Academic literature on the topic 'Diffusion prediction'
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Journal articles on the topic "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.
Full textCao, 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.
Full textHuang, 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.
Full textPinholt, 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.
Full textKim, 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.
Full textChen, 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.
Full textQian, 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.
Full textHalnes, 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.
Full textNatsir, 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.
Full textvan 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.
Full textDissertations / Theses on the topic "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.
Full textD’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.
Full textNowicki, Timothy. "Statistical model prediction of fatigue life for diffusion bonded Inconel 600 /." Online version of thesis, 2008. http://hdl.handle.net/1850/7984.
Full textPirot, Fabrice. "Analyse, mesure et prediction de la diffusion dans le stratum corneum humain." Besançon, 1996. http://www.theses.fr/1996BESA3710.
Full textZhu, 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.
Full textZhu, 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.
Full textLong, 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.
Full textReynier, Alain. "Modelisation et prediction de la migration des additifs des emballages alimentaires." Reims, 2000. http://www.theses.fr/2000REIMS004.
Full textChang, 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.
Full textAtwood, 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.
Full textBooks on the topic "Diffusion prediction"
Phillips, Norman A. Dispersion processes in large-scale weather prediction. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1990.
Find full textPhillips, Norman A. Dispersion processes in large scale weather prediction. [Geneva]: World Meteorological Organization, 1990.
Find full textJiang, L. Y. Prediction of axisymmetric turbulent diffusion flames and comparison with laser-Doppler velocimetry data. [Downsview, Ont.]: Institute for Aerospace Studies, 1987.
Find full textElazar, 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.
Find full textChristopher, Layne, Arquilla John, Rand Corporation, and Arroyo Center, eds. Predicting military innovation. Santa Monica, CA: RAND, 1999.
Find full text1934-, 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.
Find full textO, 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.
Find full textOn 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.
Find full textOn 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.
Find full textKonrad, 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.
Full textBook chapters on the topic "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.
Full textBerlyand, 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.
Full textAltshuler, 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.
Full textYang, 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.
Full textKim, 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.
Full textFu, 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.
Full textLakkaraju, 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.
Full textWu, 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.
Full textLv, 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.
Full textArjomandi, 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.
Full textConference papers on the topic "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.
Full textYang, 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.
Full textBalali, 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.
Full textWang, 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.
Full textChen, 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.
Full textWang, 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.
Full textZhou, 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.
Full textLee, 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.
Full textGu, 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.
Full textKim, 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.
Full textReports on the topic "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.
Full textLyon, 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.
Full textOr, 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.
Full textBaral, 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.
Full textBodanapally, 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.
Full textCaturla, 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.
Full textAndrade, 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.
Full textFriedman, 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.
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