Literatura académica sobre el tema "PREDICTION MODELS APPLICATIONS"
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Artículos de revistas sobre el tema "PREDICTION MODELS APPLICATIONS"
Chung, Chang-Jo. "Spatial Prediction Models and Applications." GEOINFORMATICS 12, n.º 2 (2001): 58–59. http://dx.doi.org/10.6010/geoinformatics.12.58.
Texto completoDammann, Maximilian Peter, Wolfgang Steger y Kristin Paetzold-Byhain. "OPTIMISED MODELS FOR AR/VR BY USING GEOMETRIC COMPLEXITY METRICS TO CONTROL TESSELLATION". Proceedings of the Design Society 3 (19 de junio de 2023): 2855–64. http://dx.doi.org/10.1017/pds.2023.286.
Texto completoLei, Xiangdong, Changhui Peng, Haiyan Wang y 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, n.º 1 (1 de enero de 2009): 43–56. http://dx.doi.org/10.5558/tfc85043-1.
Texto completoPintelas, Emmanuel, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis y Panagiotis Pintelas. "Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction". Journal of Imaging 6, n.º 6 (28 de mayo de 2020): 37. http://dx.doi.org/10.3390/jimaging6060037.
Texto completoMoskolaï, Waytehad Rose, Wahabou Abdou, Albert Dipanda y Kolyang. "Application of Deep Learning Architectures for Satellite Image Time Series Prediction: A Review". Remote Sensing 13, n.º 23 (27 de noviembre de 2021): 4822. http://dx.doi.org/10.3390/rs13234822.
Texto completoKim, Donghyun, Heechan Han, Wonjoon Wang, Yujin Kang, Hoyong Lee y Hung Soo Kim. "Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction". Applied Sciences 12, n.º 13 (1 de julio de 2022): 6699. http://dx.doi.org/10.3390/app12136699.
Texto completoColditz, Graham A. y Esther K. Wei. "Risk Prediction Models: Applications in Cancer Prevention". Current Epidemiology Reports 2, n.º 4 (30 de septiembre de 2015): 245–50. http://dx.doi.org/10.1007/s40471-015-0057-1.
Texto completoHe, Jianqin, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Lemuel R. Waitman y Mei Liu. "Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records". JAMIA Open 2, n.º 1 (15 de noviembre de 2018): 115–22. http://dx.doi.org/10.1093/jamiaopen/ooy043.
Texto completoHong, Feng, Lu Tian y Viswanath Devanarayan. "Improving the Robustness of Variable Selection and Predictive Performance of Regularized Generalized Linear Models and Cox Proportional Hazard Models". Mathematics 11, n.º 3 (20 de enero de 2023): 557. http://dx.doi.org/10.3390/math11030557.
Texto completoZhao, Zeyuan, Ping Li, Yongjie Dai, Zhaoe Min y Lei Chen. "Multi-Task Deep Evidential Sequence Learning for Trustworthy Alzheimer’s Disease Progression Prediction". Applied Sciences 13, n.º 15 (3 de agosto de 2023): 8953. http://dx.doi.org/10.3390/app13158953.
Texto completoTesis sobre el tema "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/.
Texto completoDolan, 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.
Texto completoBean, Brennan L. "Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction". DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7579.
Texto completoKhondaker, 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.
Texto completoMacLellan, 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.
Texto completoAl-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.
Texto completoSobhani, Negin. "Applications, performance analysis, and optimization of weather and air quality models". Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5996.
Texto completoRose, 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.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Environment and Sc
Science, Environment, Engineering and Technology
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García, Durán Alberto. "Learning representations in multi-relational graphs : algorithms and applications". Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2271/document.
Texto completoInternet 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.
Texto completoLibros sobre el tema "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.
Buscar texto completoUnited States. National Telecommunications and Information Administration., ed. 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.
Buscar texto completoDeMinco, 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.
Buscar texto completoUnited States. National Telecommunications and Information Administration, ed. 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.
Buscar texto completoCenter, Langley Research, ed. 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.
Buscar texto completoAutomotive model predictive control: Models, methods and applications. Berlin: Springer, 2010.
Buscar texto completoMcMillan, Gregory K. Models unleashed: Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC: ISA, 2004.
Buscar texto completoPhillips, Peter C. B. Bayesian model selection and prediction with empirical applications. New Haven, CN: Yale University, Cowles Foundation, 1992.
Buscar texto completoJames, Judge W., Sebastian Lynne y Altschul Jeffrey H, eds. 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.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Modeling improvements and users manual for axial-flow turbine off-design computer code AXOD. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Buscar texto completoCapítulos de libros sobre el tema "PREDICTION MODELS APPLICATIONS"
Steyerberg, E. W. "Applications of prediction models". En 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.
Texto completoSteyerberg, Ewout W. "Applications of Prediction Models". En Statistics for Biology and Health, 15–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16399-0_2.
Texto completoGopakumar, Shivapratap, Truyen Tran, Dinh Phung y Svetha Venkatesh. "Stabilizing Linear Prediction Models Using Autoencoder". En Advanced Data Mining and Applications, 651–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_46.
Texto completoBriggs, William M. "Testing, Prediction, and Cause in Econometric Models". En Econometrics for Financial Applications, 3–19. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73150-6_1.
Texto completoAgarwal, Shrey, Yashaswi Upmon, Riyan Pahuja, Ganesh Bhandarkar y Suresh Chandra Satapathy. "Student Performance Prediction Using Classification Models". En 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.
Texto completoZhang, David, Dongmin Guo y Ke Yan. "Improving the Transfer Ability of Prediction Models". En Breath Analysis for Medical Applications, 91–112. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4322-2_6.
Texto completoSkovranek, Tomas y Vladimir Despotovic. "Signal prediction using fractional derivative models". En Applications in Engineering, Life and Social Sciences, Part B, editado por Dumitru Bǎleanu y António Mendes Lopes, 179–206. Berlin, Boston: De Gruyter, 2019. http://dx.doi.org/10.1515/9783110571929-007.
Texto completoPsathas, Anastasios Panagiotis, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas y Ioannis M. Dokas. "Autoregressive Deep Learning Models for Bridge Strain Prediction". En Engineering Applications of Neural Networks, 150–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08223-8_13.
Texto completoBoudali, Imen y Ines Belhadj Messaoud. "Machine Learning Models for Toxicity Prediction in Chemotherapy". En Intelligent Systems Design and Applications, 350–64. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35510-3_34.
Texto completoAlsinglawi, Belal, Fady Alnajjar, Omar Mubin, Mauricio Novoa, Ola Karajeh y Omar Darwish. "Benchmarking Predictive Models in Electronic Health Records: Sepsis Length of Stay Prediction". En Advanced Information Networking and Applications, 258–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_24.
Texto completoActas de conferencias sobre el tema "PREDICTION MODELS APPLICATIONS"
Camps, Octavia I. "Prediction models from CAD models of 3D objects". En Applications in Optical Science and Engineering, editado por David P. Casasent. SPIE, 1992. http://dx.doi.org/10.1117/12.131616.
Texto completoGiang, Le Truong, Dongwon Kang y Doo-Hwan Bae. "Software Fault Prediction Models for Web Applications". En 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2010. http://dx.doi.org/10.1109/compsacw.2010.19.
Texto completoBoni, Mohammad Al y Matthew S. Gerber. "Area-Specific Crime Prediction Models". En 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2016. http://dx.doi.org/10.1109/icmla.2016.0118.
Texto completoOstrowski, David Alfred. "Model segmentation for numerical prediction". En 2009 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA). IEEE, 2009. http://dx.doi.org/10.1109/hima.2009.4937821.
Texto completoNguyen, Tien M., Hien T. Tran, Zhonghai Wang, Amanda Coons, Charles C. Nguyen, Steven A. Lane, Khanh D. Pham, Genshe Chen y Gang Wang. "RFI modeling and prediction approach for SATOP applications: RFI prediction models". En SPIE Defense + Security, editado por Khanh D. Pham y Genshe Chen. SPIE, 2016. http://dx.doi.org/10.1117/12.2223518.
Texto completoKalajdjieski, Jovan, Georgina Mirceva y Slobodan Kalajdziski. "Attention Models for PM2.5 Prediction". En 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT). IEEE, 2020. http://dx.doi.org/10.1109/bdcat50828.2020.00010.
Texto completoBoring, Matthew A., Wei Zhang y William A. Bruce. "Improved Burnthrough Prediction Model for In-Service Welding Applications". En 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64353.
Texto completoSyeed, Miah Mohammad Asif, Maisha Farzana, Ishadie Namir, Ipshita Ishrar, Meherin Hossain Nushra y Tanvir Rahman. "Flood Prediction Using Machine Learning Models". En 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2022. http://dx.doi.org/10.1109/hora55278.2022.9800023.
Texto completoKerce, J. Clayton y Francois Vandenberghe. "A lower bound for prediction uncertainty in nowcasting/forecasting models". En Optical Engineering + Applications, editado por Xiaolei Zou, Dale Barker y Francois-Xavier Le Dimet. SPIE, 2007. http://dx.doi.org/10.1117/12.740665.
Texto completoLee, Yunli, Leslie Tiong Ching Ow y David Ngo Chek Ling. "Hidden Markov Models for Forex Trends Prediction". En 2014 International Conference on Information Science and Applications (ICISA). IEEE, 2014. http://dx.doi.org/10.1109/icisa.2014.6847408.
Texto completoInformes sobre el tema "PREDICTION MODELS APPLICATIONS"
Chernozhukov, Victor, Alexandre Belloni y Mingli Chen. Quantile graphical models: prediction and conditional independence with applications to systemic risk. The IFS, diciembre de 2017. http://dx.doi.org/10.1920/wp.cem.2017.5417.
Texto completoMeier, 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, diciembre de 2015. http://dx.doi.org/10.21236/ad1003080.
Texto completoBubenik, T. A., R. D. Fischer, G. R. Whitacre, D. J. Jones, J. F. Kiefner, M. Cola y W. A. Bruce. API-WCR Investigation and Prediction of Cooling Rates During Pipeline Maintenance Welding. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), diciembre de 1991. http://dx.doi.org/10.55274/r0011852.
Texto completoCheng y Wang. L52025 Calibration of the PRCI Thermal Analysis Model for Hot Tap Welding. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), enero de 2004. http://dx.doi.org/10.55274/r0010298.
Texto completoHarris, Aubrey, Nathan Richards y S. McKay. Defining levels of effort for ecological models. Engineer Research and Development Center (U.S.), septiembre de 2023. http://dx.doi.org/10.21079/11681/47642.
Texto completoWei, Dongmei, Yang Sun y 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, abril de 2023. http://dx.doi.org/10.37766/inplasy2023.4.0014.
Texto completoBlanco, Roberto, Elena Fernández, Miguel García-Posada y Sergio Mayordomo. An estimation of the default probabilities of Spanish non-financial corporations and their application to evaluate public policies. Madrid: Banco de España, septiembre de 2023. http://dx.doi.org/10.53479/33512.
Texto completoZhu, Xian-Kui, Brian Leis y Tom McGaughy. PR-185-173600-R01 Reference Stress for Metal-loss Assessment of Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), agosto de 2018. http://dx.doi.org/10.55274/r0011516.
Texto completoVecherin, Sergey, Stephen Ketcham, Aaron Meyer, Kyle Dunn, Jacob Desmond y Michael Parker. Short-range near-surface seismic ensemble predictions and uncertainty quantification for layered medium. Engineer Research and Development Center (U.S.), septiembre de 2022. http://dx.doi.org/10.21079/11681/45300.
Texto completoOliver, Amanda, Catherine Murphy, Edmund Howe y John Vest. Comparing methods for estimating water surface elevation between gages in the Lower Mississippi River. Engineer Research and Development Center (U.S.), abril de 2023. http://dx.doi.org/10.21079/11681/46915.
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