Eytan Domany, and Ido Kanter. "Computational capabilities of restricted two-layered perceptrons." Physical Review E 50, no. 1 (July 1, 1994): 577–95. http://dx.doi.org/10.1103/physreve.50.577.
Full textHuang, Xin, Haotian Yin, Xin Zhang, Di Zhang, Sheng Chai, Bin Xing, Jie Zhang, Xiaoling Yu, Yu Zhou, and Haixia Zheng. "Efficient and Secure Pairing Protocol for Devices with Unbalanced Computational Capabilities." Mathematics 10, no. 14 (July 13, 2022): 2447. http://dx.doi.org/10.3390/math10142447.
Full textEscribano, Jesús, Francisco Botana, and Miguel A. Abánades. "Adding remote computational capabilities to Dynamic Geometry Systems." Mathematics and Computers in Simulation 80, no. 6 (February 2010): 1177–84. http://dx.doi.org/10.1016/j.matcom.2008.04.019.
Full textChourasiya, Neelesh L., and Neeraj Mohan. "Computational Offloading in Android Devices Using Cloud Computing Capabilities." International Journal on Communications Antenna and Propagation (IRECAP) 8, no. 1 (February 28, 2018): 9. http://dx.doi.org/10.15866/irecap.v7i6.13349.
Full textDissertations / Theses on the topic "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.
Full textNeedham, 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.
Full textMurabito, 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.
Full textLindberg, 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.
Full textLundqvist, 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.
Full textSimulating 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.
Full textGoodwin, 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.
Full textOlsson, 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.
Full textMarshall, Robert. "Improving the efficiency and capabilities of document structuring." 2007. http://repository.unimelb.edu.au/10187/1700.
Full text"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.
Full textCaption 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
Books on the topic "Computational capabilities"
Lothar, Wolf, Krawiec John, and 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.
Find full textCenter, Langley Research, and 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.
Find full textCurrent Capabilities and Future Directions in Computational Fluid Dynamics. Washington, D.C.: National Academies Press, 1986. http://dx.doi.org/10.17226/18928.
Full textQuartara, Andrea, and Djordje Stanojevic. Computational and Manufacturing Strategies: Experimental Expressions of Wood Capabilities. Springer, 2018.
Find full textNational Aeronautics and Space Administration (NASA) Staff. On the Computational Capabilities of Physical Systems. Part 2; Relationship with Conventional Computer Science. Independently Published, 2018.
Find full textBandyopadhyay, Avimanyu. Hands-On GPU Computing with Python: Explore the Capabilities of GPUs for Solving High Performance Computational Problems. Packt Publishing, Limited, 2019.
Find full textButz, Martin V., and Esther F. Kutter. Cognitive Development and Evolution. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0004.
Full textService 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.
Find full textButz, Martin V., and Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.
Full textSucci, Sauro. Flows at Moderate Reynolds Numbers. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0018.
Full textBook chapters on the topic "Computational capabilities"
Mandal, Sujoy, Koushik Samanta, Debipriya Dutta, and Anindya Bose. "IRNSS capabilities." In 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.
Full textPreciado, Víctor M. "Improving Cellular Nonlinear Network Computational Capabilities." In 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.
Full textŠíma, Jiří. "The Computational Capabilities of Neural Networks." In Artificial Neural Nets and Genetic Algorithms, 22–26. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_4.
Full textMaknickienė, Nijolė, and Algirdas Maknickas. "Prediction Capabilities of Evolino RNN Ensembles." In Studies in Computational Intelligence, 473–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23392-5_26.
Full textAlfaro-García, Víctor G., Anna M. Gil-Lafuente, and Gerardo G. Alfaro Calderón. "Innovation Capabilities Using Fuzzy Logic Systems." In Applied Mathematics and Computational Intelligence, 264–76. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75792-6_20.
Full textFernandez, Rolando, Erin Zaroukian, James D. Humann, Brandon Perelman, Michael R. Dorothy, Sebastian S. Rodriguez, and Derrik E. Asher. "Emergent Heterogeneous Strategies from Homogeneous Capabilities in Multi-Agent Systems." In 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.
Full textIglesias, A., and R. Ipanaqué. "Extending Maple Capabilities for Solving and Displaying Inequalities." In Computational Science – ICCS 2006, 383–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758525_52.
Full textFields, Chris, Mark DeYong, and Randall Findley. "Computational Capabilities of Biologically-Realistic Analog Processing Elements." In 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.
Full textRodríguez, Alejandro, Enrique Jimenez, Mateusz Radzimski, Juan Miguel Gómez, Giner Alor, Rubén Posada-Gomez, and Jose E. Labra Gayo. "Applying Caching Capabilities to Inference Applications Based on Semantic Web." In Studies in Computational Intelligence, 27–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03958-4_3.
Full textKhekare, Ganesh, Lokesh Kumar Bramhane, Chetan Dhule, Rahul Agrawal, and Anil V. Turukmane. "Testing and Analysis of Predictive Capabilities of Machine Learning Algorithms." In Studies in Computational Intelligence, 419–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99079-4_16.
Full textConference papers on the topic "Computational capabilities"
Frison, Gianluca, and John Bagterp Jorgensen. "MPC related computational capabilities of ARMv7A processors." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7331062.
Full textZou, Mengsong, Ali Reza Zamani, Javier Diaz-Montes, Ioan Petri, Omer Rana, and Manish Parashar. "Leveraging In-Transit Computational Capabilities in Federated Ecosystems." In 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE). IEEE, 2016. http://dx.doi.org/10.1109/sose.2016.15.
Full textPinkevich, Vasiliy. "HARDWARE COMPUTATIONAL UNITS DESIGN WITH COMBINED DEBUG CAPABILITIES." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/21/s07.011.
Full textRitter and Schulten. "Kohonen's self-organizing maps: exploring their computational capabilities." In Proceedings of 1993 IEEE International Conference on Neural Networks (ICNN '93). IEEE, 1988. http://dx.doi.org/10.1109/icnn.1988.23838.
Full textChaudhari, Narendra S., Yew Soon Ong, and Veena Trivedi. "Computational Capabilities of Soft-Computing Frameworks: An Overview." In 2006 9th International Conference on Control, Automation, Robotics and Vision. IEEE, 2006. http://dx.doi.org/10.1109/icarcv.2006.345433.
Full textJackson, George W., and Shawon S. M. Rahman. "Security Governance, Management and Strategic Alignment via Capabilities." In 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.8.
Full textGladkikh, Anatoliy A., Dmitriy V. Mishin, Nikolay Y. Chilikhin, and Roman Z. Ibragimov. "Methods of coherent networks matching with codecs computational capabilities." In optical-technologies-in-telecommunications-2018, edited by Anton V. Bourdine, Vladimir A. Burdin, Oleg G. Morozov, Albert H. Sultanov, and Vladimir A. Andreev. SPIE, 2019. http://dx.doi.org/10.1117/12.2526538.
Full textMunipalli, Ramakanth, and Vijaya Shankar. "Development of computational capabilities in real gas MHD simulations." In 39th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-198.
Full textGrange, Camille, and Izak Benbasat. "Information Technology Capabilities for Digital Social Networks." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.113.
Full textHebbar, Akshay. "Augmented intelligence: Enhancing human capabilities." In 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2017. http://dx.doi.org/10.1109/icrcicn.2017.8234515.
Full textReports on the topic "Computational capabilities"
Sengupta, Debasis, Shaun Kwak, Alex Vasenkov, Yun Kyung Shin, and Adri van Duin. Computational Capabilities for Predictions of Interactions at the Grain Boundary of Refractory Alloys. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1170170.
Full textSengupta, Debasis, Shaun Kwak, Alex Vasenkov, Yun Kyung Shin, and Adri van Duin. Computational Capabilities for Predictions of Interactions at the Grain Boundary of Refractory Alloys. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1170210.
Full textBarney, B., and J. Shuler. Purple Computational Environment With Mappings to ACE Requirements for the General Availability User Environment Capabilities. Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/900098.
Full textClark, Andrew, David Luxat, Michael Higgins, and Mariah Smith. Survey and Assessment of Computational Capabilities for Advanced (Non-LWR) Reactor Mechanistic Source Term Analysis. Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1772327.
Full textKung, Steven, and 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), August 2014. http://dx.doi.org/10.2172/1165184.
Full textKothe, Douglas B., Kenneth J. Roche, and 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), January 2010. http://dx.doi.org/10.2172/977116.
Full textRobert E. Spall, Barton Smith, and 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), December 2008. http://dx.doi.org/10.2172/944056.
Full textMichael A. Pope, Samuel E. Bays, S. Piet, R. Ferrer, and 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), May 2009. http://dx.doi.org/10.2172/961935.
Full textWissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg, and Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40883.
Full textVigil, Benny Manuel, Robert Ballance, and 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), August 2012. http://dx.doi.org/10.2172/1048827.
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