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Статті в журналах з теми "Diffusion prediction"
Rasero, Javier, Amy Isabella Sentis, Fang-Cheng Yeh, and Timothy Verstynen. "Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability." PLOS Computational Biology 17, no. 3 (March 5, 2021): e1008347. http://dx.doi.org/10.1371/journal.pcbi.1008347.
Повний текст джерелаCao, Ren-Meng, Xiao Fan Liu, and Xiao-Ke Xu. "Why cannot long-term cascade be predicted? Exploring temporal dynamics in information diffusion processes." Royal Society Open Science 8, no. 9 (September 2021): 202245. http://dx.doi.org/10.1098/rsos.202245.
Повний текст джерелаHuang, Ningbo, Gang Zhou, Mengli Zhang, Meng Zhang, and Ze Yu. "Modelling the Latent Semantics of Diffusion Sources in Information Cascade Prediction." Computational Intelligence and Neuroscience 2021 (September 29, 2021): 1–12. http://dx.doi.org/10.1155/2021/7880215.
Повний текст джерелаPinholt, Henrik D., Søren S. R. Bohr, Josephine F. Iversen, Wouter Boomsma, and Nikos S. Hatzakis. "Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion." Proceedings of the National Academy of Sciences 118, no. 31 (July 28, 2021): e2104624118. http://dx.doi.org/10.1073/pnas.2104624118.
Повний текст джерелаKim, Do Gyeum. "An Experimental Research for Developing Prediction Program for Time to Corrosion Reinforcing Steel." Advanced Materials Research 1052 (October 2014): 335–45. http://dx.doi.org/10.4028/www.scientific.net/amr.1052.335.
Повний текст джерелаChen, Ninghan, Xihui Chen, Zhiqiang Zhong, and Jun Pang. "Exploring Spillover Effects for COVID-19 Cascade Prediction." Entropy 24, no. 2 (January 31, 2022): 222. http://dx.doi.org/10.3390/e24020222.
Повний текст джерелаQian, Fei, Li Chen, Jun Li, Chao Ding, Xianfu Chen, and Jian Wang. "Direct Prediction of the Toxic Gas Diffusion Rule in a Real Environment Based on LSTM." International Journal of Environmental Research and Public Health 16, no. 12 (June 17, 2019): 2133. http://dx.doi.org/10.3390/ijerph16122133.
Повний текст джерелаHalnes, Geir, Tuomo Mäki-Marttunen, Klas H. Pettersen, Ole A. Andreassen, and Gaute T. Einevoll. "Ion diffusion may introduce spurious current sources in current-source density (CSD) analysis." Journal of Neurophysiology 118, no. 1 (July 1, 2017): 114–20. http://dx.doi.org/10.1152/jn.00976.2016.
Повний текст джерелаNatsir, Bulkis, Faisal Yunus, and Triya Damayanti. "The Correlations Between Measurement of Lung Diffusing Capacity for Carbon Monoxide and The Severity Group of Asthma Patients in Persahabatan Hospital Jakarta." Jurnal Respirologi Indonesia 42, no. 1 (January 8, 2022): 58–66. http://dx.doi.org/10.36497/jri.v42i1.296.
Повний текст джерелаvan der Aa, Niek E., Alexander Leemans, Frances J. Northington, Henrica L. van Straaten, Ingrid C. van Haastert, Floris Groenendaal, Manon J. N. L. Benders, and Linda S. de Vries. "Does Diffusion Tensor Imaging-Based Tractography at 3 Months of Age Contribute to the Prediction of Motor Outcome After Perinatal Arterial Ischemic Stroke?" Stroke 42, no. 12 (December 2011): 3410–14. http://dx.doi.org/10.1161/strokeaha.111.624858.
Повний текст джерелаДисертації з теми "Diffusion prediction"
D’Agostino, Carmine, Geoff D. Moggridge, Lynn F. Gladden, and Mick D. Mantl. "Prediction of mutual diffusion coefficients in non-ideal binary mixtures from PFG-NMR diffusion measurements." Diffusion fundamentals 20 (2013) 109, S. 1-2, 2013. https://ul.qucosa.de/id/qucosa%3A13698.
Повний текст джерелаD’Agostino, Carmine, Geoff D. Moggridge, Lynn F. Gladden, and Mick D. Mantl. "Prediction of mutual diffusion coefficients in non-ideal binary mixtures from PFG-NMR diffusion measurements." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184023.
Повний текст джерелаNowicki, Timothy. "Statistical model prediction of fatigue life for diffusion bonded Inconel 600 /." Online version of thesis, 2008. http://hdl.handle.net/1850/7984.
Повний текст джерелаPirot, Fabrice. "Analyse, mesure et prediction de la diffusion dans le stratum corneum humain." Besançon, 1996. http://www.theses.fr/1996BESA3710.
Повний текст джерелаZhu, Qingyong, Geoffrey D. Moggridge, and Carmine D’Agostino. "A local composition model for the prediction of mutual diffusion coefficients in binary liquid mixtures from tracer diffusion coefficients." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-198798.
Повний текст джерелаZhu, Qingyong, Geoffrey D. Moggridge, and Carmine D’Agostino. "A local composition model for the prediction of mutual diffusion coefficients in binary liquid mixtures from tracer diffusion coefficients: A local composition model for the prediction of mutual diffusioncoefficients in binary liquid mixtures from tracer diffusion coefficients." Diffusion fundamentals 24 (2015) 58, S. 1, 2015. https://ul.qucosa.de/id/qucosa%3A14577.
Повний текст джерелаLong, Xiaoyan. "Prediction of shear strength and vertical movement due to moisture diffusion through expansive soils." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4313.
Повний текст джерелаReynier, Alain. "Modelisation et prediction de la migration des additifs des emballages alimentaires." Reims, 2000. http://www.theses.fr/2000REIMS004.
Повний текст джерелаChang, Hojoon. "Prediction of Soot Formation in Laminar Opposed Diffusion Flame with Detailed and Reduced Reaction Mechanisms." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4922.
Повний текст джерелаAtwood, Robert Carl. "A combined cellular automata and diffusion model for the prediction of porosity formation during solidification." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/11433.
Повний текст джерелаКниги з теми "Diffusion prediction"
Phillips, Norman A. Dispersion processes in large-scale weather prediction. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1990.
Знайти повний текст джерелаPhillips, Norman A. Dispersion processes in large scale weather prediction. [Geneva]: World Meteorological Organization, 1990.
Знайти повний текст джерелаJiang, L. Y. Prediction of axisymmetric turbulent diffusion flames and comparison with laser-Doppler velocimetry data. [Downsview, Ont.]: Institute for Aerospace Studies, 1987.
Знайти повний текст джерелаElazar, Yekutiel. A mapping of the viscous flow behavior in a controlled diffusion compressor cascade using laser doppler velocimetry and preliminary evaluation of codes for the prediction of stall. Monterey, California: Naval Postgraduate School, 1988.
Знайти повний текст джерелаChristopher, Layne, Arquilla John, Rand Corporation, and Arroyo Center, eds. Predicting military innovation. Santa Monica, CA: RAND, 1999.
Знайти повний текст джерела1934-, Hoffman Joe D., and United States. National Aeronautics and Space Administration., eds. The prediction of nozzle performance and heat transfer in hydrogen/oxygen rocket engines with transpiration cooling, film cooling, and high area ratios. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаO, Demuren A., and Lewis Research Center. Institute for Computational Mechanics in Propulsion., eds. On bi-grid local mode analysis of solution techniques for 3-D Euler and Navier-Stokes equations. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1994.
Знайти повний текст джерелаOn bi-grid local mode analysis of solution techniques for 3-D Euler and Navier-Stokes equations. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1994.
Знайти повний текст джерелаOn bi-grid local mode analysis of solution techniques for 3-D Euler and Navier-Stokes equations. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1994.
Знайти повний текст джерелаKonrad, Kerstin, Adriana Di Martino, and Yuta Aoki. Brain volumes and intrinsic brain connectivity in ADHD. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0006.
Повний текст джерелаЧастини книг з теми "Diffusion prediction"
Talwani, Pradeep, and Steve Acree. "Pore Pressure Diffusion and the Mechanism of Reservoir-Induced Seismicity." In Earthquake Prediction, 947–65. Basel: Birkhäuser Basel, 1985. http://dx.doi.org/10.1007/978-3-0348-6245-5_14.
Повний текст джерелаBerlyand, M. E. "Anomalously hazardous conditions of pollutant diffusion." In Prediction and Regulation of Air Pollution, 51–73. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3768-3_3.
Повний текст джерелаAltshuler, Yaniv, Wei Pan, and Alex Pentland. "Trends Prediction Using Social Diffusion Models." In Social Computing, Behavioral - Cultural Modeling and Prediction, 97–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29047-3_12.
Повний текст джерелаYang, Cheng, Chuan Shi, Zhiyuan Liu, Cunchao Tu, and Maosong Sun. "Network Embedding for Information Diffusion Prediction." In Network Embedding, 171–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01590-8_12.
Повний текст джерелаKim, Jaeil, Yoonmi Hong, Geng Chen, Weili Lin, Pew-Thian Yap, and Dinggang Shen. "Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI Data." In Computational Diffusion MRI, 133–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05831-9_11.
Повний текст джерелаFu, Wai-Tat, and Q. Vera Liao. "Information and Attitude Diffusion in Networks." In Social Computing, Behavioral - Cultural Modeling and Prediction, 205–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29047-3_25.
Повний текст джерелаLakkaraju, Kiran. "A Preliminary Model of Media Influence on Attitude Diffusion." In Social Computing, Behavioral-Cultural Modeling, and Prediction, 327–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16268-3_38.
Повний текст джерелаWu, Yao, Hong Huang, and Hai Jin. "Information Diffusion Prediction with Personalized Graph Neural Networks." In Knowledge Science, Engineering and Management, 376–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55393-7_34.
Повний текст джерелаLv, Ruilin, Chengxi Zang, Wai Kin (Victor) Chan, and Wenwu Zhu. "Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction." In Smart Service Systems, Operations Management, and Analytics, 379–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30967-1_34.
Повний текст джерелаArjomandi, M., S. H. Sadati, H. Khorsand, and H. Abdoos. "Austenite Formation Temperature Prediction in Steels Using an Artificial Neural Network." In Diffusion in Solids and Liquids III, 335–41. Stafa: Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908451-51-5.335.
Повний текст джерелаТези доповідей конференцій з теми "Diffusion prediction"
Zitouni, Bayrem, and Lennart von Germersheim. "Desorption, diffusion, reflections, and reemission: the outgassing molecules elusive behaviors." In Systems Contamination: Prediction, Control, and Performance 2020, edited by Carlos E. Soares, Eve M. Wooldridge, and Bruce A. Matheson. SPIE, 2020. http://dx.doi.org/10.1117/12.2568077.
Повний текст джерелаYang, Cheng, Jian Tang, Maosong Sun, Ganqu Cui, and Zhiyuan Liu. "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/560.
Повний текст джерелаBalali, Ali, Aboozar Rajabi, Sepehr Ghassemi, Masoud Asadpour, and Hesham Faili. "Content diffusion prediction in social networks." In 2013 5th Conference on Information and Knowledge Technology (IKT). IEEE, 2013. http://dx.doi.org/10.1109/ikt.2013.6620114.
Повний текст джерелаWang, Zhitao, Chengyao Chen, and Wenjie Li. "Attention Network for Information Diffusion Prediction." In Companion of the The Web Conference 2018. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3184558.3186931.
Повний текст джерелаChen, Xueqin, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Fengli Zhang. "Information Diffusion Prediction via Recurrent Cascades Convolution." In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE, 2019. http://dx.doi.org/10.1109/icde.2019.00074.
Повний текст джерелаWang, Jia, Vincent W. Zheng, Zemin Liu, and Kevin Chen-Chuan Chang. "Topological Recurrent Neural Network for Diffusion Prediction." In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017. http://dx.doi.org/10.1109/icdm.2017.57.
Повний текст джерелаZhou, Fan, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong. "Variational Information Diffusion for Probabilistic Cascades Prediction." In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications. IEEE, 2020. http://dx.doi.org/10.1109/infocom41043.2020.9155349.
Повний текст джерелаLee, Jong-Ryul, and Chin-Wan Chung. "A new correlation-based information diffusion prediction." In the 23rd International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2567948.2579241.
Повний текст джерелаGu, Tianpei, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu. "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.01660.
Повний текст джерелаKim, Sung-Soo, Moonyoung Chung, and Young-Kuk Kim. "Urban Traffic Prediction using Congestion Diffusion Model." In 2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia). IEEE, 2020. http://dx.doi.org/10.1109/icce-asia49877.2020.9276823.
Повний текст джерелаЗвіти організацій з теми "Diffusion prediction"
Gareau, Paul, and Brian K. Rutt. Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada390993.
Повний текст джерелаLyon, B. F. Prediction of external corrosion for steel cylinders at the Paducah Gaseous Diffusion Plant: Application of an empirical method. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/212460.
Повний текст джерелаOr, Dani, Shmulik Friedman, and Jeanette Norton. Physical processes affecting microbial habitats and activity in unsaturated agricultural soils. United States Department of Agriculture, October 2002. http://dx.doi.org/10.32747/2002.7587239.bard.
Повний текст джерелаBaral, Aniruddha, Jeffrey Roesler, M. Ley, Shinhyu Kang, Loren Emerson, Zane Lloyd, Braden Boyd, and Marllon Cook. High-volume Fly Ash Concrete for Pavements Findings: Volume 1. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-030.
Повний текст джерелаBodanapally, Uttam, Andrew Choi, and Robert Shin. Diffusion-Weighted Imaging of Traumatic Optic Neuropathy: Diagnosis and Predicting the Prognosis. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada601984.
Повний текст джерелаCaturla, M., M. D. Johnson, and J. Zhu. Toward a predictive atomistic model of ion implantation and dopant diffusion in silicon. Office of Scientific and Technical Information (OSTI), September 1998. http://dx.doi.org/10.2172/2853.
Повний текст джерелаAndrade, José E., and John W. Rudnicki. Multiscale framework for predicting the coupling between deformation and fluid diffusion in porous rocks. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1057395.
Повний текст джерелаFriedman, Shmuel, Jon Wraith, and Dani Or. Geometrical Considerations and Interfacial Processes Affecting Electromagnetic Measurement of Soil Water Content by TDR and Remote Sensing Methods. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580679.bard.
Повний текст джерела