Relevant bibliographies by topics / Predicition

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Predicition'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Predicition"

1

Hakim, Edward B. "Plastic encapsulated microcircuit reliability predicition: why?" Microelectronics Reliability 38, no. 4 (1998): 681–83. http://dx.doi.org/10.1016/s0026-2714(97)00219-9.

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Jain, Pulkita, and Mudassir Rashid. "Predictive Modeling for Early Hyperglycemia Detection in Type 2 Diabetes." Illinois Tech Undergraduate Research Journal 1, no. 1 (2023): 6. http://dx.doi.org/10.18409/urjiit.v1i1.44.

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Type 2 Diabetes (T2D) is characterized by a combination of defects in insulin action and impairment in insulin secretion. Deficient insulin action causes people with Type 2 Diabetes to have difficulty controlling their blood glucose concentration (BGC) and experience periods of high (hyperglycemia) and low (hypoglycemia) BGC. Continuous glocuse monitoring (CGM) sensors and machine learning algorithms can automate the process of meal size estimation, improve the accuracy of the carbohydrate estimations, and reduce the involvement of the subject. The aim of this project was to use dynamic Partia
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Tian, Bo, Hui Long Ren, and Zhi Yuan Dong. "Research on Longitudinal Motion Prediction of Hybrid Monohull Considering Based on Numerical Simulation." Applied Mechanics and Materials 716-717 (December 2014): 776–79. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.776.

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The shape of hybrid monohull at the bow is quite complex and the viscosity force is the main component of the damping force in the drainage area of the bow when the ship moves in waves so that the result of the motion predicition by the traditional potential flow method is very different from the result of experiments. This paper tries to use new numerical compute method considering the effect of the viscosity to improve the precision of the sea keeping predicition. Based on the Reynolds Averaged N-S Equations (RANS) method, the paper takes a hrbrid monohull to compute the hydrodynamic coeffic
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Peter, Jerine S., Nagesh Kishan Panchal, Aishwaria V. Nair, Kshitija Joshi, Andrews Shobhy Sosa, and Evan Prince Sabina. "ADME and Inhibitory target molecules predicition of Cyamopsis tetragonoloba." RESEARCH JOURNAL OF PHARMACY AND TECHNOLOGY 14, no. 1 (2021): 146–52. http://dx.doi.org/10.5958/0974-360x.2021.00026.3.

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Kallunki, J. "The Predicition of Solar Flares Using Millimeter Radio Brightenings." Latvian Journal of Physics and Technical Sciences 60, no. 2 (2023): 43–51. http://dx.doi.org/10.2478/lpts-2023-0010.

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Abstract Solar activity could have significant impacts on various Earth and near-Earth space systems, such as satellite communication and power grid systems. The prediction of solar activity and active solar events plays a major role when preparing for these disturbances. Various satellite-based instruments constantly observe the Sun. However, only a few ground-based solar instruments could provide versatile enough information for the space weather prediction. Metsähovi Radio Observatory of Aalto University (Finland) has a unique collection of millimetre (8 mm) solar radio maps over the past 4
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Wu, Shao Chen, Hai Sheng Liu, and Fu Liang Deng. "Segmented Auxiliary Power Model Based on Particle Swarm Optimization." Advanced Materials Research 1044-1045 (October 2014): 1321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1321.

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The traditional modeling approach of auxiliary power is the least squares method, however, accuracy of the traditional least squares method is not high in fitting and forecasting, so we introduced segmentation method of least squares model, and consider the impact of many factors on the model ,proposed the improved least square method based on PSO. Application prove this method has a better fitting precision and predicition accuracy.
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Roemer, F. W., C. K. Kwoh, T. Fujii, et al. "OP0124 Mri-Based Long Term Predicition of Incident Radiographic Osteoarthritis." Annals of the Rheumatic Diseases 73, Suppl 2 (2014): 108.1–108. http://dx.doi.org/10.1136/annrheumdis-2014-eular.3209.

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Manukyan, Larisa Vladimirovna, Anush Ashotovna Margaryan, Suren Vladimirovich Tovmasyan, and Narine Vahanovna Harutyunyan. "CRUSTAL DISPLACEMENT BASED ON THREE STAGES GEODETIC STUDIES RESULTS IN SPITAK GEODYNAMIC POLYGON." EurasianUnionScientists 2, no. 6(75) (2020): 37–41. http://dx.doi.org/10.31618/esu.2413-9335.2020.2.75.832.

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A network of dual-frequency global navigation satellite systems and digital levelling instruments has been established around Spitak, Armenia with the goal of recording changes to the Earth’s crust near to this major earthquake zone. The study was initiated in response to the 1988 Armenian earthquake and is focused on the Sarighamish, Javakhet, Pambak-Sevan, Spitak and Akhuryan faults. Results demonstrate differential movement across fault zones that suggest monitoring of crustal change could be useful in the predicition of large earthquake events.
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Misawa, Masayoshi. "Deployment reliability predicition for large satellite antennas driven by spring mechanisms." Journal of Spacecraft and Rockets 31, no. 5 (1994): 878–82. http://dx.doi.org/10.2514/3.26526.

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Lin, Xin Yan, Yan Li, and Zhang Yan. "Load-Deflection Analysis of RC Beams Strengthened with External CFRP Sheets." Applied Mechanics and Materials 166-169 (May 2012): 1830–35. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.1830.

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Abstract. This paper is dedicated to the load-deflection analysis of RC beams strengthened with external CFRP sheets. A theoretical nonlinear model, based on slip and bond stresses, is described and adopted for the deformability predicition of beams. The model allows considering the bond-slip relationships both between concrete and steel bar and between concrete and CFRP. Comparisons between the simulated midspan deflection and that of experiment indicate that the proposed nonlinear model is able to predict the deformability behavior of RC beams strengthened with external CFRP sheets.
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Dissertations / Theses on the topic "Predicition"

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Høst, Jan. "In silico predicition of intestinal transport /." Cph. : The Danish University of Pharmaceutical Sciences, 2006. http://www.dfuni.dk/index.php/Jan_Hoest/3066/0/.

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Jahanbakhsh, Alireza. "Predicition of air flow in diesel combustion chambers." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/38049.

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黃小華 and Siu-wah Wong. "Predicition of fatigue crack propagation using strain energy density method." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31209506.

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Wong, Siu-wah. "Predicition of fatigue crack propagation using strain energy density method /." [Hong Kong : University of Hong Kong], 1989. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12751601.

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Smith, Marcus Edward Brockbank. "A Parametric Physics Based Creep Life Prediction Approach to Gas Turbine Blade Conceptual Design." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22637.

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The required useful service lives of gas turbine components and parts are naturally one of the major design constraints limiting the gas turbine design space. For example, the required service life of a turbine blade limits the firing temperature in the combustor, which in turn limits the performance of the gas turbine. For a cooled turbine blade, it also determines the necessary cooling flow, which has a strong impact on the turbine efficiency. In most gas turbine design practices, the life prediction is only emphasized during or after the detailed design has been completed. Limited life pred
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Isacson, Jonas. "Network Interconnectivity Prediction from SCADA System Data : A Case Study in the Wastewater Industry." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255812.

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Increased strain on incumbent wastewater distribution networks originating from population increases as well as climate change calls for enhanced resource utilization. Accurately being able to predict network interconnectivity is vital within the wastewater industry to enable operational management strategies that optimizes the performance of the wastewater system. In this thesis, an evaluation of the network interconnectivity prediction performance of two machine learning models, the multilayer perceptron (MLP) and the support vector machine (SVM), utilizing supervisory control and dataacquis
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Unno, Takahiro. "An improved mixed excitation linear predicitive (MELP) coder." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13270.

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Engelmann, James E. "An Information Management and Decision Support tool for Predictive Alerting of Energy for Aircraft." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1595779161412401.

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Giannakou, Antri. "Prediciting the progression of cognitive impairment in memory clinics." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600726.

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Neuropsychological tests are routinely undertaken at memory clinics to help diagnose Mild Cognitive Impairment (MCI) and Dementia. For those patients found to have MCI it would be clinically valuable to be able to distinguish patients at high risk of progressing to Dementia. The aim of this Thesis is to develop a prognostic algorithm using neuropsychological test performance, in order to estimate the probability of progressing to dementia in patients with MC!. The cohort providing data attended the BRACE memory clinic in Bristol, UK and comprises 643 MCI patients, 268 of whom were observed to
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Wilson, David J. "A comparison of high-latitude ionosphere propagation predicitions from AMBCOM with measured data." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/43734.

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Approved for public release; distribution is unlimited.<br>This thesis examines the performance of SRI's Ambient Communications (AMBCOM) model for high latitude propagation prediction. It is one in a series of studies, conducted at the Naval Postgraduate School, to establish the relative merits of several computer-based propagation prediction models using a standard set of measured data. AMBCOM modeled the propagation path between a transmitter located in the polar cap region and several midlatitude receiver sites. Model predictions were matched to measured data obtained during two high- latit
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Books on the topic "Predicition"

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R, Foster George, and Renard Kenneth G, eds. Soil erosion: Processes, predicition, measurement, and control. John Wiley & Sons, 2002.

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Reed, Matthew Paul. Statistical and biomechanical predicition of automobile driving posture. University of Michigan, 1998.

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Denkena, Berend. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer Berlin Heidelberg, 2013.

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Derek, Parker. Parkers' prediction pack: A compelling guide to divination : look into the future and plan your life using three systems of predicition--I ching, tarot, runes. DK Pub., 1999.

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John F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.

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John F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.

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Nicolis, G., and Cathy Nicolis. Foundations of Complex Systems: Emergence, Information and Predicition. World Scientific Publishing Co Pte Ltd, 2012.

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Process Machine Interactions Predicition And Manipulation Of Interactions Between Manufacturing Processes And Machine Tool Structures. Springer, 2012.

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Denkena, Berend, and Ferdinand Hollmann. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer, 2012.

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Denkena, Berend, and Ferdinand Hollmann. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer, 2014.

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Book chapters on the topic "Predicition"

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Saha, Budhaditya, Sunil K. Gupta, and Svetha Venkatesh. "Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18038-0_18.

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Wang, Junlong, Yongqi Leng, Xinyu Zhai, Linlin Zong, Hongfei Lin, and Bo Xu. "Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System." In Natural Language Processing and Chinese Computing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44699-3_33.

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Pham, Duc An, and Duc Toan Nguyen. "Auto-tuning Prediciton and Control Horizon of Model Predictive Control Approach to Motion Cueing Algorithm Applied in Robocoaster Motion Platform." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99666-6_93.

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Waschulzik T., Quandt K., Lewis M., Hörmann A., Engelbrecht R., and Brauer W. "Evaluation of an epidemiological data set as an example of the application of neural networks to the analysis of large medical data sets." In Studies in Health Technology and Informatics. IOS Press, 1993. https://doi.org/10.3233/978-1-60750-854-0-466.

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The objective of this paper is to assess the suitability of neural networks for the analysis of large medical data sets. For this purpose, we used an epidemiological data set from the Augsburg MONICA study (MONItoring trends and determinants in CArdiovascular diseases). The method of perceptron analysis and the interpretation of the model established by the network are explained. The results of a predicition of survival or death of patients who suffered acute myocardial infarction show that even simple perceptrons yield good classification quality. Further, the analysis of the connections within the neural network leads to information about relations between input and output data which are of interest for future epidemiological research. The results of these investigations can also be applied to other medical data sets like data on the segmentation of CTs and ECG data for the diagnosis of myocardial infarction.
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"The Representation of Structure in Sequence Prediciton Tasks." In Attention and Performance XV. The MIT Press, 1994. http://dx.doi.org/10.7551/mitpress/1478.003.0042.

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Beebe, Ray. "Preface." In Predicitive Maintenance of Pumps Using Condition Monitoring. Elsevier, 2004. http://dx.doi.org/10.1016/b978-185617408-4/50000-0.

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Beebe, Ray S. "Condition monitoring and its part in maintenance." In Predicitive Maintenance of Pumps Using Condition Monitoring. Elsevier, 2004. http://dx.doi.org/10.1016/b978-185617408-4/50001-2.

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Beebe, Ray S. "Pump performance and the effect of wear." In Predicitive Maintenance of Pumps Using Condition Monitoring. Elsevier, 2004. http://dx.doi.org/10.1016/b978-185617408-4/50002-4.

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Beebe, Ray S. "Performance analysis and testing of pumps for condition monitoring." In Predicitive Maintenance of Pumps Using Condition Monitoring. Elsevier, 2004. http://dx.doi.org/10.1016/b978-185617408-4/50003-6.

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Beebe, Ray S. "Performance analysis and its application to optimise time for overhaul." In Predicitive Maintenance of Pumps Using Condition Monitoring. Elsevier, 2004. http://dx.doi.org/10.1016/b978-185617408-4/50004-8.

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Conference papers on the topic "Predicition"

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Pandey, A., and A. K. Upadhyay. "Toxicity Predicition of 3D-Domain Swapped Predicted Proteins using Machine Learning Approach." In 2024 International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3). IEEE, 2024. https://doi.org/10.1109/ic2e362166.2024.10827572.

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Bamba, Renaldi Mahardika Putra, Isman Kurniawan, and Widi Astuti. "In Silico-Based Toxicity Predicition Using Camel Algorithm-Support Vector Machine: Case Study NR-AhR Toxicity Type." In 2024 International Conference on Data Science and Its Applications (ICoDSA). IEEE, 2024. http://dx.doi.org/10.1109/icodsa62899.2024.10652195.

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Lee, Seung-Hyeon, In-Jun Yang, Won-Ho Kim, and Ik sang Jang. "Vibration Predicition using Relative Permeance of IPMSM." In 2020 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2020. http://dx.doi.org/10.1109/ecce44975.2020.9236207.

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Woollam, Richard Charles, and Sandra Hernandez. "Assessment and comparison of CO2 corrosion predicition models." In SPE International Oilfield Corrosion Symposium. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/100673-ms.

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Liu, Wenye, Cong Sun, Yechao Han, and Laifu Du. "Predicition of Three-Dimensional Structure of CTGF Protein." In 2015 7th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2015. http://dx.doi.org/10.1109/itme.2015.176.

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Mallika, C., and S. Selvamuthukumaran. "Hadoop framework: Analyzes workload predicition of data from cloud computing." In 2017 International Conference on IoT and Application (ICIOT). IEEE, 2017. http://dx.doi.org/10.1109/iciota.2017.8073624.

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Aktas, Fikret, and Feza Buzluca. "A Learning-Based Bug Predicition Method for Object-Oriented Systems." In 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS). IEEE, 2018. http://dx.doi.org/10.1109/icis.2018.8466535.

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Kaiser, Fabian, Andreas Gropp, Daniele Savio, Daniel Frölich, Christian Wilbs, and Dirk Möhring. "Predicition of RSS Sealing Performance by Fully Coupled EHL Simulation." In International Sealing Conference. VDMA Fluidtechnik, 2024. http://dx.doi.org/10.61319/2oahh0dh.

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The pumping and leakage behavior of radial shaft seals (RSS) has challenged researchers for more than half a century. The main phenomena contributing to reverse pumping have been identified some decades ago, e.g. by Kammüller. However, there is no conclusive proof nor comprehensive model for the exact sealing mechanisms, making it impossible to derive precise guidelines for radial shaft seal design. Thus, the question how to tune and optimize RSS is still open to this day. To change this, Freudenberg has developed its own simulation tool to gain insight in the pumping mechanism and the sealing
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Ma, Limei, and Fangwei Wang. "The Predicition of Haze Based on BP Neural Network and Matlab." In 2017 International Conference on Computer Network, Electronic and Automation (ICCNEA). IEEE, 2017. http://dx.doi.org/10.1109/iccnea.2017.21.

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Atlas, Robert M., G. David Emmitt, Joseph Terry, et al. "Potential impact of space-based lidar wind profiles on weather predicition." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Upendra N. Singh. SPIE, 2003. http://dx.doi.org/10.1117/12.503859.

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Reports on the topic "Predicition"

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Parameswaran, Naveen Kumar, Everardo González, Ewa Burkicz-Galerne, Malte Braack, and Klaus Wallmann. Global Prediction Of Total Organic Carbon In Marine Sediments Using (Software) Deep Neural Networks (nn-toc). GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2024. http://dx.doi.org/10.3289/sw_3_2024.

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We create a deep neural network based approach for the geospatial predicition of total organic carbon percentages in marine sediments. The code in the repository includes jupyter notebooks and python files to pre-process the data, train the models and post-process the outputs.
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