Статті в журналах з теми "Diffusion prediction"
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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 джерелаPrazeres, D. M. F. "Prediction of diffusion coefficients of plasmids." Biotechnology and Bioengineering 99, no. 4 (2008): 1040–44. http://dx.doi.org/10.1002/bit.21626.
Повний текст джерелаTyn, Myo T., and Todd W. Gusek. "Prediction of diffusion coefficients of proteins." Biotechnology and Bioengineering 35, no. 4 (February 20, 1990): 327–38. http://dx.doi.org/10.1002/bit.260350402.
Повний текст джерелаChan, K. S., N. S. Cheruvu, and G. R. Leverant. "Coating Life Prediction for Combustion Turbine Blades." Journal of Engineering for Gas Turbines and Power 121, no. 3 (July 1, 1999): 484–88. http://dx.doi.org/10.1115/1.2818498.
Повний текст джерелаBengtsson, Lisa, Sander Tijm, Filip Váňa, and Gunilla Svensson. "Impact of Flow-Dependent Horizontal Diffusion on Resolved Convection in AROME." Journal of Applied Meteorology and Climatology 51, no. 1 (January 2012): 54–67. http://dx.doi.org/10.1175/jamc-d-11-032.1.
Повний текст джерелаChi, Cheng-Ting, Ming-Han Lee, Ching-Feng Weng, and Max K. Leong. "In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach." International Journal of Molecular Sciences 20, no. 13 (June 28, 2019): 3170. http://dx.doi.org/10.3390/ijms20133170.
Повний текст джерелаWang, William Yi, Bi Cheng Zhou, Jia Jia Han, Hua Zhi Fang, Shun Li Shang, Yi Wang, Xi Dong Hui, and Zi Kui Liu. "Prediction of Diffusion Coefficients in Liquid and Solids." Defect and Diffusion Forum 364 (June 2015): 182–91. http://dx.doi.org/10.4028/www.scientific.net/ddf.364.182.
Повний текст джерелаYang, R. T., Y. D. Chen, and Y. T. Yeh. "Prediction of cross-term coefficients in binary diffusion: Diffusion in zeolite." Chemical Engineering Science 46, no. 12 (1991): 3089–99. http://dx.doi.org/10.1016/0009-2509(91)85012-m.
Повний текст джерелаShang, Yidan, Kiao Inthavong, Dasheng Qiu, Narinder Singh, Fajiang He, and Jiyuan Tu. "Prediction of nasal spray drug absorption influenced by mucociliary clearance." PLOS ONE 16, no. 1 (January 28, 2021): e0246007. http://dx.doi.org/10.1371/journal.pone.0246007.
Повний текст джерелаDorman, L. I. "Prediction of galactic cosmic ray intensity variation for a few (up to 10-12) years ahead on the basis of convection-diffusion and drift model." Annales Geophysicae 23, no. 9 (November 22, 2005): 3003–7. http://dx.doi.org/10.5194/angeo-23-3003-2005.
Повний текст джерелаKim, Yoon-Chul, Hyung Jun Kim, Jong-Won Chung, In Gyeong Kim, Min Jung Seong, Keon Ha Kim, Pyoung Jeon, et al. "Novel Estimation of Penumbra Zone Based on Infarct Growth Using Machine Learning Techniques in Acute Ischemic Stroke." Journal of Clinical Medicine 9, no. 6 (June 24, 2020): 1977. http://dx.doi.org/10.3390/jcm9061977.
Повний текст джерелаSuga, Kazuhiro, Taro Moteki, and Masanori Kikuchi. "Corrosion Prediction under Flow Field." Key Engineering Materials 462-463 (January 2011): 1261–66. http://dx.doi.org/10.4028/www.scientific.net/kem.462-463.1261.
Повний текст джерелаAzad, Hassan, and Gary W. Siebein. "On the prediction of sound diffusion coefficient." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1896. http://dx.doi.org/10.1121/1.5036168.
Повний текст джерелаZhao, Jiuhua, Qipeng Liu, Lin Wang, and Xiaofan Wang. "Prediction of competitive diffusion on complex networks." Physica A: Statistical Mechanics and its Applications 507 (October 2018): 12–21. http://dx.doi.org/10.1016/j.physa.2018.05.004.
Повний текст джерелаBosse, Dennis, and Hans-Jörg Bart. "Prediction of Diffusion Coefficients in Liquid Systems." Industrial & Engineering Chemistry Research 45, no. 5 (March 2006): 1822–28. http://dx.doi.org/10.1021/ie0487989.
Повний текст джерелаLiu, Jin-Hu, Yu-Xiao Zhu, and Tao Zhou. "Improving personalized link prediction by hybrid diffusion." Physica A: Statistical Mechanics and its Applications 447 (April 2016): 199–207. http://dx.doi.org/10.1016/j.physa.2015.12.036.
Повний текст джерелаSiddiqi, M. A., and K. Lucas. "Correlations for prediction of diffusion in liquids." Canadian Journal of Chemical Engineering 64, no. 5 (October 1986): 839–43. http://dx.doi.org/10.1002/cjce.5450640519.
Повний текст джерелаSun, Ling, Yuan Rao, Xiangbo Zhang, Yuqian Lan, and Shuanghe Yu. "MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 4156–64. http://dx.doi.org/10.1609/aaai.v36i4.20334.
Повний текст джерелаCoogan, Timothy J., and David O. Kazmer. "Healing simulation for bond strength prediction of FDM." Rapid Prototyping Journal 23, no. 3 (April 18, 2017): 551–61. http://dx.doi.org/10.1108/rpj-03-2016-0051.
Повний текст джерелаApte, Mandar S., Ahmadbazlee Matzain, Hong-Quan Zhang, Michael Volk, James P. Brill, and Jeff L. Creek. "Investigation of Paraffin Deposition During Multiphase Flow in Pipelines and Wellbores—Part 2: Modeling." Journal of Energy Resources Technology 123, no. 2 (January 15, 2001): 150–57. http://dx.doi.org/10.1115/1.1369359.
Повний текст джерелаKINOSHITA, Shinichi, Hitoshi SHIOTANI, and Toshimi TAKAGI. "Numerical Prediction of Diffusion Flames Using Multicomponent Diffusion and the Accuracy Evaluation." Transactions of the Japan Society of Mechanical Engineers Series B 66, no. 647 (2000): 1859–64. http://dx.doi.org/10.1299/kikaib.66.647_1859.
Повний текст джерелаLiu, Huashan, Hang Wang, Wenjun Zhu, Xiaoma Tao, and Zhanpeng Jin. "Prediction of formation of intermetallic compounds in diffusion couples." Journal of Materials Research 22, no. 6 (June 2007): 1502–11. http://dx.doi.org/10.1557/jmr.2007.0212.
Повний текст джерелаSalunkhe, Sanchit, Oumnia El Fajri, Shanti Bhushan, David Thompson, Daphne O’Doherty, Tim O’Doherty, and Allan Mason-Jones. "Validation of Tidal Stream Turbine Wake Predictions and Analysis of Wake Recovery Mechanism." Journal of Marine Science and Engineering 7, no. 10 (October 11, 2019): 362. http://dx.doi.org/10.3390/jmse7100362.
Повний текст джерелаLuyt, Charles-Edouard, Damien Galanaud, Vincent Perlbarg, Audrey Vanhaudenhuyse, Robert D. Stevens, Rajiv Gupta, Hortense Besancenot, et al. "Diffusion Tensor Imaging to Predict Long-term Outcome after Cardiac Arrest." Anesthesiology 117, no. 6 (December 1, 2012): 1311–21. http://dx.doi.org/10.1097/aln.0b013e318275148c.
Повний текст джерелаBouvier, J. M., and M. Gelus. "Diffusion of Heavy Oil in a Swelling Elastomer." Rubber Chemistry and Technology 59, no. 2 (May 1, 1986): 233–40. http://dx.doi.org/10.5254/1.3538196.
Повний текст джерелаNilsson, Lars-Olof. "Chloride profiles with a peak – why and what are the consequences for predictions?" MATEC Web of Conferences 364 (2022): 02024. http://dx.doi.org/10.1051/matecconf/202236402024.
Повний текст джерелаLuo, Zijun, Rui Zeng, and Pan Wang. "Air Quality Prediction Based on Quadratic Prediction Model." Learning & Education 10, no. 5 (March 13, 2022): 52. http://dx.doi.org/10.18282/l-e.v10i5.2669.
Повний текст джерелаLi, Yangyang, Hao Jin, Xiangyi Yu, Haiyong Xie, Yabin Xu, Huajun Xu, and Huacheng Zeng. "Intelligent Prediction of Private Information Diffusion in Social Networks." Electronics 9, no. 5 (April 27, 2020): 719. http://dx.doi.org/10.3390/electronics9050719.
Повний текст джерелаSilverman, D. C. "Dimensionless Groups in the Modeling and Prediction of Corrosion Processes." Corrosion 41, no. 12 (December 1, 1985): 679–87. http://dx.doi.org/10.5006/1.3583003.
Повний текст джерелаHou, Zhi Hong, and Shi Yong Luo. "Simulation and Computation of Diffusion in Solids." Applied Mechanics and Materials 182-183 (June 2012): 933–36. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.933.
Повний текст джерелаDunlop, Peter J., and C. M. Bignell. "Prediction of gaseous diffusion coefficients from thermal diffusion measurements and other experimental data." Journal of Chemical Physics 102, no. 14 (April 8, 1995): 5781–84. http://dx.doi.org/10.1063/1.469309.
Повний текст джерелаChan, K. S., N. S. Cheruvu, and G. R. Leverant. "Coating Life Prediction Under Cyclic Oxidation Conditions." Journal of Engineering for Gas Turbines and Power 120, no. 3 (July 1, 1998): 609–14. http://dx.doi.org/10.1115/1.2818189.
Повний текст джерелаAlArfaj, Abeer Abdulaziz, and Hanan Ahmed Hosni Mahmoud. "Deep Learning Model for Prediction of Diffusion in Defect Substances." Processes 10, no. 8 (July 24, 2022): 1446. http://dx.doi.org/10.3390/pr10081446.
Повний текст джерелаCuffey, Kurt M., and Eric J. Steig. "Isotopic diffusion in polar firn: implications for interpretation of seasonal climate parameters in ice-core records, with emphasis on central Greenland." Journal of Glaciology 44, no. 147 (1998): 273–84. http://dx.doi.org/10.3189/s0022143000002616.
Повний текст джерелаCuffey, Kurt M., and Eric J. Steig. "Isotopic diffusion in polar firn: implications for interpretation of seasonal climate parameters in ice-core records, with emphasis on central Greenland." Journal of Glaciology 44, no. 147 (1998): 273–84. http://dx.doi.org/10.1017/s0022143000002616.
Повний текст джерелаIto, Kensuke, Shohei Ohsawa, and Hideyuki Tanaka. "Information Diffusion Enhanced by Multi-Task Peer Prediction." Journal of Data Intelligence 1, no. 1 (March 2020): 18–35. http://dx.doi.org/10.26421/jdi1.1-2.
Повний текст джерелаNtemi, Myrsini, and Constantine Kotropoulos. "A jump-diffusion particle filter for price prediction." Signal Processing 183 (June 2021): 107994. http://dx.doi.org/10.1016/j.sigpro.2021.107994.
Повний текст джерелаRosen, E. M., and D. C. Silverman. "Sorption/Diffusion Prediction in Nonmetallics Using Fick's Law." CORROSION 46, no. 11 (November 1990): 945–51. http://dx.doi.org/10.5006/1.3580864.
Повний текст джерелаFranzoni, Valentina, Andrea Chiancone, and Alfredo Milani. "A Multistrain Bacterial Diffusion Model for Link Prediction." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 11 (March 31, 2017): 1759024. http://dx.doi.org/10.1142/s0218001417590248.
Повний текст джерелаWu, Tao, Leiting Chen, Xingping Xian, and Yuxiao Guo. "Evolution prediction of multi-scale information diffusion dynamics." Knowledge-Based Systems 113 (December 2016): 186–98. http://dx.doi.org/10.1016/j.knosys.2016.09.024.
Повний текст джерелаBeets-Tan, R. "SP-0583 DIFFUSION MR PREDICTION: STANDARD OR RESEARCH." Radiotherapy and Oncology 103 (May 2012): S233. http://dx.doi.org/10.1016/s0167-8140(12)70921-0.
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