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Artykuły w czasopismach na temat "PREDICTION MODELS APPLICATIONS"
Chung, Chang-Jo. "Spatial Prediction Models and Applications." GEOINFORMATICS 12, nr 2 (2001): 58–59. http://dx.doi.org/10.6010/geoinformatics.12.58.
Pełny tekst źródłaDammann, Maximilian Peter, Wolfgang Steger i Kristin Paetzold-Byhain. "OPTIMISED MODELS FOR AR/VR BY USING GEOMETRIC COMPLEXITY METRICS TO CONTROL TESSELLATION". Proceedings of the Design Society 3 (19.06.2023): 2855–64. http://dx.doi.org/10.1017/pds.2023.286.
Pełny tekst źródłaLei, Xiangdong, Changhui Peng, Haiyan Wang i Xiaolu Zhou. "Individual height–diameter models for young black spruce (Picea mariana) and jack pine (Pinus banksiana) plantations in New Brunswick, Canada". Forestry Chronicle 85, nr 1 (1.01.2009): 43–56. http://dx.doi.org/10.5558/tfc85043-1.
Pełny tekst źródłaPintelas, Emmanuel, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis i Panagiotis Pintelas. "Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction". Journal of Imaging 6, nr 6 (28.05.2020): 37. http://dx.doi.org/10.3390/jimaging6060037.
Pełny tekst źródłaMoskolaï, Waytehad Rose, Wahabou Abdou, Albert Dipanda i Kolyang. "Application of Deep Learning Architectures for Satellite Image Time Series Prediction: A Review". Remote Sensing 13, nr 23 (27.11.2021): 4822. http://dx.doi.org/10.3390/rs13234822.
Pełny tekst źródłaKim, Donghyun, Heechan Han, Wonjoon Wang, Yujin Kang, Hoyong Lee i Hung Soo Kim. "Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction". Applied Sciences 12, nr 13 (1.07.2022): 6699. http://dx.doi.org/10.3390/app12136699.
Pełny tekst źródłaColditz, Graham A., i Esther K. Wei. "Risk Prediction Models: Applications in Cancer Prevention". Current Epidemiology Reports 2, nr 4 (30.09.2015): 245–50. http://dx.doi.org/10.1007/s40471-015-0057-1.
Pełny tekst źródłaHe, Jianqin, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Lemuel R. Waitman i Mei Liu. "Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records". JAMIA Open 2, nr 1 (15.11.2018): 115–22. http://dx.doi.org/10.1093/jamiaopen/ooy043.
Pełny tekst źródłaHong, Feng, Lu Tian i Viswanath Devanarayan. "Improving the Robustness of Variable Selection and Predictive Performance of Regularized Generalized Linear Models and Cox Proportional Hazard Models". Mathematics 11, nr 3 (20.01.2023): 557. http://dx.doi.org/10.3390/math11030557.
Pełny tekst źródłaZhao, Zeyuan, Ping Li, Yongjie Dai, Zhaoe Min i Lei Chen. "Multi-Task Deep Evidential Sequence Learning for Trustworthy Alzheimer’s Disease Progression Prediction". Applied Sciences 13, nr 15 (3.08.2023): 8953. http://dx.doi.org/10.3390/app13158953.
Pełny tekst źródłaRozprawy doktorskie na temat "PREDICTION MODELS APPLICATIONS"
Foley, Kristen Madsen. "Multivariate Spatial Temporal Statistical Models for Applications in Coastal Ocean Prediction". NCSU, 2006. http://www.lib.ncsu.edu/theses/available/etd-07042006-110351/.
Pełny tekst źródłaDolan, David M. "Spatial statistics using quasi-likelihood methods with applications". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0029/NQ66201.pdf.
Pełny tekst źródłaBean, Brennan L. "Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction". DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7579.
Pełny tekst źródłaKhondaker, Bidoura. "Transferability of community-based macro-level collision prediction models for use in road safety planning applications". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2867.
Pełny tekst źródłaMacLellan, Christopher J. "Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing". Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1054.
Pełny tekst źródłaAl-Shammari, Dhahi Turki Jadah. "Remote sensing applications for crop type mapping and crop yield prediction for digital agriculture". Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29771.
Pełny tekst źródłaSobhani, Negin. "Applications, performance analysis, and optimization of weather and air quality models". Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5996.
Pełny tekst źródłaRose, Peter. "Prediction of Fish Assemblages in Eastern Australian Streams Using Species Distribution Models: Linking Ecological Theory, Statistical Advances and Management Applications". Thesis, Griffith University, 2018. http://hdl.handle.net/10072/384279.
Pełny tekst źródłaThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Environment and Sc
Science, Environment, Engineering and Technology
Full Text
García, Durán Alberto. "Learning representations in multi-relational graphs : algorithms and applications". Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2271/document.
Pełny tekst źródłaInternet provides a huge amount of information at hand in such a variety of topics, that now everyone is able to access to any kind of knowledge. Such a big quantity of information could bring a leap forward in many areas if used properly. This way, a crucial challenge of the Artificial Intelligence community has been to gather, organize and make intelligent use of this growing amount of available knowledge. Fortunately, important efforts have been made in gathering and organizing knowledge for some time now, and a lot of structured information can be found in repositories called Knowledge Bases (KBs). A main issue with KBs is that they are far from being complete. This thesis proposes several methods to add new links between the existing entities of the KB based on the learning of representations that optimize some defined energy function. We also propose a novel application to make use of this structured information to generate questions in natural language
Asiri, Aisha. "Applications of Game Theory, Tableau, Analytics, and R to Fashion Design". DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2018. http://digitalcommons.auctr.edu/cauetds/146.
Pełny tekst źródłaKsiążki na temat "PREDICTION MODELS APPLICATIONS"
International Workshop on Epileptic Seizure Prediction (3rd 2007 Freiburg im Breisgau, Germany). Seizure prediction in epilepsy: From basic mechanisms to clinical applications. Weinheim: Wiley-VCH, 2008.
Znajdź pełny tekst źródłaUnited States. National Telecommunications and Information Administration., red. Medium frequency propagation prediction techniques and antenna modeling for Intelligent Transportation Systems (ITS) broadcast applications. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1999.
Znajdź pełny tekst źródłaDeMinco, N. Medium frequency propagation prediction techniques and antenna modeling for Intelligent Transportation Systems (ITS) broadcast applications. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1999.
Znajdź pełny tekst źródłaUnited States. National Telecommunications and Information Administration, red. Medium frequency propagation prediction techniques and antenna modeling for Intelligent Transportation Systems (ITS) broadcast applications. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1999.
Znajdź pełny tekst źródłaCenter, Langley Research, red. Empirical modeling of environment-enhanced fatigue crack propagation in structural alloys for component life prediction. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.
Znajdź pełny tekst źródłaAutomotive model predictive control: Models, methods and applications. Berlin: Springer, 2010.
Znajdź pełny tekst źródłaMcMillan, Gregory K. Models unleashed: Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC: ISA, 2004.
Znajdź pełny tekst źródłaPhillips, Peter C. B. Bayesian model selection and prediction with empirical applications. New Haven, CN: Yale University, Cowles Foundation, 1992.
Znajdź pełny tekst źródłaJames, Judge W., Sebastian Lynne i Altschul Jeffrey H, red. Quantifying the present and predicting the past: Theory, method, and application of archeological predictive modeling. Denver, Colo: U.S. Dept. of the Interior, Bureau of Land Management, 1988.
Znajdź pełny tekst źródłaUnited States. National Aeronautics and Space Administration., red. Modeling improvements and users manual for axial-flow turbine off-design computer code AXOD. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Znajdź pełny tekst źródłaCzęści książek na temat "PREDICTION MODELS APPLICATIONS"
Steyerberg, E. W. "Applications of prediction models". W Statistics for Biology and Health, 11–31. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-77244-8_2.
Pełny tekst źródłaSteyerberg, Ewout W. "Applications of Prediction Models". W Statistics for Biology and Health, 15–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16399-0_2.
Pełny tekst źródłaGopakumar, Shivapratap, Truyen Tran, Dinh Phung i Svetha Venkatesh. "Stabilizing Linear Prediction Models Using Autoencoder". W Advanced Data Mining and Applications, 651–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_46.
Pełny tekst źródłaBriggs, William M. "Testing, Prediction, and Cause in Econometric Models". W Econometrics for Financial Applications, 3–19. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73150-6_1.
Pełny tekst źródłaAgarwal, Shrey, Yashaswi Upmon, Riyan Pahuja, Ganesh Bhandarkar i Suresh Chandra Satapathy. "Student Performance Prediction Using Classification Models". W Smart Intelligent Computing and Applications, Volume 1, 187–96. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9669-5_17.
Pełny tekst źródłaZhang, David, Dongmin Guo i Ke Yan. "Improving the Transfer Ability of Prediction Models". W Breath Analysis for Medical Applications, 91–112. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4322-2_6.
Pełny tekst źródłaSkovranek, Tomas, i Vladimir Despotovic. "Signal prediction using fractional derivative models". W Applications in Engineering, Life and Social Sciences, Part B, redaktorzy Dumitru Bǎleanu i António Mendes Lopes, 179–206. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9783110571929-007.
Pełny tekst źródłaPsathas, Anastasios Panagiotis, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas i Ioannis M. Dokas. "Autoregressive Deep Learning Models for Bridge Strain Prediction". W Engineering Applications of Neural Networks, 150–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08223-8_13.
Pełny tekst źródłaBoudali, Imen, i Ines Belhadj Messaoud. "Machine Learning Models for Toxicity Prediction in Chemotherapy". W Intelligent Systems Design and Applications, 350–64. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35510-3_34.
Pełny tekst źródłaAlsinglawi, Belal, Fady Alnajjar, Omar Mubin, Mauricio Novoa, Ola Karajeh i Omar Darwish. "Benchmarking Predictive Models in Electronic Health Records: Sepsis Length of Stay Prediction". W Advanced Information Networking and Applications, 258–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_24.
Pełny tekst źródłaStreszczenia konferencji na temat "PREDICTION MODELS APPLICATIONS"
Camps, Octavia I. "Prediction models from CAD models of 3D objects". W Applications in Optical Science and Engineering, redaktor David P. Casasent. SPIE, 1992. http://dx.doi.org/10.1117/12.131616.
Pełny tekst źródłaGiang, Le Truong, Dongwon Kang i Doo-Hwan Bae. "Software Fault Prediction Models for Web Applications". W 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2010. http://dx.doi.org/10.1109/compsacw.2010.19.
Pełny tekst źródłaBoni, Mohammad Al, i Matthew S. Gerber. "Area-Specific Crime Prediction Models". W 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2016. http://dx.doi.org/10.1109/icmla.2016.0118.
Pełny tekst źródłaOstrowski, David Alfred. "Model segmentation for numerical prediction". W 2009 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA). IEEE, 2009. http://dx.doi.org/10.1109/hima.2009.4937821.
Pełny tekst źródłaNguyen, Tien M., Hien T. Tran, Zhonghai Wang, Amanda Coons, Charles C. Nguyen, Steven A. Lane, Khanh D. Pham, Genshe Chen i Gang Wang. "RFI modeling and prediction approach for SATOP applications: RFI prediction models". W SPIE Defense + Security, redaktorzy Khanh D. Pham i Genshe Chen. SPIE, 2016. http://dx.doi.org/10.1117/12.2223518.
Pełny tekst źródłaKalajdjieski, Jovan, Georgina Mirceva i Slobodan Kalajdziski. "Attention Models for PM2.5 Prediction". W 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT). IEEE, 2020. http://dx.doi.org/10.1109/bdcat50828.2020.00010.
Pełny tekst źródłaBoring, Matthew A., Wei Zhang i William A. Bruce. "Improved Burnthrough Prediction Model for In-Service Welding Applications". W 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64353.
Pełny tekst źródłaSyeed, Miah Mohammad Asif, Maisha Farzana, Ishadie Namir, Ipshita Ishrar, Meherin Hossain Nushra i Tanvir Rahman. "Flood Prediction Using Machine Learning Models". W 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2022. http://dx.doi.org/10.1109/hora55278.2022.9800023.
Pełny tekst źródłaKerce, J. Clayton, i Francois Vandenberghe. "A lower bound for prediction uncertainty in nowcasting/forecasting models". W Optical Engineering + Applications, redaktorzy Xiaolei Zou, Dale Barker i Francois-Xavier Le Dimet. SPIE, 2007. http://dx.doi.org/10.1117/12.740665.
Pełny tekst źródłaLee, Yunli, Leslie Tiong Ching Ow i David Ngo Chek Ling. "Hidden Markov Models for Forex Trends Prediction". W 2014 International Conference on Information Science and Applications (ICISA). IEEE, 2014. http://dx.doi.org/10.1109/icisa.2014.6847408.
Pełny tekst źródłaRaporty organizacyjne na temat "PREDICTION MODELS APPLICATIONS"
Chernozhukov, Victor, Alexandre Belloni i Mingli Chen. Quantile graphical models: prediction and conditional independence with applications to systemic risk. The IFS, grudzień 2017. http://dx.doi.org/10.1920/wp.cem.2017.5417.
Pełny tekst źródłaMeier, David C. Operational Exploitation of Satellite-Based Sounding Data and Numerical Weather Prediction Models for Directed Energy Applications. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2015. http://dx.doi.org/10.21236/ad1003080.
Pełny tekst źródłaBubenik, T. A., R. D. Fischer, G. R. Whitacre, D. J. Jones, J. F. Kiefner, M. Cola i W. A. Bruce. API-WCR Investigation and Prediction of Cooling Rates During Pipeline Maintenance Welding. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), grudzień 1991. http://dx.doi.org/10.55274/r0011852.
Pełny tekst źródłaCheng i Wang. L52025 Calibration of the PRCI Thermal Analysis Model for Hot Tap Welding. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), styczeń 2004. http://dx.doi.org/10.55274/r0010298.
Pełny tekst źródłaHarris, Aubrey, Nathan Richards i S. McKay. Defining levels of effort for ecological models. Engineer Research and Development Center (U.S.), wrzesień 2023. http://dx.doi.org/10.21079/11681/47642.
Pełny tekst źródłaWei, Dongmei, Yang Sun i Rongtao Chen. Risk prediction model for ISR after coronary stenting-a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, kwiecień 2023. http://dx.doi.org/10.37766/inplasy2023.4.0014.
Pełny tekst źródłaBlanco, Roberto, Elena Fernández, Miguel García-Posada i Sergio Mayordomo. An estimation of the default probabilities of Spanish non-financial corporations and their application to evaluate public policies. Madrid: Banco de España, wrzesień 2023. http://dx.doi.org/10.53479/33512.
Pełny tekst źródłaZhu, Xian-Kui, Brian Leis i Tom McGaughy. PR-185-173600-R01 Reference Stress for Metal-loss Assessment of Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), sierpień 2018. http://dx.doi.org/10.55274/r0011516.
Pełny tekst źródłaVecherin, Sergey, Stephen Ketcham, Aaron Meyer, Kyle Dunn, Jacob Desmond i Michael Parker. Short-range near-surface seismic ensemble predictions and uncertainty quantification for layered medium. Engineer Research and Development Center (U.S.), wrzesień 2022. http://dx.doi.org/10.21079/11681/45300.
Pełny tekst źródłaOliver, Amanda, Catherine Murphy, Edmund Howe i John Vest. Comparing methods for estimating water surface elevation between gages in the Lower Mississippi River. Engineer Research and Development Center (U.S.), kwiecień 2023. http://dx.doi.org/10.21079/11681/46915.
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